SlideShare a Scribd company logo
1 of 49
Download to read offline
Economic recovery
and inflation
Marek Dabrowski
No. 494 (2018)
CASE Reports
This policy contribution was prepared for the Committee on Economic and Monetary
Affairs of the European Parliament (ECON) as an input for the Monetary Dialogue
of 26 February 2018 between ECON and the President of the ECB
(http://www.europarl.europa.eu/committees/en/econ/monetary-dialogue.html)
Copyright remains with the European Parliament at all times
“CASE Reports” is a continuation of “CASE Network Studies & Analyses” series.
Keywords:
monetary policy, inflation, economic growth, unemployment, money multiplier, money
velocity
JEL Codes:
E24, E31, E41, E51, E52
© CASE – Center for Social and Economic Research, Warsaw, 2018
Graphic Design:
Katarzyna Godyń-Skoczylas | grafo-mania
EAN:
9788371786693
Publisher:
CASE – Center for Social and Economic Research
Al. Jana Pawla II 61, office 212, 01-031 Warsaw, Poland
tel.: (48 22) 206 29 00, 828 61 33, fax: (48 22) 206 29 01
e-mail: case@case-research.eu
www.case-research.eu
CASE Working Paper | No 1 (2015)
3
Author.  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 6
Abstract .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 7
Executive Summary.  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 8
1. Introduction.  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 10
2. Analysis of macroeconomic trends.  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 12
2.1. GDP, inflation, and unemployment trends between
2000 and 2016 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12
2.2. Interrelation between growth, inflation, and unemployment. . . . . . . 16
2.3. GDP, inflation, and unemployment in the EA economies . . . . . . . . . . 23
2.4. Looking ahead: review of short-to-medium-term
economic forecasts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
3. Factors having an impact on inflation level .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 30
3.1. Decreasing money multiplier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30
3.2. Decreasing money velocity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34
3.3. Supply-side shocks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
3.4. CPI and asset prices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37
4.  Implications for monetary policy .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 42
5. Summary and conclusions .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 46
References.  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 48
Table of Contents
CASE Working Paper | No 1 (2015)
4
List of Tables and Figures
Table 1: Major advanced economies: output gap,
2015‒2018 (in % of potential GDP).  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 28
Figure 1: Annual change in GDP, constant prices,
2000‒2022 (in %).  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 13
Figure 2: Inflation, end of period, 2000‒2022 (in %) .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 14
Figure 3: Unemployment rate, 2000‒2022 (in % of total labour force) .  .  .  .  . 16
Figure 4: Euro area: real GDP, inflation, and unemployment, 2000‒2016 . . 17
Figure 5: Euro area: interrelation between inflation and unemployment,
2000‒2016. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 18
Figure 6: United States: real GDP, inflation, and unemployment,
2000‒2016. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 19
Figure 7: United States: interrelation between inflation and unemployment,
2000‒2016. .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 20
Figure 8: Japan: real GDP, inflation, and unemployment, 2000‒2016.  .  .  .  .  . 21
Figure 9: Japan: interrelation between inflation and unemployment,
2000‒2016 .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 22
Figure 10: Annual change in GDP, constant prices, EA economies,
2016‒2017 (in %). .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 24
Figure 11: Inflation (HICP), end‒of‒period, EA economies,
December 2017 (in %). .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 25
CASE Working Paper | No 1 (2015)
5
Figure 12: Unemployment rate, EA economies, 2016‒2017
(in % of total labour force) .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 26
Figure 13: Money multiplier in the US, EA, and Japan,
2002‒2016 (broad money / base money) .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 32
Figure 14: Central bank liabilities to other depository corporations,
the US, EA, and Japan, 2002‒2016 .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 33
Figure 15: Broad money velocity in the US, EA, and Japan,
2002‒2016 (nominal GDP / broad money). .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 35
Figure 16: Indexes of commodity prices, 2000‒2017 (2005=100).  .  .  .  .  .  .  .  . 36
Figure 17: Inflation (HICP and HICP minus energy),
annual average, EA, 2008‒2017 (in %) .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 37
Figure 18: The US stock market composite S&P index, 2004‒2017 .  .  .  .  .  .  . 38
Figure 19: The Boerse Frankfurt stock market index, 2004‒2017.  .  .  .  .  .  .  .  . 39
Figure 20: The US Nominal Home Prices Index,
2000‒2018 (01.01.2000=100) .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 40
Figure 21: The Real Home Price Index, selected EA countries,
2000‒2016 (2015=100) .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  .  . 41
CASE Working Paper | No 1 (2015)
6
Marek Dabrowski is a Co-founder and Fellow at CASE - Center for Social and Economic
Research in Warsaw, Non-Resident Scholar at Bruegel, Brussels, and Professor of the
Higher School of Economics in Moscow. He was Chairman of the CASE Supervisory
Council and President of its Management Board (1991‒2011), Chairman of the Supervisory
Board of CASE Ukraine in Kyiv (1999‒2009 and 2013‒2015), and Member of the Board
of Trustees and Scientific Council of the E.T. Gaidar Institute for Economic Policy in Moscow
(1996‒2016). He also held positions of the First Deputy Minister of Finance of Poland
(1989‒1990), Member of Parliament (1991‒1993) and Member of the Monetary Policy
Council of the National Bank of Poland (1998‒2004). Since the end of 1980s he has been
involved in policy advising and policy research in Azerbaijan, Belarus, Bosnia and
Herzegovina, Bulgaria, Egypt, Georgia, Iraq, Kazakhstan, Kyrgyzstan, Macedonia, Moldova,
Mongolia, Montenegro, Poland, Romania, Russia, Saudi Arabia, Serbia, Syria, Turkmenistan,
Ukraine, Uzbekistan and Yemen, and in a number of international research projects
related to monetary and fiscal policies, growth and poverty, currency crises, international
financial architecture, perspectives of European integration, European Neighborhood
Policy and political economy of transition. He has also worked as consultant in a number
of EU, World Bank, IMF, UNDP, OECD and USAID projects. Fellow under the 2014‒2015
Fellowship Initiative of the European Commission – Directorate General for Economic
and Financial Affairs. Author of several academic and policy papers, and editor of several
book publications.
Author
CASE Working Paper | No 1 (2015)
7
In the last decade, advanced economies, including the euro area, experienced
deflationary pressures caused by the global financial crisis of 2007‒2009 and the anti-
-crisis policies that followed—in particular, the new financial regulations (which led to
a deep decline in the money multiplier). However, there are numerous signs in both the
real and financial spheres that these pressures are disappearing. The largest advanced
economies are growing up to their potential, unemployment is systematically decreasing,
the financial sector is more eager to lend, and its clients—to borrow. Rapidly growing asset
prices signal the possibility of similar developments in other segments of the economy.
In this new macroeconomic environment, central banks should cease unconventional
monetary policies and prepare themselves to head off potential inflationary pressures.
Abstract
CASE Working Paper | No 1 (2015)
8
● In the last decade, advanced economies, including the euro area, experienced
deflationary pressures caused by the global financial crisis of 2007‒2009 and the
esulting collapse in financial intermediation which, in turn, led to a deep decline
in the money multiplier and the money supply. The anti-crisis policies aimed at avoiding
a deflationary spiral similar to that of 1929‒1933 (by means of unconventional monetary
policies, including quantitative easing) and repeating financial crises in the future
(by tightening financial regulation) further pushed the money multiplier down. Other
deflationary shocks have come from the decreasing money velocity and the collapse
of world commodity prices in 2014‒2015. However, these deflationary factors have
had either a temporary or one-off character.
● In 2016‒2017, economic and monetary conditions started to change: most advanced
economies, including the euro area, entered a path of economic growth and have either
already closed or are about to close the negative output gap. There are signs of ris-
ing inflationary pressures, in particular, on asset markets. The post-crisis deflationary
factors are gradually disappearing. Commodity prices have started to increase again.
The money multiplier and money velocity are unlikely to continue their decline and
may start recovering soon, reflecting greater consumer and investment confidence
and faster credit growth.
● The recent growth recovery takes place in a low-inflation environment. This means
that low or even moderately negative inflation (for a certain period of time) does not
need to be damaging for growth and employment and that a Phillips curve type of
interrelation between inflation and unemployment does not necessarily hold in these
new circumstances.
● In the new macroeconomic environment, major central banks, including the ECB,
must prepare themselves to deal with potential inflationary pressures, which were
largely absent in the last decade. They should not continue pushing inflation up to the
Executive Summary
CASE Reports | No. 494 (2018)
9
officially-targeted level of 2%. There is nothing wrong if inflation remains below 2%,
so long as the economy is growing and a country’s negative output gap is disappearing.
Instead, they must focus their attention to avoid the risk of building new asset bubbles
(which may lead to a new round of financial crises if they burst) and overheating their
economies.
● Central banks must also intensify their work on departing from unconventional monetary
policy measures. It will not be an easy process because of the potential consequences
for financial markets (changes in the profile of the yield curve) and governments (push-
ing up the price of government securities), but this is the reason to start normalisation
sooner rather than later.
● As one of the lessons from the post-crisis experience, policy makers should remember
the strong impact of changes in financial regulation on the monetary condition,
a factor which was not always sufficiently understood in the last decade. Another lesson
points to the importance of constructing a broader price aggregate which, apart from
consumer prices, would also include asset prices. This could help avoid the illusion
of low inflation in situations where asset markets are evidently overheated.
CASE Working Paper | No 1 (2015)
10
A bit more than a decade has passed since the real estate market imploded in the United
States (US) in the summer of 2007, starting the most severe global financial crisis in the
post-WWII era. Central banks in major currency areas faced the dramatic challenge of how
to avoid a deep deflation and depression of the sort experienced by the world economy
in the late 1920s and early 1930s. This task has been largely accomplished by aggressive
monetary easing, including the prolonged use of unconventional monetary policy measures
such as asset purchase programmes (quantitative easing) and negative interest rates.
The period of the crisis-related recession was relatively short—in most advanced economies
(AE)1
it was limited to the second half of 2008 and the first half of 2009. Most emerg-
ing market and developing economies (EMDE) did not experience a recession at all.
A deflationary spiral was avoided even if the consumer price index (CPI) was temporarily
negative. However, the side effect of this success was a prolonged period of slow growth,
stagnation, or even moderate recession, depending on the country.
Only very recently, AE, including the European Union (EU) and euro area (EA), entered a
path of economic recovery; however, inflation remains low—in most cases, below central
banks’ inflation targets. In this context, the question arises whether low inflation is the “new
normal”—that is, has it become independent of the business cycle and is it driven by deeper
structural institutional changes in individual AE and the world economy as a whole? Or is it only
a temporary legacy of the global crisis and post-crisis policies, which may one day disappear?
This paper2
presents a brief analysis of the factors which influenced inflation trends
in three major AE (the US, the EA, and Japan) in the last decade and the potential durability
of these factors in the foreseeable future.
1  The terms advanced economies and emerging market and developing economies are borrowed from the International
Monetary Fund’s World Economic Outlook (IMF WEO) country grouping; for the most recent version of this grouping,
see http://www.imf.org/external/pubs/ft/weo/2017/02/weodata/weoselgr.aspx.
2  This is a reformated version of the briefing paper prepared in response to the request of the European
Parliament’s Committee on Economic and Monetary Affairs ahead of the European Parliament’s Monetary
Dialogue with the President of the European Central Bank on 26.02.2018 – http://www.europarl.europa.eu/
committees/en/econ/monetary-dialogue.html. The opinions expressed in this paper are the sole responsi-
bility of the author and do not necessarily represent the official position of the European Parliament, CASE
or other institutions, which the author is associated with. The author would like to thank Kristen Hartwell
for her editorial support.
1.  Introduction
11
CASE Reports | No. 494 (2018)
Our analysis will start with a review of macroeconomic trends since 2000 and
the available macroeconomic forecasts for major AE (Section 2), followed by a discussion
of the factors which may be responsible for low inflation, such as changes in financial
intermediation, other structural changes, various supply-side shocks, and the absorption
of excess liquidity by asset markets (Section 3). In this section, we will also try to assess
whether the analysed factors have a temporary or durable character and, in the case when
we deal with irreversible changes, whether they have a one-off character or whether
the new trend may continue. Based on this analysis and its findings, we will formulate
recommendations for the monetary policies of major central banks for the next few years
(Section 4). Section 5 will present conclusions.
In our analysis, we will use the data sources of the International Monetary Fund (IMF),
Eurostat, the European Commission, the European Central Bank (ECB), Frankfurt’ Stock
Exchange, and Robert Shiller’s database on US stock and home prices.
Our working hypothesis is that while the decade following the global financial crisis
of 2007‒2009 was unique for monetary policy makers due to the extraordinary macro-
economic circumstances created by the crisis itself, the anti-crisis policies that followed,
and some parallel changes of a structural and institutional character (which, in turn,
put downward pressure on inflation), many of these circumstances have had a one-off or
temporary character. In other words, central banks must be ready to respond to inflationary
pressures, which may return at some point.
CASE Working Paper | No 1 (2015)
12
In this section, we analyse the dynamics of GDP, inflation, and unemployment in the
three largest AE—the US, the EA, and Japan—between 2000 and 2016 (Subsection 2.1),
the interrelations between these three variables (Subsection 2.2), and the differences in
the macroeconomic situation within the EA (Subsection 2.3). We also review the available
short-to-medium term forecasts related to the major AE (Subsection 2.4).
2.1.  GDP, inflation, and unemployment trends between 2000
and 2016
Figures 1-3 present the annual changes in real GDP, end-of-year inflation, and un-
employment rates in the US, the EA, and Japan for the period of 2000‒2016, according
to the IMF World Economic Outlook database, October 2017 edition. For comparison,
we also present aggregate data for all AE and, in the case of GDP, additionally for the entire
world economy. In addition, each figure contains IMF estimates and forecasts for the period
of 2017‒2020—the subject of our analysis in Subsection 2.4.
2.  Analysis of macroeconomic trends
CASE Reports | No. 494 (2018)
13
Figure 1: Annual change in GDP, constant prices, 2000‒2022 (in %)
Source: IMF World Economic Outlook database, October 2017
Regarding GDP dynamics, Figure 1 clearly shows that both AE as a group and the three
largest AE analysed here have not been this century’s leaders of the world’s economic
growth (in fact, they had already lost their leadership roles in the early 1990s). Global
growth has been increasingly driven by the catch-up growth of EMDE before, during, and
after the global financial crisis of 2007‒2009.
As compared to the AE average, the US outperformed the others for most of the
examined period, except for 2001 (the dotcom recession and the shock which followed
the 9/11 terrorist attack), 2006‒2008, 2010, and 2016. Japan systematically under-
performed, except for 2010 and 2013. The EA also underperformed, except for 2001,
2006‒2008, and 2016; however, it performed better than Japan, except for 2003
and 2012‒2013 (the peak of the EA financial crisis).
Comparing the EA with the US, the former represented two periods of lower growth—
between 2002 and 2005 and between 2009 and 2015. Recently, in 2016-2017, the growth
rates of both economies tend to converge.
A decade after the eruption of the global financial crisis, it is also clear that neither
the global economy nor the AE are going to return to their pre-crisis rates of growth,
11
largest AE—the US, the EA, and Japan—between 2000 and 2016 (Subsection 2.1), the
interrelations between these three variables (Subsection 2.2), and the differences in the
macroeconomic situation within the EA (Subsection 2.3). We also review the available
short-to-medium term forecasts related to the major AE (Subsection 2.4).
2.1. GDP, inflation, and unemployment trends between 2000 and
2016
Figures 1-3 present the annual changes in real GDP, end-of-year inflation, and
unemployment rates in the US, the EA, and Japan for the period of 2000-2016, according
to the IMF World Economic Outlook database, October 2017 edition. For comparison, we
also present aggregate data for all AE and, in the case of GDP, additionally for the entire
world economy. In addition, each figure contains IMF estimates and forecasts for the period
of 2017-2020—the subject of our analysis in Subsection 2.4.
Figure 1: Annual change in GDP, constant prices, 2000-2022 (in %)
Source: IMF World Economic Outlook database, October 2017
Regarding GDP dynamics, Figure 1 clearly shows that both AE as a group and the three
largest AE analysed here have not been this century’s leaders of the world’s economic
growth (in fact, they had already lost their leadership roles in the early 1990s). Global
growth has been increasingly driven by the catch-up growth of EMDE before, during, and
after the global financial crisis of 2007-2009.
As compared to the AE average, the US outperformed the others for most of the examined
period, except for 2001 (the dotcom recession and the shock which followed the 9/11
terrorist attack), 2006-2008, 2010, and 2016. Japan systematically underperformed,
-6
-4
-2
0
2
4
6
Japan US
AE EA
World
14
CASE Reports | No. 494 (2018)
at least in the near future. This is not only a consequence of the unhealthy character
of the pre-crisis boom, which was based on several financial bubbles (see Dabrowski, 2010),
and crisis-related wounds (for example, far-reaching financial deleveraging—see Subsec-
tion 3.1), but also a consequence of changes in supply-side factors—not always necessarily
in favour of faster growth, such as a decline in the working-age population (Europe and
Japan), population aging, and the end of the main phase of the third industrial revolution
based on the mass implementation of information and communication technologies (ICT),
which caused the slow growth in total factor productivity as compared to the second half
of 1990s and early 2000s (Gordon, 2016, p.).
Figure 2: Inflation, end of period, 2000‒2022 (in %)
Source: IMF World Economic Outlook database, October 2017
Figure 2 shows that the inflation rate in Japan was systematically lower than in other AE,
except for a short episode in 2014. In several years (2000-2003, 2005, and 2009‒2012),
it was even negative, feeding the debate on the Japanese deflation trap (see e.g.,
Krugman, 1998; Ito and Mishkin, 2004; Murphy, 2016). Since 2000, the US has not record-
ed a negative inflation rate, and the EA—only once in 2014 (-0.2%). This means that the
12
except for 2010 and 2013. The EA also underperformed, except for 2001, 2006-2008, and
2016; however, it performed better than Japan, except for 2003 and 2012-2013 (the peak
of the EA financial crisis).
Comparing the EA with the US, the former represented two periods of lower growth—
between 2002 and 2005 and between 2009 and 2015. Recently, in 2016-2017, the growth
rates of both economies tend to converge.
A decade after the eruption of the global financial crisis, it is also clear that neither the
global economy nor the AE are going to return to their pre-crisis rates of growth, at least in
the near future. This is not only a consequence of the unhealthy character of the pre-crisis
boom, which was based on several financial bubbles (see Dabrowski, 2010), and crisis-
related wounds (for example, far-reaching financial deleveraging—see Subsection 3.1), but
also a consequence of changes in supply-side factors—not always necessarily in favour of
faster growth, such as a decline in the working-age population (Europe and Japan),
population aging, and the end of the main phase of the third industrial revolution based on
the mass implementation of information and communication technologies (ICT), which
caused the slow growth in total factor productivity as compared to the second half of 1990s
and early 2000s (Gordon, 2016, p. ).
Figure 2: Inflation, end of period, 2000-2022 (in %)
Source: IMF World Economic Outlook database, October 2017
Figure 2 shows that the inflation rate in Japan was systematically lower than in other AE,
except for a short episode in 2014. In several years (2000-2003, 2005, and 2009-2012), it
was even negative, feeding the debate on the Japanese deflation trap (see e.g., Krugman,
1998; Ito and Mishkin, 2004; Murphy, 2016). Since 2000, the US has not recorded a
negative inflation rate, and the EA—only once in 2014 (-0.2%). This means that the fear of
deflation so prevalent in the economic debates of both early 2000s and early 2010s was not
well grounded.
-3
-2
-1
0
1
2
3
4
5
Japan US
AE EA
CASE Reports | No. 494 (2018)
15
fear of deflation so prevalent in the economic debates of both early 2000s and early
2010s was not well grounded.
For most of the examined period, except for 2001, 2003, 2008, 2010, and 2015,
the EA had lower inflation than the US. However, until 2012, the EA inflation rate
frequently exceeded the level of 2% (the upper inflation target of the ECB). This occurred in
2000‒2002, 2004‒2005, 2007, and 2010‒2012. In several years (2000, 2002, 2004‒2007,
2011, and 2016), US inflation also exceeded 2%, the official inflation target of the Fed since
2012. Furthermore, US inflation performance has been slightly more volatile as compared
to the EA, especially in the period preceding the global financial crisis. However, Japanese
inflation was the most volatile among the three largest AE.
Figure 3 shows that the differences in the unemployment rates of the three analysed
AE have a systematic character. Japan has had the lowest unemployment rates, well below
the AE average, despite also having the lowest inflation and growth rates. The US have
also recorded unemployment rates below the AE average, except for the post-crisis period
of 2009-2012, but higher than those of Japan. The EA has had the highest level of un-
employment, above the AE average. The differences in unemployment rates seem to be
determined by the differences in the labour market institutions in individual economies.
CASE Reports | No. 494 (2018)
16
Figure 3: Unemployment rate, 2000‒2022 (in % of total labour force)
Source: IMF World Economic Outlook database, October 2017
2.2.  Interrelation between growth, inflation, and unemployment
Figures 4, 6, and 8 show the changes in real GDP, inflation, and unemployment for each
analysed country, while Figures 5, 7, and 9 plot inflation rates against unemployment rates
for each country and each year between 2000 and 2016 (they may be considered as a sort
of Phillips curve).
13
2002, 2004-2005, 2007, and 2010-2012. In several years (2000, 2002, 2004-2007, 2011,
and 2016), US inflation also exceeded 2%, the official inflation target of the Fed since
2012. Furthermore, US inflation performance has been slightly more volatile as compared
to the EA, especially in the period preceding the global financial crisis. However, Japanese
inflation was the most volatile among the three largest AE.
Figure 3 shows that the differences in the unemployment rates of the three analysed AE
have a systematic character. Japan has had the lowest unemployment rates, well below the
AE average, despite also having the lowest inflation and growth rates. The US have also
recorded unemployment rates below the AE average, except for the post-crisis period of
2009-2012, but higher than those of Japan. The EA has had the highest level of
unemployment, above the AE average. The differences in unemployment rates seem to be
determined by the differences in the labour market institutions in individual economies.
Figure 3: Unemployment rate, 2000-2022 (in % of total labour
force)
Source: IMF World Economic Outlook database, October 2017
2.2. Interrelation between growth, inflation, and unemployment
Figures 4, 6, and 8 show the changes in real GDP, inflation, and unemployment for each
analysed country, while Figures 5, 7, and 9 plot inflation rates against unemployment rates
for each country and each year between 2000 and 2016 (they may be considered as a sort
of Phillips curve).
2
3
4
5
6
7
8
9
10
11
12
AE
EA
Japan
US
CASE Reports | No. 494 (2018)
17
Figure 4: Euro area: real GDP, inflation, and unemployment, 2000‒2016
Source: IMF World Economic Outlook database, October 2017
Figure 4: Euro area: real GDP, inflation, and unemployment, 2000-
2016
Source: IMF World Economic Outlook database, October 2017
Figure 5: Euro area: interrelation between inflation and
unemployment, 2000-2016
Source: IMF World Economic Outlook database, October 2017
-6
-4
-2
0
2
4
6
8
10
12
14
Real GDP annual change, in %
Inflation, e-o-p, in %
Unemployment, % of labour force
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
7 8 9 10 11 12 13
Inflationrate,endoftheperiod,in%
Unemployment rate , in % of total labour force
2001
2000
2002
2003
200
42005
2006
2001
2000
2002
2003
2005
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
CASE Reports | No. 494 (2018)
18
Figure 5: Euro area: interrelation between inflation and unemployment, 2000‒2016
Source: IMF World Economic Outlook database, October 2017
14
Source: IMF World Economic Outlook database, October 2017
Figure 5: Euro area: interrelation between inflation and
unemployment, 2000-2016
Source: IMF World Economic Outlook database, October 2017
-6
-4
-2
0
2
4
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
7 8 9 10 11 12 13
Inflationrate,endoftheperiod,in%
Unemployment rate , in % of total labour force
2001
2000
2002
2003
200
42005
2006
2001
2000
2002
2003
2005
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
CASE Reports | No. 494 (2018)
19
Figure 6: United States: real GDP, inflation, and unemployment, 2000‒2016
Source: IMF World Economic Outlook database, October 2017
Economic recovery and inflation
Figure 6: United States: real GDP, inflation, and unemployment,
2000-2016
Source: IMF World Economic Outlook database, October 2017
Figure 7: United States: interrelation between inflation and
unemployment, 2000-2016
Source: IMF World Economic Outlook database, October 2017
-4
-2
0
2
4
6
8
10
Real GDP annual change, in %
Inflation, e-o-p, in %
Unemployment, % of labour force
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
3 4 5 6 7 8 9 10
Inflationrate,endoftheperiod,in%
Unemployment rate, in % of total labour force
2000
2004
2001
2003
2002
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
CASE Reports | No. 494 (2018)
20
Figure 7: United States: interrelation between inflation and unemployment, 2000‒2016
Source: IMF World Economic Outlook database, October 2017
15
Source: IMF World Economic Outlook database, October 2017
Figure 7: United States: interrelation between inflation and
unemployment, 2000-2016
Source: IMF World Economic Outlook database, October 2017
-4
-2
0
2
0
0.5
1
1.5
2
2.5
3
3.5
4
4.5
3 4 5 6 7 8 9 10
Inflationrate,endoftheperiod,in%
Unemployment rate, in % of total labour force
2000
2004
2001
2003
2002
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
CASE Reports | No. 494 (2018)
21
Figure 8: Japan: real GDP, inflation, and unemployment, 2000‒2016
Source: IMF World Economic Outlook database, October 2017
Figure 8: Japan: real GDP, inflation, and unemployment, 2000-2016
Source: IMF World Economic Outlook database, October 2017
Figure 9: Japan: interrelation between inflation and unemployment,
2000-2016
Source: IMF World Economic Outlook database, October 2017
-6
-4
-2
0
2
4
6
Real GDP annual change, in %
Inflation, e-o-p, in %
Unemployment, % of labour force
-2.5
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
2.5
3
3 3.5 4 4.5 5 5.5 6
Inflationrate,endoftheperiod,in%
Unemployment rate, in % of total labour force
2000
2004
2001
2003
2002
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
CASE Reports | No. 494 (2018)
22
Figure 9: Japan: interrelation between inflation and unemployment, 2000‒2016
Source: IMF World Economic Outlook database, October 2017
The interrelation between economic growth and unemployment is the easiest to detect
and analyse. In all three largest AE, the unemployment rate has been an inverse function
of changes in real GDP, with some lag. That is, it decreased following periods of economic
growth and increased as a reaction to a recession or growth slowdown. In Japan, the
amplitude of these reactions was the weakest (Figure 8), while in the US (Figure 6) ‒ the
strongest; the EA (Figure 4) represents the intermediate case.
The interrelation between growth and inflation looks more problematic. Before and
during the first phase of the global financial crisis (up to 2010), they broadly moved
together; although, for Japan and the EA, changes in GDP were more volatile than
changes in inflation. The opposite situation was experienced by the US. However, since
2010, growth and inflation trends have often moved in opposite directions in the three
currency areas—that is, periods of declining inflation were associated with growth recovery
and vice versa.
16
Source: IMF World Economic Outlook database, October 2017
Figure 9: Japan: interrelation between inflation and unemployment,
2000-2016
Source: IMF World Economic Outlook database, October 2017
-6
-4
-2
Real GDP annual change, in %
Inflation, e-o-p, in %
Unemployment, % of labour force
-2.5
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
2.5
3
3 3.5 4 4.5 5 5.5 6
Inflationrate,endoftheperiod,in%
Unemployment rate, in % of total labour force
2000
2004
2001
2003
2002
2005
2006
2007
2008
2009
2010
2011
2012
2013
2014
2015
2016
CASE Reports | No. 494 (2018)
23
Looking at the entire analysed period (2000-2016), the trend lines of growth and
inflation moved in parallel only in the EA (Figure 4). In the US (Figure 6), both declined,
but at various speeds (inflation faster than growth). In Japan (Figure 8), they moved in
opposite directions—that is, growth decreased and inflation increased, which may suggest
the ineffectiveness of the continuous anti-deflationary monetary and fiscal policies
(see Roach, 2017; Armstrong and Okimoto, 2016). This means that growth and inflation
are not necessarily strongly interconnected, in particular, in the post-crisis period,
and that the very low inflation experienced in recent years by several economies (not only
the three largest AE analysed in this paper) does not necessarily need to be associated
with weak growth.
Figures 5, 7, and 9 present the analysis of the interrelation between inflation and
unemployment. Again, in the long run, the trend lines demonstrate an inverse relationship
between both variables—that is, a sort of Phillips curve relationship, but not very strong.
In the short term, however, the changes of both variables do not necessarily follow this
pattern—that is, there are periods in which their relationship is positive (in both directions).
2.3.  GDP, inflation, and unemployment in the EA economies
While monetary policy usually aims at stabilising average price level (sometimes also
an output growth or unemployment rate) in a given currency area, in the case of the EA,
which is a monetary union of largely sovereign states (Dabrowski, 2015a), the ECB can-
not ignore macroeconomic developments in individual national economies. For this reason,
we take a brief look at the three basic macroeconomic indicators analysed in this section
(real GDP growth, inflation, and unemployment) in each EA Member State (Figures 10‒12).
IMF estimations confirm that, in 2017, all EA Member States recorded positive growth
and, in most of them, the rate of growth was higher (sometimes much higher) than
compared to 2016 (Figure 10). While differentiation in the expected 2017 growth rate
(from 1.5% in Italy to 5.1% in Malta) cannot be completely ignored, it should not be over-
dramatised. The highest growth rates concerned the smallest and most open economies,
some of which (Ireland, Slovenia, and Cyprus) recovered from the period of recession
caused by the financial crisis in the first half of the 2010s. Overall, one can say that
in 2016‒2017, the EA economies were on the path of economic recovery and that economic
growth looked quite solid as compared to the previous half of the decade (see Subsection
2.1).
Similarly, unemployment rates were declining everywhere except Estonia (Figure 12),
which could be considered as an additional sign of a solid EA-wide recovery. On the other
CASE Reports | No. 494 (2018)
24
hand, large cross-country differences in unemployment rates (from 3.8% in Germany to
22.3% in Greece) suggest various degrees of flexibility in national labour markets (this is
the area of economic policy that remains almost entirely in the competence of EU Member
States).
Figure 10: Annual change in GDP, constant prices, EA economies, 2016‒2017 (in %)
Source: IMF World Economic Outlook database, October 2017
the area of economic policy that remains almost entirely in the competence of EU Member
States).
Figure 10: Annual change in GDP, constant prices, EA economies,
2016-2017 (in %)
Source: IMF World Economic Outlook database, October 2017
Figure 11: Inflation (HICP), end-of-period, EA economies, December
2017 (in %)
Source: Eurostat,
http://ec.europa.eu/eurostat/tgm/web/_download/Eurostat_Table_teicp000FlagDesc_87bb
0
1
2
3
4
5
6
2016
2017 (IMF staff estimation)
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
4
CASE Reports | No. 494 (2018)
25
Figure 11: Inflation (HICP), end-of-period, EA economies, December 2017 (in %)
Source: Eurostat, http://ec.europa.eu/eurostat/tgm/web/_download/Eurostat_Table_teicp-
000FlagDesc_87bb6bcd-5ae3-4655-a2e3-1e6f8856b1b1.xls
18
Source: IMF World Economic Outlook database, October 2017
Figure 11: Inflation (HICP), end-of-period, EA economies, December
2017 (in %)
Source: Eurostat,
http://ec.europa.eu/eurostat/tgm/web/_download/Eurostat_Table_teicp000FlagDesc_87bb
6bcd-5ae3-4655-a2e3-1e6f8856b1b1.xls
0
1
2
3
-0.5
0
0.5
1
1.5
2
2.5
3
3.5
4
CASE Reports | No. 494 (2018)
26
Figure 12: Unemployment rate, EA economies, 2016‒2017 (in % of total labour force)
Source: IMF World Economic Outlook database, October 2017
Against such institutional settings, monetary policy can do little or nothing to
improve the employment situation in the countries that traditionally suffer from the highest
unemployment rates (Greece, Spain, Cyprus, Italy, Portugal, and France).
Concerning the national inflation rates measured in the Harmonised Index
of Consumer Prices (HICP) (Figure 11), their differentiation cannot be considered as very
strong (given the various sizes and structural characteristics of individual economies)
—from -0.4% in Cyprus (the only EA country with a negative inflation rate in 2017) to 3.8%
in Estonia and Lithuania. Nevertheless, these two Baltic countries may soon face signs
of overheating (IMF, 2017b).
Economic recovery and inflation
Figure 12: Unemployment rate, EA economies, 2016-2017 (in % of
total labour force)
Source: IMF World Economic Outlook database, October 2017
Against such institutional settings, monetary policy can do little or nothing to improve the
employment situation in the countries that traditionally suffer from the highest
unemployment rates (Greece, Spain, Cyprus, Italy, Portugal, and France).
Concerning the national inflation rates measured in the Harmonised Index of Consumer
Prices (HICP) (Figure 11), their differentiation cannot be considered as very strong (given
the various sizes and structural characteristics of individual economies)—from -0.4% in
Cyprus (the only EA country with a negative inflation rate in 2017) to 3.8% in Estonia and
Lithuania. Nevertheless, these two Baltic countries may soon face signs of overheating
(IMF, 2017b).
2.4. Looking ahead: review of short-to-medium-term economic
forecasts
According to the IMF medium-term forecast (IMF, 2017a), AE, including the EA and Japan,
reached their highest growth momentum in 2017; in the case of the US, it should happen
in 2018. That is, starting from 2018, the rate of growth in all AE, as well as in the EA,
should gradually decrease (Figure 1). This has been caused by closing the output gap
(Table 1; IMF, 2017b) and the supply-side constraints mentioned in Subsection 2.1.
In 2017, the output gap was still negative for the entire EA, amounting to approximately -
0.5% of GDP (Table 1). However, it will disappear in 2018, according to the same IMF
estimates. Looking at individual EA economies, in 2017, the output gap was positive only in
Estonia, Germany, Ireland, Luxembourg, Malta, Netherland, Slovakia, Slovenia, and Spain;
the other countries recorded a negative gap. In 2018, only Cyprus, Greece, France, Italy,
and Slovakia will record a negative gap, according to the same estimates.
0
5
10
15
20
25
2016
2017 (IMF staff estimates)
CASE Reports | No. 494 (2018)
27
2.4.  Looking ahead: review of short-to-medium-term
economic forecasts
According to the IMF medium-term forecast (IMF, 2017a), AE, including the EA and Japan,
reached their highest growth momentum in 2017; in the case of the US, it should happen
in 2018. That is, starting from 2018, the rate of growth in all AE, as well as in the EA,
should gradually decrease (Figure 1). This has been caused by closing the output gap
(Table 1; IMF, 2017b) and the supply-side constraints mentioned in Subsection 2.1.
In 2017, the output gap was still negative for the entire EA, amounting to approximately
‒0.5% of GDP (Table 1). However, it will disappear in 2018, according to the same IMF
estimates. Looking at individual EA economies, in 2017, the output gap was positive only in
Estonia, Germany, Ireland, Luxembourg, Malta, Netherland, Slovakia, Slovenia, and Spain;
the other countries recorded a negative gap. In 2018, only Cyprus, Greece, France, Italy,
and Slovakia will record a negative gap, according to the same estimates.
CASE Reports | No. 494 (2018)
28
Table 1:.Major advanced economies: output gap, 2015‒2018 (in % of potential GDP)
Note: the source does not contain output gap estimates for Latvia and Lithuania
Source: IMF World Economic Outlook database, October 2017
Despite the sceptical attitude of the author of this paper to practical estimates of out-
put gap (based, in most cases, on an extrapolation of past trends which does not neces-
sarily provide a true ex-ante picture of the period’s structural breaks and reforms—see
Dabrowski, 2015a), the trend presented in Table 1 suggests that it is not insufficient demand
that harms economic growth and that the room for both monetary and fiscal policies to boost
growth has been disappearing. If one wants to think about increasing growth potential
in a medium-to-long perspective, attention must be given to supply-side constraints, such
as relaxing demographic constraints in the labour force supply, increasing the investment
rate, and boosting productivity, which has stagnated since the mid-2000s (see Gordon,
2016, p. 602). However, the analysis of these constraints goes beyond the thematic
agenda of this paper.
Economy/ group of economies 2015 2016 2017 2018
Advanced economies ‒0.9 ‒0.8 ‒0.2 0.1
Japan ‒2.1 ‒1.8 ‒0.9 ‒0.7
US 0.0 ‒0.1 0.3 0.7
EA, of which ‒1.9 ‒1.3 ‒0.5 0.0
Austria ‒1.3 ‒1.0 ‒0.1 0.3
Belgium ‒0.5 ‒0.4 ‒0.1 0.2
Cyprus ‒5.6 ‒3.8 ‒1.7 ‒0.6
Estonia ‒0.1 ‒0.2 1.1 1.3
Finland ‒2.9 ‒1.7 ‒0.7 ‒0.2
France ‒2.4 ‒2.2 ‒1.8 ‒1.3
Germany 0.1 0.4 0.8 1.0
Greece ‒5.5 ‒4.9 ‒3.8 ‒2.0
Ireland ‒0.4 0.6 1.1 1.0
Italy ‒3.3 ‒2.7 ‒1.6 ‒1.0
Luxembourg 0.4 0.5 0.4 0.4
Malta 1.8 1.4 1.2 0.9
Netherlands ‒1.4 ‒0.9 0.4 1.2
Portugal ‒3.8 ‒2.6 ‒0.6 0.6
Slovakia 0.0 ‒0.2 0.0 ‒0.1
Slovenia ‒2.3 ‒0.9 1.0 1.5
Spain ‒4.5 ‒2.3 ‒0.7 0.3
CASE Reports | No. 494 (2018)
29
The World Economic Outlook Update published by the IMF in January (IMF, 2018)
offers more optimistic estimates (as compared to IMF, 2017a and Figure 1) of real GDP
growth for the three largest AE analysed in Subsection 2.1—2.3% for the US instead
of 2.1%, 1.8% for Japan instead of 1.5%, and 2.4% for the EA instead of 2.1%. Furthermore,
the growth forecast for 2018-2019 is also more optimistic as compared with the October
2017 forecast—by 0.4 and 0.6 percentage points (p.p.), respectively, for the US, by 0.5 and
0.1 p.p. for Japan, and by 0.3 and 0.3 p.p. for the EA.
The Winter 2018 (Interim) Forecast of the European Commission (2018) gives the same
growth estimate for the EA in 2017 as the IMF (2018)—that is, 2.4%, a slightly higher
forecast for 2018 (2.3%, while the IMF (2018) forecasts 2.2%), and 2.0% for 2019
(the same as that of the IMF, 2018). This means that both the US and the EA are at the
peak of the current business cycle and that they have already closed or are about to close
the output gap. Hence, the US Fed should continue its monetary policy tightening and
the ECB should also consider such a perspective.
The forecasts of other macroeconomic variables confirm this finding. The IMF World
Economic Outlook forecast of October 2017 (Figure 3) suggests the unemployment rate
will continue to decrease in the EA (though at slow pace), while it will stabilise at its low
level in the US and Japan. On the contrary, inflation will continue to rise (Figure 2).
The trend of increasing inflation (up to 1.8% in 2020) has also been predicted in the ECB
Survey of Professional Forecasters of January 20183
. However, the European Commission
(2018) offers a different perspective of inflation for 2018‒2019—namely, that it will stabilise
around 1.5-1.6%.
3  See: https://www.ecb.europa.eu/stats/ecb_surveys/survey_of_professional_forecasters/html/table_hist
_hicp.en.html
CASE Working Paper | No 1 (2015)
30
In this section, we will analyse the factors that have had an impact on the inflation
level since the beginning of the global financial crisis in 2007—namely, changes in financial
intermediation and monetary policy instruments, which led to a decline in the money
multiplier (Subsection 3.1), changes in money velocity (Subsection 3.2), and supply-side
shocks (Subsection 3.3). This will be followed by remarks related to the inflation meas-
urement problem or, more precisely, the imperfection of the CPI as an inflation measure
(Subsection 3.4).
3.1.  Decreasing money multiplier
The money multiplier is defined as the ratio between the broad money aggregate
(i.e. money created by commercial banks and non-banking financial institutions) and
the central bank’s base money (also called reserve money, the monetary base, or high-
-powered money). While there are various definitions of broad money, ranging from the sum
of cash in circulation, demand, and time deposits (M2) to broader aggregates which also in-
clude various quasi-money instruments (M3, M4, or M5)4
, this does not change the basic
characteristic of the money multiplication mechanism of a fractional-reserve banking
system.
A higher money multiplier increases the broad money created by a unit of the central
bank’s base money. On the contrary, a lower money multiplier decreases broad money,
other things being equal (see Dabrowski, 2015b).
Figure 13 shows that the money multiplier collapsed dramatically in the three major
currency areas since the beginning of the global financial crisis. Between 2007 and 2016,
4  These definitions vary between monetary jurisdictions. The ECB uses aggregates of M1 (the sum of currency in circulation
and overnight deposits), M2 (the sum of M1, deposits with an agreed maturity of up to two years, and deposits redeemable at
a notice of up to three months), and M3 (the sum of M2, repurchase agreements, money market fund shares/units, and debt
securities with a maturity of up to two years) – see http://www.ecb.europa.eu/stats/money/aggregates/aggr/html/
index.en.html. While the M1 represents “narrow” money, the M2 and M3 are two various measures of “broad” money.
3.  Factors having an impact
on inflation level
CASE Reports | No. 494 (2018)
31
it decreased from 14.3 to 4.9 in the US (during this period, in 2014‒2015, it reached
an even lower level of 4.0), from 10.8 to 3.0 in Japan, and from 8.0 to 4.5 in the EA.
There are various factors that contributed to such a decline.
First, the financial crisis damaged the entire process of financial intermediation for
several years. Banks, other financial institutions, non-financial enterprises, and households
had to repair their balance sheets, which made them cautious towards fresh borrowing and
lending. In particular, commercial banks followed a more “conservative” business model,
preferring to retain additional liquidity and capital margins (beyond what was required by
prudential standards—see below) rather than become engaged in risky lending.
Second, following the crisis, the regulatory environment for commercial banks and
non-banking financial institutions was seriously tightened. This concerned, among others,
increasing the capital adequacy ratio (CAR) and liquidity coverage ratio (LCR). In particular,
increasing the LCR has a similar (negative) effect on the money multiplier and broad
money creation as increasing the mandatory reserve requirement (MRR)—an instrument
rarely used by central banks in AE. Increasing the CAR can also suppress the money
multiplier at least in the short term until commercial banks supplement their capital.
The same concerns the fiscal instruments, such as taxes on banking transactions, which
were introduced in several countries.
CASE Reports | No. 494 (2018)
32
Figure 13: Money multiplier in the US, EA, and Japan, 2002‒2016 (broad money / base
money)
Source: IMF International Financial Statistics (www.data.imf.org) and author’s own
calculation
Economic recovery and inflation
23
the fiscal instruments, such as taxes on banking transactions, which were introduced in
several countries.
Figure 13: Money multiplier in the US, EA, and Japan, 2002-2016
(broad money / base money)
Source: IMF International Financial Statistics (www.data.imf.org) and author’s own
calculation
Figure 14: Central bank liabilities to other depository corporations,
the US, EA, and Japan, 2002-2016
Source: IMF International Financial Statistics (www.data.imf.org) and author’s own
calculation
3
5
7
9
11
13
15
200220032004200520062007200820092010201120122013201420152016
EA
Japan
US
0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
3,000,000
3,500,000
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
EA, EUR million
Japan, JPY hundreds million
US, USD million
CASE Reports | No. 494 (2018)
33
Figure 14: Central bank liabilities to other depository corporations, the US, EA, and Japan,
2002‒2016
Source: IMF International Financial Statistics (www.data.imf.org) and author’s own
calculation
Such conservative behaviour can explain the phenomenon of the large excess voluntary
reserves kept by commercial banks in central banks (Figure 14). In monetary policy terms,
this means a lower money multiplier as compared to when banks work at full lending
capacity (i.e. within the limits set by regulatory norms).
The third factor that could dampen the money multiplier is unconventional monetary
policy and the various central bank interventions on financial markets. For example,
providing additional lending opportunities to commercial banks and accepting their
deposits on a mass scale did not help in rebuilding the interbank market.
Furthermore, Figures 13 and 14 suggest that periods of rapid declines in the money
multiplier and rapid increases in commercial bank deposits in central banks coincided with
periods of quantitative easing (QE), while stopping or slowing down direct asset purchases
by central banks (e.g. by the Fed since the second half of 2013 and the ECB in 2012‒2013)
stabilised or even somewhat increased the money multiplier (and decreased banks
deposits with central banks). Probably, QE has absorbed so many low-risk liquid securities
from the financial market that commercial banks have had to increase their voluntary
23
Source: IMF International Financial Statistics (www.data.imf.org) and author’s own
calculation
Figure 14: Central bank liabilities to other depository corporations,
the US, EA, and Japan, 2002-2016
Source: IMF International Financial Statistics (www.data.imf.org) and author’s own
calculation
3
5
7
9
11
200220032004200520062007200820092010201120122013201420152016
Japan
US
0
500,000
1,000,000
1,500,000
2,000,000
2,500,000
3,000,000
3,500,000
2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
EA, EUR million
Japan, JPY hundreds million
US, USD million
CASE Reports | No. 494 (2018)
34
deposits in central banks to manage their liquidity. If this hypothesis is correct, it can mean
a sort of vicious circle where the instrument aimed at increasing the money supply has
the opposite effect.
Overall, in the crisis and post-crisis period, the decline in the money multiplier has been
a powerful deflationary factor in the three analysed AE. This single factor is sufficient
to explain the continuous low inflation environment in which these economies operate.
However, it is unlikely to expect a further decline in the money multiplier in the coming
years. Rather, as result of the gradual normalisation of monetary policy and the revival
of financial intermediation (once banks fully adjust to a new regulatory environment),
it can start to increase, as already observed in the US. Furthermore, one cannot exclude
that the successful pressure of the financial lobby, especially in the US, can lead to a partial
relaxation of the post-crisis regulatory corset.
3.2.  Decreasing money velocity
In parallel to the decreasing money multiplier (Subsection 3.2), broad money velocity
also decreased in the analysed currency areas (Figure 15). That is, demand for broad
money increased. However, the degree of change was not as large as in the case of the
money multiplier5
. Nevertheless, it also had a deflationary character.
Part of the increasing demand for broad money has come, most probably, from outside
(i.e. from non-residents), given the global role of all three currencies and the tendency
to more intensive currency substitution in other currency areas (especially in EMDE)
during the period of prolonged financial turmoil and associated macroeconomic uncer-
tainty. Another part of this increased demand can be explained by deleveraging and the
precautionary saving of residents at the time of the financial crisis and economic stagnation.
While it is hard to forecast broad money velocity in the future, one cannot exclude the
partial reversal of the trend observed in the last decade. This may be caused by an expected
normalisation of monetary policy and a revival in financial intermediation (see Subsection
3.1).
5  Obviously, taking into consideration changes in the money multiplier, demand for reserve money increased much
more.
CASE Reports | No. 494 (2018)
35
Figure 15: Broad money velocity in the US, EA, and Japan, 2002‒2016 (nominal GDP /
broad money)
Source: IMF International Financial Statistics (www.data.imf.org) and author’s own
calculation
3.3.  Supply-side shocks
In addition to the changes in money supply and demand for money caused by the de-
creasing money multiplier and decreasing money velocity, the analysed economies have also
had to deal with supply-side shocks, especially those originating from commodity markets.
That is, domestic inflation has been affected by the change in prices of imported energy,
food, and other commodities such as metals, minerals, and agriculture raw materials. Figure
16 shows that, in the analysed period, there were two periods of commodity price booms
(2003‒2008 and 2010‒2013) and two periods of price decline (2008‒2009 and 2014‒2016).
To be precise, fluctuations in commodity prices are influenced not only by supply-side
factors, but also by changes in global demand (this could be observed, in particular,
between 2007 and 2010). Nevertheless, for the individual economies, even large econo-
mies like those analysed in this paper, fluctuations in commodity prices can be considered
as external supply-side shocks.
Economic recovery and inflation
Figure 15: Broad money velocity in the US, EA, and Japan,
2002-2016 (nominal GDP / broad money)
!
Source: IMF International Financial Statistics (www.data.imf.org) and author’s own
calculation
3.3. Supply-side shocks
In addition to the changes in money supply and demand for money caused by the
decreasing money multiplier and decreasing money velocity, the analysed economies have
also had to deal with supply-side shocks, especially those originating from commodity
markets. That is, domestic inflation has been affected by the change in prices of imported
energy, food, and other commodities such as metals, minerals, and agriculture raw
materials. Figure 16 shows that, in the analysed period, there were two periods of
commodity price booms (2003-2008 and 2010-2013) and two periods of price decline
(2008-2009 and 2014-2016).
To be precise, fluctuations in commodity prices are influenced not only by supply-side
factors, but also by changes in global demand (this could be observed, in particular,
between 2007 and 2010). Nevertheless, for the individual economies, even large
economies like those analysed in this paper, fluctuations in commodity prices can be
considered as external supply-side shocks.
Figure 17 presents the impact of changes in energy prices on the EA’s HICP. The choice of
energy prices is justified by the fact that this is a largely imported item and, therefore,
independent from domestic demand-side factors.
A comparison of headline HICP with that in which changes in energy prices have been
deducted suggests that external supply-side shocks had an impact on EA inflation—positive
in 2008, 2010-2012, and 2017 and negative in 2009 and 2013-2016. The HICP without the
energy component presents less volatility than the headline inflation.
Looking ahead, it is important to notice that commodity prices, including energy, are on the
rise since 2017 and, most likely, this trend will continue, although at a moderate pace (IMF,
0,30
0,60
0,90
1,20
1,50
2002 20032004 20052006 20072008 20092010 20112012 2013 20142015 2016
EA
Japan
US
!27
CASE Reports | No. 494 (2018)
36
Figure 17 presents the impact of changes in energy prices on the EA’s HICP. The choice
of energy prices is justified by the fact that this is a largely imported item and, therefore,
independent from domestic demand-side factors.
A comparison of headline HICP with that in which changes in energy prices have been
deducted suggests that external supply-side shocks had an impact on EA inflation—positive
in 2008, 2010‒2012, and 2017 and negative in 2009 and 2013‒2016. The HICP without the
energy component presents less volatility than the headline inflation.
Looking ahead, it is important to notice that commodity prices, including energy, are on
the rise since 2017 and, most likely, this trend will continue, although at a moderate pace
(IMF, 2017a). This means that, in the near future, the external supply-side factors will, most
likely, push EA headline inflation up (the same can be expected in Japan and the US) rather
than moderate it.
Figure 16: Indexes of commodity prices, 2000‒2017 (2005=100)
Source: IMF World Economic Outlook database, October 2017
Figure 16: Indexes of commodity prices, 2000-2017 (2005=100)
Source: IMF World Economic Outlook database, October 2017
Figure 17: Inflation (HICP and HICP minus energy), annual average,
EA, 2008-2017 (in %)
30
60
90
120
150
180
210
240
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Crude Oil
Food and Beverage
Agricultural Raw Materials
Metals
3.3
1.6
2.7
2.5
1.3
1.5
2.6
1.3
1.0
1.7
1.9
1.4
0.7
0.9 0.9
1.2
1
1.5
2
2.5
3
3.5
HICP HICP minus energy
CASE Reports | No. 494 (2018)
37
Figure 17: Inflation (HICP and HICP minus energy), annual average, EA, 2008‒2017 (in %)
Source: Eurostat, http://ec.europa.eu/eurostat/tgm/web/_download/Eurostat_Table_teicp-
000FlagDesc_87bb6bcd-5ae3-4655-a2e3-1e6f8856b1b1.xls
3.4.  CPI and asset prices
Due to its composition limited to consumer goods and services, the CPI has never been
a perfect measure of inflation pressure. The latter is not always seen on the consumer
market. Quite often the excessive liquidity is absorbed, in particular, by asset markets
—the stock market, real estate markets, and commodity markets. This happened in Japan
in the 1980s and in the US in the second half of the 1990s and then again in 2003‒2007.
These episodes ended with bubbles bursting, which had negative consequences for
financial stability, especially when one led to the global financial crisis of 2007‒2009.
26
Source: IMF World Economic Outlook database, October 2017
Figure 17: Inflation (HICP and HICP minus energy), annual average,
EA, 2008-2017 (in %)
Source: Eurostat,
http://ec.europa.eu/eurostat/tgm/web/_download/Eurostat_Table_teicp000FlagDesc_87bb
6bcd-5ae3-4655-a2e3-1e6f8856b1b1.xls
3.4. CPI and asset prices
Due to its composition limited to consumer goods and services, the CPI has never been a
perfect measure of inflation pressure. The latter is not always seen on the consumer
market. Quite often the excessive liquidity is absorbed, in particular, by asset markets—the
stock market, real estate markets, and commodity markets. This happened in Japan in the
30
60
90
120
150
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
Crude Oil
Food and Beverage
Agricultural Raw Materials
Metals
3.3
0.3
1.6
2.7
2.5
1.3
0.4
0.0
0.2
1.5
2.6
1.3
1.0
1.7
1.9
1.4
0.7
0.9 0.9
1.2
0
0.5
1
1.5
2
2.5
3
3.5
2008 2009 2010 2011 2012 2013 2014 2015 2016 2017
HICP HICP minus energy
CASE Reports | No. 494 (2018)
38
Figure 18: The US stock market composite S&P index, 2004‒2017
Source: Online data Robert Shiller, http://www.econ.yale.edu/~shiller/data/ie_data.xls
Economic recovery and inflation
27
1980s and in the US in the second half of the 1990s and then again in 2003-2007. These
episodes ended with bubbles bursting, which had negative consequences for financial
stability, especially when one led to the global financial crisis of 2007-2009.
Figure 18: The US stock market composite S&P index, 2004-2017
Source: Online data Robert Shiller, http://www.econ.yale.edu/~shiller/data/ie_data.xls
Figure 19: The Boerse Frankfurt stock market index, 2004-2017
Source: Boerse Frankfurt, http://en.boerse-
frankfurt.de/index/pricehistory/DAX/1.1.2004_31.12.2017#History
500.00
1000.00
1500.00
2000.00
2500.00
3000.00
2004.01
2004.06
2004.11
2005.04
2005.09
2006.02
2006.07
2006.12
2007.05
2007.1
2008.03
2008.08
2009.01
2009.06
2009.11
2010.04
2010.09
2011.02
2011.07
2011.12
2012.05
2012.1
2013.03
2013.08
2014.01
2014.06
2014.11
2015.04
2015.09
2016.02
2016.07
2016.12
2017.05
2017.1
2,000
4,000
6,000
8,000
10,000
12,000
14,000
CASE Reports | No. 494 (2018)
39
Figure 19: The Boerse Frankfurt stock market index, 2004‒2017
Source: Boerse Frankfurt, http://en.boerse-frankfurt.de/index/pricehistory/DAX/1.1.2004_
31.12.2017#History
27
Source: Online data Robert Shiller, http://www.econ.yale.edu/~shiller/data/ie_data.xls
Figure 19: The Boerse Frankfurt stock market index, 2004-2017
Source: Boerse Frankfurt, http://en.boerse-
frankfurt.de/index/pricehistory/DAX/1.1.2004_31.12.2017#History
500.00
1000.00
1500.00
2004.01
2004.06
2004.11
2005.04
2005.09
2006.02
2006.07
2006.12
2007.05
2007.1
2008.03
2008.08
2009.01
2009.06
2009.11
2010.04
2010.09
2011.02
2011.07
2011.12
2012.05
2012.1
2013.03
2013.08
2014.01
2014.06
2014.11
2015.04
2015.09
2016.02
2016.07
2016.12
2017.05
2017.1
2,000
4,000
6,000
8,000
10,000
12,000
14,000
CASE Reports | No. 494 (2018)
40
Figure 20: The US Nominal Home Prices Index, 2000‒2018 (01.01.2000=100)
Source: Online data Robert Shiller, http://www.standardandpoors.com/indices/sp-case-
shiller-home-price-indices/en/us/?indexId=spusa-cashpidff--p-us----
Figure 20: The US Nominal Home Prices Index, 2000-2018
(01.01.2000=100)
Source: Online data Robert Shiller, http://www.standardandpoors.com/indices/sp-case-
shiller-home-price-indices/en/us/?indexId=spusa-cashpidff--p-us----
Figure 21: The Real Home Price Index, selected EA countries, 2000-
2016 (2015=100)
Source: Eurostat,
http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&plugin=1&language=en&pco
de=tipsho10
100
110
120
130
140
150
160
170
180
190
200
2000
2001
2001
2002
2002
2003
2004
2004
2005
2005
2006
2006
2007
2008
2008
2009
2009
2010
2011
2011
2012
2012
2013
2013
2014
2015
2015
2016
2016
2017
2018
50
60
70
80
90
100
110
120
130
140
150
160
170
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
Austria Belgium
Finland France
Germany Italy
Netherlands Spain
CASE Reports | No. 494 (2018)
41
Figure 21: The Real Home Price Index, selected EA countries, 2000-2016 (2015=100)
Source: Eurostat, http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&plugin=1&
language=en&pcode=tipsho10
The pros and cons of including asset prices into the price index were discussed
extensively in the literature in the 1990s and early 2000s (see e.g. Goodhart, 2001;
Bryan, Cecchetti, and O’Sullivan, 2002; Andersson, 2011), but with no implications for
statistical practice. Many central banks take into consideration changes in asset prices
in their monetary policy making6
, but a broader public concentrates its attention on
changes in CPI.
After the dramatic burst of bubbles in 2007-2008, the stock and real estate market
indices have gradually recovered to the previous level, which again can be considered as
dangerous for financial stability (Figures 18-21). Besides, they signal that actual inflationary
pressure in the US and EA is higher than suggested by the CPI measure.
6  For example, the ECB follows the stability-oriented two-pillar strategy based on economic and monetary analysis
(ECB 2011, p. 69-72). Apart from CPI inflation, it observes changes in monetary aggregates which allows for the
detection of potential credit or asset bubbles in their early stages (see Issing, 2003).
28
Source: Online data Robert Shiller, http://www.standardandpoors.com/indices/sp-case-
shiller-home-price-indices/en/us/?indexId=spusa-cashpidff--p-us----
Figure 21: The Real Home Price Index, selected EA countries, 2000-
2016 (2015=100)
Source: Eurostat,
http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&plugin=1&language=en&pco
de=tipsho10
100
110
120
130
140
150
2000
2001
2001
2002
2002
2003
2004
2004
2005
2005
2006
2006
2007
2008
2008
2009
2009
2010
2011
2011
2012
2012
2013
2013
2014
2015
2015
2016
2016
2017
2018
50
60
70
80
90
100
110
120
130
140
150
160
170
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
Austria Belgium
Finland France
Germany Italy
Netherlands Spain
CASE Working Paper | No 1 (2015)
42
Our analysis in the two previous sections suggests practical implications for monetary
policy making, which will be discussed below.
Let us start from the question of officially recorded inflation versus actual inflationary
pressure addressed in Subsection 3.4. The traditional concept of inflation measurement
based on CPI proved too narrow, especially in the era of the rapid development and increas-
ing sophistication of financial services. It misses price changes in asset markets, which can
absorb a large part of the changes in money supply and the resulting changes in domestic
demand. As result, it can mislead both policy makers and the general public by suggesting
low CPI inflation while inflationary pressures cumulate on asset markets. Such a dichotomy
was observed in AE several times in the past, and, in particular, in the period preceding the
global financial crisis of 2007-2009. A similar situation has been observed recently with
stock and real estate markets booming both in the US and EA.
This has two practical implications, the first for the right diagnosis of the current macro-
economic situation and the second for the methodology of price statistics.
As for the first implication, it is important to understand that actual inflation is higher
than that recorded by the CPI/HICP measure, precisely because of the parallel rapid in-
crease of asset prices. What the difference is between both (that is, the CPI/HICP and the
hypothetical broader index which would also include asset prices) is a matter of statistical
estimation going beyond the agenda of this paper7
. Nevertheless, ignoring this factor can
lead not only to wrong perceptions on the actual inflation but, more importantly, to wrong
policy conclusions, like continuing to fight a supposed danger of deflation which no longer
exists. In the extreme case, if the increase in asset prices is not given sufficient attention,
the AE can face another financial crisis with unforeseeable consequences.
Going beyond the current policy debate, central banks, statistical agencies, and the
academic community should return to work on constructing a broader price aggregate
which would also include asset prices. This is not an easy task, but one worth trying.
7  Bryan, Cecchetti, and O’Sullivan (2002) came to the conclusion that the US CPI in the 1990s might be underestimated by
roughly 0.25 p.p. annually due to a failure to include asset prices in the aggregate price statistics.
4.  Implications for monetary policy
CASE Reports | No. 494 (2018)
43
Of course, its successful completion does not mean abandoning the CPI, which will still
have an important role to play (not only in monetary policy making, but also in income and
social policies).
The right perception of the actual inflation pressure (including asset markets) is only the
first step in the right diagnosis of the current macroeconomic situation. Regardless of the
inflation measure used, it is clear that all major AE have finally emerged from the recession
and stagnation caused by the global financial crisis (see Section 2). Furthermore, except for
Japan, they have already closed or are about to close the output gap—that is, they are on
the top of the business cycle. In such a situation, monetary policy can do little or nothing
to further stimulate the growth of output and employment; rather, this is a task for micro-
economic and structural policies. On the contrary, it should avoid the risk of overheating,
especially in the US (where expansionary fiscal policy adds to macroeconomic expansion)
and in smaller EA economies. A related task concerns taking care of potential asset bubbles,
a high priority in the US and several parts of the EA (see Subsection 3.4).
A more general lesson concerns the weakening of the interlinks between inflation,
on the one hand, and output growth and unemployment, on the other, especially in the
post-crisis macroeconomic environment. One can see that low inflation can coexist with
growth and employment recovery, which puts under question the traditional Phillips
curve type of interdependence (see Subsection 2.2). At least a temporary lack of such
a relationship has been confirmed by the recent experience of many countries in Europe
and outside, in which periods of very low or even negative inflation coexisted with a solid
growth record. This concerns, among others, Ireland (2013‒2016), Slovakia (2013‒2016),
Slovenia (2014‒2016), Lithuania (2014‒2015), Germany (2014‒2015), Spain (2014‒2015),
Poland (2013‒2016), Romania (2014‒2016), Hungary (2013‒2015), Switzerland (2011‒2016),
Macedonia (2014‒2016), Israel (2014‒2017), and Singapore (2014‒2016).
Regarding the monetary and non-monetary factors that had an impact on the inflation
level in the analysed period of 2007‒2017, one should take into consideration changes
in money supply, demand for money, and external supply-side shocks. Both changes
in money supply (via a decreasing money multiplier) and changes in the demand
for broad money (an effect of decreasing money velocity) had a deflationary impact,
but with various strengths. The decrease in money velocity was moderate and so was
its impact on monetary conditions. On the contrary, the rapid and far-reaching collapse
in the money multiplier in all analysed currency areas had a profound impact on money
supply. It resulted from far-reaching financial deleveraging during both the crisis and post-
-crisis periods and was caused by the more conservative behaviour of both lenders and
borrowers and by the much tighter micro- and macro-prudential regulation of the financial
sector in the post-crisis area.
CASE Reports | No. 494 (2018)
44
A long-term lesson from this experience points to the interlinks between monetary
policy and financial regulation, which are often overlooked or even neglected by the
policy makers responsible for both areas (even if they are housed at the same institution
—the central bank), the academic community, and the general public.
Unconventional monetary policy aimed at overcoming the negative consequences
of the declining money multiplier for the money supply caused, in fact, its further decline
by discouraging financial intermediation and the absorption of low-risk financial assets. This
hypothesis requires, however, further empirical examination.
The external supply-side shocks—mainly changes in imported commodity prices
(Section 3.3)—also had impact on inflation. In the analysed period, they worked in various
directions. In the EA, they pushed up the headline HICP inflation in 2008, 2010‒2012,
and 2017, while they pushed it down in 2009 and 2013-2016. In the near future, they will
add to inflation pressure rather than moderate it.
The coincidence of several deflationary factors, in particular those related to profound
changes in financial intermediation, put downward pressure on inflation. However, such
a pressure will not last forever (which is already seen in the US). Even if we assume that
the financial sector learned lessons from the financial crisis of 2007-2009 and will continue
to follow more conservative market practices (this does not necessarily have to be true)
and that the new more restrictive financial regulations remain in place for a long period
of time (there is also no political guarantee for this), financial deleveraging and disinter-
mediation will not progress further. That is, the money multiplier will not continue to de-
cline. Instead, there is the probability that it will recover somewhat following the adjust-
ment of the financial sector to a new regulatory environment, the heightened interest of
market participants to lend and borrow as result of their optimistic assessment of business
perspectives, and central banks’ withdrawal from unconventional monetary policy
measures.
The same concerns money velocity, which may increase as result of economic recovery
and external price shocks, which will be positive rather than negative in the near term.
Given all the above-analysed circumstances, central banks should not continue push-
ing inflation up to the officially-targeted level. There is nothing wrong if inflation remains
below 2% (the level targeted by central banks in all three analysed currency areas), so
long as the economy is growing and a country’s negative output gap is disappearing. In-
stead, central banks should reflect on how to resist the forthcoming inflationary pressures,
avoiding the further building of asset bubbles (one of the consequences of low interest
rates) and overheating their economies.
CASE Reports | No. 494 (2018)
45
The so-called normalisation of monetary policies—that is, the termination of QE
(in the EA and Japan)—followed by a gradual reduction of central bank balance sheets
and a gradual increase of interest rates seems to be the inevitable outlook in all AE.
It will not be an easy process because of its potential consequences for financial markets
(changes in the profile of yield curve) and governments (pushing up the price of government
securities), but this is the reason to start normalisation sooner rather than later.
CASE Working Paper | No 1 (2015)
46
Our analysis has demonstrated that the period of low inflation and the various
deflationary pressures will, most likely, come to an end soon. These deflationary pressures
originated from the powerful shock generated by the global financial crisis of 2007‒2009
and the turbulence that followed—for example, the public debt and banking crisis
in some parts of the EA (2010‒2014). The most powerful deflationary shock came from the
collapse of financial intermediation and the far-reaching financial deleveraging in most AE.
In monetary terms, this led to the decline of money multiplier in all major currency areas.
However, the post-crisis policy reactions made the situation worse. First, to prevent
similar crises in future, financial regulations were seriously tightened, which made financial
intermediation more expensive and forced banks and non-banking financial institutions
to limit their operations (at least temporarily) to meet the new prudential standards
(Dabrowski, 2015b). Regretfully, this deflationary side effect of the new regulatory
regime was rarely understood and recognised by those who were in charge of setting
the new standards and the timetable of their adoption. We do not question the necessity
of conducting a deep overhaul of financial regulation and the political economy rationale
of using the window of opportunity for such reforms, just the aftermath of the financial
crisis. However, in some cases, setting longer timetables for the adoption of new standards
could soften their deflationary impact.
Second, concerning monetary policy, central banks had to compensate for the decline
in the money multiplier with the rapid expansion of their reserve money (monetary bases)
to avoid a deflationary spiral and a deep depression of the kind experienced in 1929‒1933.
In the environment where interest rates had already hit the zero-level bound and
commercial banks were reluctant to expand their credit actions, the only reliable solution was
direct purchases of government and commercial securities on the secondary market (QE).
This strategy proved effective and the goal of avoiding a deflationary spiral was
accomplished. However, it produced several side effects, some of them rather unexpect-
ed and definitely undesirable. These side effects included further discouraging financial
intermediation and a further decline in the money multiplier.
5. 	Summary and conclusions
CASE Reports | No. 494 (2018)
47
While the rationale of QE cannot be questioned, it came too late in the EA and
Japan and has continued for too long. The US Fed, which began tapering its QE in the
last quarter of 2013 and then started to hike interest rates, finally declaring its willingness
to gradually reduce its balance sheets, still has a long way to go to normalise its monetary
policy. The ECB and the Bank of Japan are even further from this perspective.
Other deflationary factors such as the decreasing money velocity and the collapse of
commodity prices in 2014‒2015 must be mentioned; although, their impact was smaller
than that of the decline in the money multiplier.
However, in 2016‒2017, economic and monetary conditions started to change: most
AE, including the EA, entered a path of economic growth and have either already closed
or are about to close the negative output gap. There are signs of rising inflationary
pressures, in particular, on asset markets. The post-crisis deflationary factors are gradually
disappearing. Commodity prices have started to increase again, although moderately.
The money multiplier and money velocity are unlikely to continue their decline and may
start recovering soon, reflecting greater consumer and investment optimism and faster
credit growth (on the back of higher growth).
This means that major central banks, including the ECB, should prepare themselves to
deal with potential inflationary pressures, which were largely absent in the last decade, and
intensify their work on departing from unconventional monetary policy measures.
CASE Working Paper | No 1 (2015)
48
Andersson, Fredrik NG (2011): “Monetary Policy, Asset Price Inflation and Consumer Price
Inflation”. Economics Bulletin, Vol. 31, Issue 1, January. Available at https://www.research-
gate.net/publication/227410450_Monetary_Policy_Asset_Price_Inflation_and_Consum-
er_Price_Inflation
Armstrong, Shiro, and Tatsuyoshi Okimoto (2016): “Fiscal Sustainability in Japan”. Asia and
the Pacific Policy Studies, vol. 3, no. 2, pp. 235–243, May. Available at http://onlinelibrary.
wiley.com/doi/10.1002/app5.133/epdf
Bryan, Michael F., Stephen G. Cecchetti, and Roisin O’Sullivan (2002): “Asset Prices
in the Measurement of Inflation”. NBER Working Paper, No. 8700, January. Available at
http://www.nber.org/papers/w8700.pdf
Dabrowski, Marek (2010): “The Global Financial Crisis: Lessons for European Integration”.
Economic Systems, Vol. 34 (2010), Issue 1, pp. 38–54. Available at http://www.science-
direct.com/science/article/pii/S093936251000004X/pdfft?md5=64da8ecccd7f0b30feba-
d2a70d60c3cd&pid=1-s2.0-S093936251000004X-main.pdf
Dabrowski, Marek (2015a). “Monetary Union and Fiscal and Macroeconomic Governance”.
European Economy Discussion Papers, No. 13/2015, September. Available at http://ec.eu-
ropa.eu/economy_finance/publications/eedp/pdf/dp013_en.pdf
Dabrowski, Marek (2015b): “Interaction between monetary policy and bank regulation.
In-depth analysis”. Briefing paper prepared for the European Parliament’s Committee on
Economic and Monetary Affairs (Monetary Dialogue), IP/A/ECON/2015-07, September.
Available at http://www.europarl.europa.eu/cmsdata/105462/IPOL_IDA(2015)563458_
EN.pdf
ECB (2011): “The Monetary Policy of the ECB”. European Central Bank. Available at
https://www.ecb.europa.eu/pub/pdf/other/monetarypolicy2011en.pdf?806851948a-
caa66136356457a4641a6c
European Commission (2018): “European Economic Forecast Winter 2018 (Interim)”. Euro-
pean Economy – Institutional Paper, No. 073, February 7. European Commission. Available
at https://ec.europa.eu/info/sites/info/files/economy-finance/ip073_en.pdf
Goodhart, Charles (2001): “What Weight Should be Given to Asset Prices in the
Measurement of Inflation?”. The Economic Journal, Vol. 111 (472), pp. 335–356. Available
at http://onlinelibrary.wiley.com/doi/10.1111/1468-0297.00634/pdf
References
CASE Reports | No. 494 (2018)
49
Gordon, Robert J. (2016): “The Rise and Fall of American Growth. The US Standard of Living
Since the Civil War”. Princeton and Oxford: Oxford University Press
IMF (2017a): “World Economic Outlook: Seeking Sustainable Growth: Short-Term
Recovery, Long-Term Challenges”. October 2017. Washington, DC: International Monetary
Fund. Available at http://www.imf.org/~/media/Files/Publications/WEO/2017/October/
pdf/main-chapter/text.ashx?la=en
IMF (2017b): “Europe: Europe Hitting Its Stride”, Regional Economic Outlook, November,
Washington, DC: International Monetary Fund. Available at http://www.imf.org/~/media/
Files/Publications/REO/EUR/2017/November/eur-booked-print.ashx?la=en
IMF (2018): “World Economic Outlook Update: Brighter Prospects, Optimistic Markets,
Challenges Ahead”. January 2018. Washington, DC: International Monetary Fund. Available
at http://www.imf.org/~/media/Files/Publications/WEO/2018/Update/January/0118.ashx
Issing, Otmar (2003): “Monetary and Financial Stability: Is there a Trade-off?”, speech
at the European Central Bank Conference on “Monetary Stability, Financial Stability and
the Business Cycle”, March 28-29, Bank for International Settlements, Basle. Available at
https://www.ecb.europa.eu/press/key/date/2003/html/sp030329.en.html
Ito, Takatoshi, and Frederic S. Mishkin (2004): “Two Decades of Japanese Monetary
Policy and the Deflation Problem”. NBER Working Paper, No. 10878., November. Available
at http://www.nber.org/papers/w10878.pdf
Krugman, Paul (1998): “Japan’s Trap”, mimeo, May. Available at http://web.mit.edu/krug-
man/www/japtrap.html
Murphy, R. Taggart (2016): “Rethinking Japan’s Deflation Trap: On the Failure to Reach
Kuroda Haruhiko’s 2% Inflation Target”. The Asia-Pacific Journal, Vol. 14, Issue 3, No. 4,
February 1. Available at http://apjjf.org/2016/03/Murphy.html
Roach, Stephen S. (2017): “Another Lesson from Japan”. Project Syndicate, 26 June 2017.
Available at https://www.project-syndicate.org/commentary/advanced-economies-low-in-
flation-weak-demand-by-stephen-s--roach-2017-06

More Related Content

What's hot

The Euro Area Crisis - 99 Q & A - June 29, 2012
The Euro Area Crisis - 99 Q & A - June 29, 2012The Euro Area Crisis - 99 Q & A - June 29, 2012
The Euro Area Crisis - 99 Q & A - June 29, 2012Swedbank
 
Zimbabwe's 2019 Monetary Policy Statement
Zimbabwe's 2019 Monetary Policy Statement Zimbabwe's 2019 Monetary Policy Statement
Zimbabwe's 2019 Monetary Policy Statement Povo News
 
Prediction of economical recession with the signal approach, and the turkey case
Prediction of economical recession with the signal approach, and the turkey casePrediction of economical recession with the signal approach, and the turkey case
Prediction of economical recession with the signal approach, and the turkey caseDeniz Özgür Tiryaki
 
Programa de estabilidad
Programa de estabilidadPrograma de estabilidad
Programa de estabilidadManfredNolte
 
1_CITY_OF_TAMPA_2006_profile_entire_document_final
1_CITY_OF_TAMPA_2006_profile_entire_document_final1_CITY_OF_TAMPA_2006_profile_entire_document_final
1_CITY_OF_TAMPA_2006_profile_entire_document_finalJennifer Schroeder
 
Effective hydrocarbon management 2009
Effective hydrocarbon management 2009Effective hydrocarbon management 2009
Effective hydrocarbon management 2009Christina Parmionova
 
World Bank: Global Commodity Market Outlook report 2017
World Bank: Global Commodity Market Outlook report 2017World Bank: Global Commodity Market Outlook report 2017
World Bank: Global Commodity Market Outlook report 2017Energy for One World
 
Economic Assessment Report for the NY SGEIS
Economic Assessment Report for the NY SGEISEconomic Assessment Report for the NY SGEIS
Economic Assessment Report for the NY SGEISMarcellus Drilling News
 
IanScott_MSc_Dissertation
IanScott_MSc_DissertationIanScott_MSc_Dissertation
IanScott_MSc_DissertationIan Scott
 
Hazard mitigation plan
Hazard mitigation planHazard mitigation plan
Hazard mitigation planzaffar abbasi
 
Organizational Forms Design
Organizational Forms DesignOrganizational Forms Design
Organizational Forms DesignSally Wright Day
 
World bank africa and covid 9781464815683
World bank africa and covid 9781464815683World bank africa and covid 9781464815683
World bank africa and covid 9781464815683Abdurahman Mohammed
 
Economic indicators
Economic indicatorsEconomic indicators
Economic indicatorsKrik Jiang
 

What's hot (20)

Virtual currencies and their potential impact on financial markets and moneta...
Virtual currencies and their potential impact on financial markets and moneta...Virtual currencies and their potential impact on financial markets and moneta...
Virtual currencies and their potential impact on financial markets and moneta...
 
The Euro Area Crisis - 99 Q & A - June 29, 2012
The Euro Area Crisis - 99 Q & A - June 29, 2012The Euro Area Crisis - 99 Q & A - June 29, 2012
The Euro Area Crisis - 99 Q & A - June 29, 2012
 
2016 OECD Business and Finance Scoreboard
2016 OECD Business and Finance Scoreboard2016 OECD Business and Finance Scoreboard
2016 OECD Business and Finance Scoreboard
 
Zimbabwe's 2019 Monetary Policy Statement
Zimbabwe's 2019 Monetary Policy Statement Zimbabwe's 2019 Monetary Policy Statement
Zimbabwe's 2019 Monetary Policy Statement
 
Prediction of economical recession with the signal approach, and the turkey case
Prediction of economical recession with the signal approach, and the turkey casePrediction of economical recession with the signal approach, and the turkey case
Prediction of economical recession with the signal approach, and the turkey case
 
Programa de estabilidad
Programa de estabilidadPrograma de estabilidad
Programa de estabilidad
 
1_CITY_OF_TAMPA_2006_profile_entire_document_final
1_CITY_OF_TAMPA_2006_profile_entire_document_final1_CITY_OF_TAMPA_2006_profile_entire_document_final
1_CITY_OF_TAMPA_2006_profile_entire_document_final
 
Effective hydrocarbon management 2009
Effective hydrocarbon management 2009Effective hydrocarbon management 2009
Effective hydrocarbon management 2009
 
Bma
BmaBma
Bma
 
World Bank: Global Commodity Market Outlook report 2017
World Bank: Global Commodity Market Outlook report 2017World Bank: Global Commodity Market Outlook report 2017
World Bank: Global Commodity Market Outlook report 2017
 
DE0007507501-Q3-2014-EQ-E-00
DE0007507501-Q3-2014-EQ-E-00DE0007507501-Q3-2014-EQ-E-00
DE0007507501-Q3-2014-EQ-E-00
 
Economic Assessment Report for the NY SGEIS
Economic Assessment Report for the NY SGEISEconomic Assessment Report for the NY SGEIS
Economic Assessment Report for the NY SGEIS
 
IanScott_MSc_Dissertation
IanScott_MSc_DissertationIanScott_MSc_Dissertation
IanScott_MSc_Dissertation
 
UNCTAD - The Financial & Economic Crisis of 2008-2009 & Developing Countries
UNCTAD - The Financial & Economic Crisis of 2008-2009 & Developing CountriesUNCTAD - The Financial & Economic Crisis of 2008-2009 & Developing Countries
UNCTAD - The Financial & Economic Crisis of 2008-2009 & Developing Countries
 
Economic and-social-review-2012
Economic and-social-review-2012Economic and-social-review-2012
Economic and-social-review-2012
 
Hazard mitigation plan
Hazard mitigation planHazard mitigation plan
Hazard mitigation plan
 
CASE Network Report 40 - The Episodes of Currency Crises in the European Tran...
CASE Network Report 40 - The Episodes of Currency Crises in the European Tran...CASE Network Report 40 - The Episodes of Currency Crises in the European Tran...
CASE Network Report 40 - The Episodes of Currency Crises in the European Tran...
 
Organizational Forms Design
Organizational Forms DesignOrganizational Forms Design
Organizational Forms Design
 
World bank africa and covid 9781464815683
World bank africa and covid 9781464815683World bank africa and covid 9781464815683
World bank africa and covid 9781464815683
 
Economic indicators
Economic indicatorsEconomic indicators
Economic indicators
 

Similar to Economic recovery and inflation

Sample Europe Scrunchies Market Report 2022 - Cognitive Market Research.docx
Sample Europe Scrunchies Market Report 2022 - Cognitive Market Research.docxSample Europe Scrunchies Market Report 2022 - Cognitive Market Research.docx
Sample Europe Scrunchies Market Report 2022 - Cognitive Market Research.docxCognitive Market Research
 
World Employment and Social Outloock
World Employment and Social OutloockWorld Employment and Social Outloock
World Employment and Social OutloockYsrrael Camero
 
201312 World of work Report. Repariring the Economic and Social Fabric
201312 World of work Report.  Repariring the Economic and Social Fabric201312 World of work Report.  Repariring the Economic and Social Fabric
201312 World of work Report. Repariring the Economic and Social FabricFrancisco Calzado
 
Sample Global Capo Market Report 2022 - Cognitive Market Research.docx
Sample Global Capo Market Report 2022 - Cognitive Market Research.docxSample Global Capo Market Report 2022 - Cognitive Market Research.docx
Sample Global Capo Market Report 2022 - Cognitive Market Research.docxCognitive Market Research
 
201312 World of Work Report - Repariring the Economic and Social Fabric
201312 World of Work Report - Repariring the Economic and Social Fabric201312 World of Work Report - Repariring the Economic and Social Fabric
201312 World of Work Report - Repariring the Economic and Social FabricFrancisco Calzado
 
Informe de la calidad del empleo 2013 de la oit
Informe de la calidad del empleo 2013 de la oitInforme de la calidad del empleo 2013 de la oit
Informe de la calidad del empleo 2013 de la oitSusana MIño Cedeño
 
The Global Employment Trends for Youth 2012
The Global Employment Trends for Youth 2012The Global Employment Trends for Youth 2012
The Global Employment Trends for Youth 2012Dr Lendy Spires
 

Similar to Economic recovery and inflation (20)

Christos_Vassis_2011
Christos_Vassis_2011Christos_Vassis_2011
Christos_Vassis_2011
 
Social harmonization and labor market performance in europe
Social harmonization and labor market performance in europeSocial harmonization and labor market performance in europe
Social harmonization and labor market performance in europe
 
Interaction between monetary policy and bank regulation: lessons for the ECB
Interaction between monetary policy and bank regulation: lessons for the ECBInteraction between monetary policy and bank regulation: lessons for the ECB
Interaction between monetary policy and bank regulation: lessons for the ECB
 
CASE Network Report 72 - Bosnia and Herzegovina - Meeting Copenhagen economic...
CASE Network Report 72 - Bosnia and Herzegovina - Meeting Copenhagen economic...CASE Network Report 72 - Bosnia and Herzegovina - Meeting Copenhagen economic...
CASE Network Report 72 - Bosnia and Herzegovina - Meeting Copenhagen economic...
 
Sample Europe Scrunchies Market Report 2022 - Cognitive Market Research.docx
Sample Europe Scrunchies Market Report 2022 - Cognitive Market Research.docxSample Europe Scrunchies Market Report 2022 - Cognitive Market Research.docx
Sample Europe Scrunchies Market Report 2022 - Cognitive Market Research.docx
 
Sample Europe Scrunchies Market
Sample Europe Scrunchies Market Sample Europe Scrunchies Market
Sample Europe Scrunchies Market
 
Trends 2015
Trends 2015Trends 2015
Trends 2015
 
CASE Network Studies and Analyses 465 - Costs and Benefits of Labour Mobility...
CASE Network Studies and Analyses 465 - Costs and Benefits of Labour Mobility...CASE Network Studies and Analyses 465 - Costs and Benefits of Labour Mobility...
CASE Network Studies and Analyses 465 - Costs and Benefits of Labour Mobility...
 
World Employment and Social Outloock
World Employment and Social OutloockWorld Employment and Social Outloock
World Employment and Social Outloock
 
CASE Network Report 44 - Restructuring and Development of the Banking Sector ...
CASE Network Report 44 - Restructuring and Development of the Banking Sector ...CASE Network Report 44 - Restructuring and Development of the Banking Sector ...
CASE Network Report 44 - Restructuring and Development of the Banking Sector ...
 
CASE Network Report 100 - The Impact of the Global Financial Crisis on Public...
CASE Network Report 100 - The Impact of the Global Financial Crisis on Public...CASE Network Report 100 - The Impact of the Global Financial Crisis on Public...
CASE Network Report 100 - The Impact of the Global Financial Crisis on Public...
 
Increasing the International Role of the Euro: A Long Way to Go
Increasing the International Role of the Euro: A Long Way to GoIncreasing the International Role of the Euro: A Long Way to Go
Increasing the International Role of the Euro: A Long Way to Go
 
CASE Network Studies and Analyses 284 - Differences in productivity and its d...
CASE Network Studies and Analyses 284 - Differences in productivity and its d...CASE Network Studies and Analyses 284 - Differences in productivity and its d...
CASE Network Studies and Analyses 284 - Differences in productivity and its d...
 
Study and Reports on the VAT Gap in the EU-28 Member States: 2020 Final Report
Study and Reports on the VAT Gap in the EU-28 Member States: 2020 Final ReportStudy and Reports on the VAT Gap in the EU-28 Member States: 2020 Final Report
Study and Reports on the VAT Gap in the EU-28 Member States: 2020 Final Report
 
201312 World of work Report. Repariring the Economic and Social Fabric
201312 World of work Report.  Repariring the Economic and Social Fabric201312 World of work Report.  Repariring the Economic and Social Fabric
201312 World of work Report. Repariring the Economic and Social Fabric
 
Sample Global Capo Market Report 2022 - Cognitive Market Research.docx
Sample Global Capo Market Report 2022 - Cognitive Market Research.docxSample Global Capo Market Report 2022 - Cognitive Market Research.docx
Sample Global Capo Market Report 2022 - Cognitive Market Research.docx
 
201312 World of Work Report - Repariring the Economic and Social Fabric
201312 World of Work Report - Repariring the Economic and Social Fabric201312 World of Work Report - Repariring the Economic and Social Fabric
201312 World of Work Report - Repariring the Economic and Social Fabric
 
Informe de la calidad del empleo 2013 de la oit
Informe de la calidad del empleo 2013 de la oitInforme de la calidad del empleo 2013 de la oit
Informe de la calidad del empleo 2013 de la oit
 
The Global Employment Trends for Youth 2012
The Global Employment Trends for Youth 2012The Global Employment Trends for Youth 2012
The Global Employment Trends for Youth 2012
 
CASE Network Studies and Analyses 471 - Macroeconomic and fiscal challenges f...
CASE Network Studies and Analyses 471 - Macroeconomic and fiscal challenges f...CASE Network Studies and Analyses 471 - Macroeconomic and fiscal challenges f...
CASE Network Studies and Analyses 471 - Macroeconomic and fiscal challenges f...
 

Recently uploaded

Call Girls Service Nagpur Maya Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Maya Call 7001035870 Meet With Nagpur EscortsCall Girls Service Nagpur Maya Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Maya Call 7001035870 Meet With Nagpur Escortsranjana rawat
 
Unveiling the Top Chartered Accountants in India and Their Staggering Net Worth
Unveiling the Top Chartered Accountants in India and Their Staggering Net WorthUnveiling the Top Chartered Accountants in India and Their Staggering Net Worth
Unveiling the Top Chartered Accountants in India and Their Staggering Net WorthShaheen Kumar
 
BPPG response - Options for Defined Benefit schemes - 19Apr24.pdf
BPPG response - Options for Defined Benefit schemes - 19Apr24.pdfBPPG response - Options for Defined Benefit schemes - 19Apr24.pdf
BPPG response - Options for Defined Benefit schemes - 19Apr24.pdfHenry Tapper
 
Bladex Earnings Call Presentation 1Q2024
Bladex Earnings Call Presentation 1Q2024Bladex Earnings Call Presentation 1Q2024
Bladex Earnings Call Presentation 1Q2024Bladex
 
government_intervention_in_business_ownership[1].pdf
government_intervention_in_business_ownership[1].pdfgovernment_intervention_in_business_ownership[1].pdf
government_intervention_in_business_ownership[1].pdfshaunmashale756
 
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service AizawlVip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawlmakika9823
 
fca-bsps-decision-letter-redacted (1).pdf
fca-bsps-decision-letter-redacted (1).pdffca-bsps-decision-letter-redacted (1).pdf
fca-bsps-decision-letter-redacted (1).pdfHenry Tapper
 
Quantitative Analysis of Retail Sector Companies
Quantitative Analysis of Retail Sector CompaniesQuantitative Analysis of Retail Sector Companies
Quantitative Analysis of Retail Sector Companiesprashantbhati354
 
VIP Kolkata Call Girl Jodhpur Park 👉 8250192130 Available With Room
VIP Kolkata Call Girl Jodhpur Park 👉 8250192130  Available With RoomVIP Kolkata Call Girl Jodhpur Park 👉 8250192130  Available With Room
VIP Kolkata Call Girl Jodhpur Park 👉 8250192130 Available With Roomdivyansh0kumar0
 
Classical Theory of Macroeconomics by Adam Smith
Classical Theory of Macroeconomics by Adam SmithClassical Theory of Macroeconomics by Adam Smith
Classical Theory of Macroeconomics by Adam SmithAdamYassin2
 
VIP High Class Call Girls Saharanpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Saharanpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Saharanpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Saharanpur Anushka 8250192130 Independent Escort Se...Suhani Kapoor
 
OAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptx
OAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptxOAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptx
OAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptxhiddenlevers
 
VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...
VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...
VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...Suhani Kapoor
 
Instant Issue Debit Cards - High School Spirit
Instant Issue Debit Cards - High School SpiritInstant Issue Debit Cards - High School Spirit
Instant Issue Debit Cards - High School Spiritegoetzinger
 
letter-from-the-chair-to-the-fca-relating-to-british-steel-pensions-scheme-15...
letter-from-the-chair-to-the-fca-relating-to-british-steel-pensions-scheme-15...letter-from-the-chair-to-the-fca-relating-to-british-steel-pensions-scheme-15...
letter-from-the-chair-to-the-fca-relating-to-british-steel-pensions-scheme-15...Henry Tapper
 
Independent Lucknow Call Girls 8923113531WhatsApp Lucknow Call Girls make you...
Independent Lucknow Call Girls 8923113531WhatsApp Lucknow Call Girls make you...Independent Lucknow Call Girls 8923113531WhatsApp Lucknow Call Girls make you...
Independent Lucknow Call Girls 8923113531WhatsApp Lucknow Call Girls make you...makika9823
 
Interimreport1 January–31 March2024 Elo Mutual Pension Insurance Company
Interimreport1 January–31 March2024 Elo Mutual Pension Insurance CompanyInterimreport1 January–31 March2024 Elo Mutual Pension Insurance Company
Interimreport1 January–31 March2024 Elo Mutual Pension Insurance CompanyTyöeläkeyhtiö Elo
 
House of Commons ; CDC schemes overview document
House of Commons ; CDC schemes overview documentHouse of Commons ; CDC schemes overview document
House of Commons ; CDC schemes overview documentHenry Tapper
 

Recently uploaded (20)

Call Girls Service Nagpur Maya Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Maya Call 7001035870 Meet With Nagpur EscortsCall Girls Service Nagpur Maya Call 7001035870 Meet With Nagpur Escorts
Call Girls Service Nagpur Maya Call 7001035870 Meet With Nagpur Escorts
 
Unveiling the Top Chartered Accountants in India and Their Staggering Net Worth
Unveiling the Top Chartered Accountants in India and Their Staggering Net WorthUnveiling the Top Chartered Accountants in India and Their Staggering Net Worth
Unveiling the Top Chartered Accountants in India and Their Staggering Net Worth
 
BPPG response - Options for Defined Benefit schemes - 19Apr24.pdf
BPPG response - Options for Defined Benefit schemes - 19Apr24.pdfBPPG response - Options for Defined Benefit schemes - 19Apr24.pdf
BPPG response - Options for Defined Benefit schemes - 19Apr24.pdf
 
Bladex Earnings Call Presentation 1Q2024
Bladex Earnings Call Presentation 1Q2024Bladex Earnings Call Presentation 1Q2024
Bladex Earnings Call Presentation 1Q2024
 
government_intervention_in_business_ownership[1].pdf
government_intervention_in_business_ownership[1].pdfgovernment_intervention_in_business_ownership[1].pdf
government_intervention_in_business_ownership[1].pdf
 
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service AizawlVip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
Vip B Aizawl Call Girls #9907093804 Contact Number Escorts Service Aizawl
 
fca-bsps-decision-letter-redacted (1).pdf
fca-bsps-decision-letter-redacted (1).pdffca-bsps-decision-letter-redacted (1).pdf
fca-bsps-decision-letter-redacted (1).pdf
 
Monthly Economic Monitoring of Ukraine No 231, April 2024
Monthly Economic Monitoring of Ukraine No 231, April 2024Monthly Economic Monitoring of Ukraine No 231, April 2024
Monthly Economic Monitoring of Ukraine No 231, April 2024
 
Quantitative Analysis of Retail Sector Companies
Quantitative Analysis of Retail Sector CompaniesQuantitative Analysis of Retail Sector Companies
Quantitative Analysis of Retail Sector Companies
 
VIP Kolkata Call Girl Jodhpur Park 👉 8250192130 Available With Room
VIP Kolkata Call Girl Jodhpur Park 👉 8250192130  Available With RoomVIP Kolkata Call Girl Jodhpur Park 👉 8250192130  Available With Room
VIP Kolkata Call Girl Jodhpur Park 👉 8250192130 Available With Room
 
Classical Theory of Macroeconomics by Adam Smith
Classical Theory of Macroeconomics by Adam SmithClassical Theory of Macroeconomics by Adam Smith
Classical Theory of Macroeconomics by Adam Smith
 
VIP High Class Call Girls Saharanpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Saharanpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Saharanpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Saharanpur Anushka 8250192130 Independent Escort Se...
 
OAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptx
OAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptxOAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptx
OAT_RI_Ep19 WeighingTheRisks_Apr24_TheYellowMetal.pptx
 
VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...
VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...
VIP Call Girls LB Nagar ( Hyderabad ) Phone 8250192130 | ₹5k To 25k With Room...
 
🔝+919953056974 🔝young Delhi Escort service Pusa Road
🔝+919953056974 🔝young Delhi Escort service Pusa Road🔝+919953056974 🔝young Delhi Escort service Pusa Road
🔝+919953056974 🔝young Delhi Escort service Pusa Road
 
Instant Issue Debit Cards - High School Spirit
Instant Issue Debit Cards - High School SpiritInstant Issue Debit Cards - High School Spirit
Instant Issue Debit Cards - High School Spirit
 
letter-from-the-chair-to-the-fca-relating-to-british-steel-pensions-scheme-15...
letter-from-the-chair-to-the-fca-relating-to-british-steel-pensions-scheme-15...letter-from-the-chair-to-the-fca-relating-to-british-steel-pensions-scheme-15...
letter-from-the-chair-to-the-fca-relating-to-british-steel-pensions-scheme-15...
 
Independent Lucknow Call Girls 8923113531WhatsApp Lucknow Call Girls make you...
Independent Lucknow Call Girls 8923113531WhatsApp Lucknow Call Girls make you...Independent Lucknow Call Girls 8923113531WhatsApp Lucknow Call Girls make you...
Independent Lucknow Call Girls 8923113531WhatsApp Lucknow Call Girls make you...
 
Interimreport1 January–31 March2024 Elo Mutual Pension Insurance Company
Interimreport1 January–31 March2024 Elo Mutual Pension Insurance CompanyInterimreport1 January–31 March2024 Elo Mutual Pension Insurance Company
Interimreport1 January–31 March2024 Elo Mutual Pension Insurance Company
 
House of Commons ; CDC schemes overview document
House of Commons ; CDC schemes overview documentHouse of Commons ; CDC schemes overview document
House of Commons ; CDC schemes overview document
 

Economic recovery and inflation

  • 1. Economic recovery and inflation Marek Dabrowski No. 494 (2018) CASE Reports This policy contribution was prepared for the Committee on Economic and Monetary Affairs of the European Parliament (ECON) as an input for the Monetary Dialogue of 26 February 2018 between ECON and the President of the ECB (http://www.europarl.europa.eu/committees/en/econ/monetary-dialogue.html) Copyright remains with the European Parliament at all times
  • 2. “CASE Reports” is a continuation of “CASE Network Studies & Analyses” series. Keywords: monetary policy, inflation, economic growth, unemployment, money multiplier, money velocity JEL Codes: E24, E31, E41, E51, E52 © CASE – Center for Social and Economic Research, Warsaw, 2018 Graphic Design: Katarzyna Godyń-Skoczylas | grafo-mania EAN: 9788371786693 Publisher: CASE – Center for Social and Economic Research Al. Jana Pawla II 61, office 212, 01-031 Warsaw, Poland tel.: (48 22) 206 29 00, 828 61 33, fax: (48 22) 206 29 01 e-mail: case@case-research.eu www.case-research.eu
  • 3. CASE Working Paper | No 1 (2015) 3 Author. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Abstract . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Executive Summary. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8 1. Introduction. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 2. Analysis of macroeconomic trends. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.1. GDP, inflation, and unemployment trends between 2000 and 2016 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12 2.2. Interrelation between growth, inflation, and unemployment. . . . . . . 16 2.3. GDP, inflation, and unemployment in the EA economies . . . . . . . . . . 23 2.4. Looking ahead: review of short-to-medium-term economic forecasts . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 3. Factors having an impact on inflation level . . . . . . . . . . . . . . . . . . . . . . . . . . 30 3.1. Decreasing money multiplier . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 30 3.2. Decreasing money velocity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 34 3.3. Supply-side shocks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 3.4. CPI and asset prices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 4.  Implications for monetary policy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42 5. Summary and conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 46 References. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48 Table of Contents
  • 4. CASE Working Paper | No 1 (2015) 4 List of Tables and Figures Table 1: Major advanced economies: output gap, 2015‒2018 (in % of potential GDP). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28 Figure 1: Annual change in GDP, constant prices, 2000‒2022 (in %). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 Figure 2: Inflation, end of period, 2000‒2022 (in %) . . . . . . . . . . . . . . . . . . . . . 14 Figure 3: Unemployment rate, 2000‒2022 (in % of total labour force) . . . . . 16 Figure 4: Euro area: real GDP, inflation, and unemployment, 2000‒2016 . . 17 Figure 5: Euro area: interrelation between inflation and unemployment, 2000‒2016. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Figure 6: United States: real GDP, inflation, and unemployment, 2000‒2016. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Figure 7: United States: interrelation between inflation and unemployment, 2000‒2016. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Figure 8: Japan: real GDP, inflation, and unemployment, 2000‒2016. . . . . . 21 Figure 9: Japan: interrelation between inflation and unemployment, 2000‒2016 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 Figure 10: Annual change in GDP, constant prices, EA economies, 2016‒2017 (in %). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 24 Figure 11: Inflation (HICP), end‒of‒period, EA economies, December 2017 (in %). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25
  • 5. CASE Working Paper | No 1 (2015) 5 Figure 12: Unemployment rate, EA economies, 2016‒2017 (in % of total labour force) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Figure 13: Money multiplier in the US, EA, and Japan, 2002‒2016 (broad money / base money) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 Figure 14: Central bank liabilities to other depository corporations, the US, EA, and Japan, 2002‒2016 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 33 Figure 15: Broad money velocity in the US, EA, and Japan, 2002‒2016 (nominal GDP / broad money). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35 Figure 16: Indexes of commodity prices, 2000‒2017 (2005=100). . . . . . . . . 36 Figure 17: Inflation (HICP and HICP minus energy), annual average, EA, 2008‒2017 (in %) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 37 Figure 18: The US stock market composite S&P index, 2004‒2017 . . . . . . . 38 Figure 19: The Boerse Frankfurt stock market index, 2004‒2017. . . . . . . . . 39 Figure 20: The US Nominal Home Prices Index, 2000‒2018 (01.01.2000=100) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 40 Figure 21: The Real Home Price Index, selected EA countries, 2000‒2016 (2015=100) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41
  • 6. CASE Working Paper | No 1 (2015) 6 Marek Dabrowski is a Co-founder and Fellow at CASE - Center for Social and Economic Research in Warsaw, Non-Resident Scholar at Bruegel, Brussels, and Professor of the Higher School of Economics in Moscow. He was Chairman of the CASE Supervisory Council and President of its Management Board (1991‒2011), Chairman of the Supervisory Board of CASE Ukraine in Kyiv (1999‒2009 and 2013‒2015), and Member of the Board of Trustees and Scientific Council of the E.T. Gaidar Institute for Economic Policy in Moscow (1996‒2016). He also held positions of the First Deputy Minister of Finance of Poland (1989‒1990), Member of Parliament (1991‒1993) and Member of the Monetary Policy Council of the National Bank of Poland (1998‒2004). Since the end of 1980s he has been involved in policy advising and policy research in Azerbaijan, Belarus, Bosnia and Herzegovina, Bulgaria, Egypt, Georgia, Iraq, Kazakhstan, Kyrgyzstan, Macedonia, Moldova, Mongolia, Montenegro, Poland, Romania, Russia, Saudi Arabia, Serbia, Syria, Turkmenistan, Ukraine, Uzbekistan and Yemen, and in a number of international research projects related to monetary and fiscal policies, growth and poverty, currency crises, international financial architecture, perspectives of European integration, European Neighborhood Policy and political economy of transition. He has also worked as consultant in a number of EU, World Bank, IMF, UNDP, OECD and USAID projects. Fellow under the 2014‒2015 Fellowship Initiative of the European Commission – Directorate General for Economic and Financial Affairs. Author of several academic and policy papers, and editor of several book publications. Author
  • 7. CASE Working Paper | No 1 (2015) 7 In the last decade, advanced economies, including the euro area, experienced deflationary pressures caused by the global financial crisis of 2007‒2009 and the anti- -crisis policies that followed—in particular, the new financial regulations (which led to a deep decline in the money multiplier). However, there are numerous signs in both the real and financial spheres that these pressures are disappearing. The largest advanced economies are growing up to their potential, unemployment is systematically decreasing, the financial sector is more eager to lend, and its clients—to borrow. Rapidly growing asset prices signal the possibility of similar developments in other segments of the economy. In this new macroeconomic environment, central banks should cease unconventional monetary policies and prepare themselves to head off potential inflationary pressures. Abstract
  • 8. CASE Working Paper | No 1 (2015) 8 ● In the last decade, advanced economies, including the euro area, experienced deflationary pressures caused by the global financial crisis of 2007‒2009 and the esulting collapse in financial intermediation which, in turn, led to a deep decline in the money multiplier and the money supply. The anti-crisis policies aimed at avoiding a deflationary spiral similar to that of 1929‒1933 (by means of unconventional monetary policies, including quantitative easing) and repeating financial crises in the future (by tightening financial regulation) further pushed the money multiplier down. Other deflationary shocks have come from the decreasing money velocity and the collapse of world commodity prices in 2014‒2015. However, these deflationary factors have had either a temporary or one-off character. ● In 2016‒2017, economic and monetary conditions started to change: most advanced economies, including the euro area, entered a path of economic growth and have either already closed or are about to close the negative output gap. There are signs of ris- ing inflationary pressures, in particular, on asset markets. The post-crisis deflationary factors are gradually disappearing. Commodity prices have started to increase again. The money multiplier and money velocity are unlikely to continue their decline and may start recovering soon, reflecting greater consumer and investment confidence and faster credit growth. ● The recent growth recovery takes place in a low-inflation environment. This means that low or even moderately negative inflation (for a certain period of time) does not need to be damaging for growth and employment and that a Phillips curve type of interrelation between inflation and unemployment does not necessarily hold in these new circumstances. ● In the new macroeconomic environment, major central banks, including the ECB, must prepare themselves to deal with potential inflationary pressures, which were largely absent in the last decade. They should not continue pushing inflation up to the Executive Summary
  • 9. CASE Reports | No. 494 (2018) 9 officially-targeted level of 2%. There is nothing wrong if inflation remains below 2%, so long as the economy is growing and a country’s negative output gap is disappearing. Instead, they must focus their attention to avoid the risk of building new asset bubbles (which may lead to a new round of financial crises if they burst) and overheating their economies. ● Central banks must also intensify their work on departing from unconventional monetary policy measures. It will not be an easy process because of the potential consequences for financial markets (changes in the profile of the yield curve) and governments (push- ing up the price of government securities), but this is the reason to start normalisation sooner rather than later. ● As one of the lessons from the post-crisis experience, policy makers should remember the strong impact of changes in financial regulation on the monetary condition, a factor which was not always sufficiently understood in the last decade. Another lesson points to the importance of constructing a broader price aggregate which, apart from consumer prices, would also include asset prices. This could help avoid the illusion of low inflation in situations where asset markets are evidently overheated.
  • 10. CASE Working Paper | No 1 (2015) 10 A bit more than a decade has passed since the real estate market imploded in the United States (US) in the summer of 2007, starting the most severe global financial crisis in the post-WWII era. Central banks in major currency areas faced the dramatic challenge of how to avoid a deep deflation and depression of the sort experienced by the world economy in the late 1920s and early 1930s. This task has been largely accomplished by aggressive monetary easing, including the prolonged use of unconventional monetary policy measures such as asset purchase programmes (quantitative easing) and negative interest rates. The period of the crisis-related recession was relatively short—in most advanced economies (AE)1 it was limited to the second half of 2008 and the first half of 2009. Most emerg- ing market and developing economies (EMDE) did not experience a recession at all. A deflationary spiral was avoided even if the consumer price index (CPI) was temporarily negative. However, the side effect of this success was a prolonged period of slow growth, stagnation, or even moderate recession, depending on the country. Only very recently, AE, including the European Union (EU) and euro area (EA), entered a path of economic recovery; however, inflation remains low—in most cases, below central banks’ inflation targets. In this context, the question arises whether low inflation is the “new normal”—that is, has it become independent of the business cycle and is it driven by deeper structural institutional changes in individual AE and the world economy as a whole? Or is it only a temporary legacy of the global crisis and post-crisis policies, which may one day disappear? This paper2 presents a brief analysis of the factors which influenced inflation trends in three major AE (the US, the EA, and Japan) in the last decade and the potential durability of these factors in the foreseeable future. 1  The terms advanced economies and emerging market and developing economies are borrowed from the International Monetary Fund’s World Economic Outlook (IMF WEO) country grouping; for the most recent version of this grouping, see http://www.imf.org/external/pubs/ft/weo/2017/02/weodata/weoselgr.aspx. 2  This is a reformated version of the briefing paper prepared in response to the request of the European Parliament’s Committee on Economic and Monetary Affairs ahead of the European Parliament’s Monetary Dialogue with the President of the European Central Bank on 26.02.2018 – http://www.europarl.europa.eu/ committees/en/econ/monetary-dialogue.html. The opinions expressed in this paper are the sole responsi- bility of the author and do not necessarily represent the official position of the European Parliament, CASE or other institutions, which the author is associated with. The author would like to thank Kristen Hartwell for her editorial support. 1.  Introduction
  • 11. 11 CASE Reports | No. 494 (2018) Our analysis will start with a review of macroeconomic trends since 2000 and the available macroeconomic forecasts for major AE (Section 2), followed by a discussion of the factors which may be responsible for low inflation, such as changes in financial intermediation, other structural changes, various supply-side shocks, and the absorption of excess liquidity by asset markets (Section 3). In this section, we will also try to assess whether the analysed factors have a temporary or durable character and, in the case when we deal with irreversible changes, whether they have a one-off character or whether the new trend may continue. Based on this analysis and its findings, we will formulate recommendations for the monetary policies of major central banks for the next few years (Section 4). Section 5 will present conclusions. In our analysis, we will use the data sources of the International Monetary Fund (IMF), Eurostat, the European Commission, the European Central Bank (ECB), Frankfurt’ Stock Exchange, and Robert Shiller’s database on US stock and home prices. Our working hypothesis is that while the decade following the global financial crisis of 2007‒2009 was unique for monetary policy makers due to the extraordinary macro- economic circumstances created by the crisis itself, the anti-crisis policies that followed, and some parallel changes of a structural and institutional character (which, in turn, put downward pressure on inflation), many of these circumstances have had a one-off or temporary character. In other words, central banks must be ready to respond to inflationary pressures, which may return at some point.
  • 12. CASE Working Paper | No 1 (2015) 12 In this section, we analyse the dynamics of GDP, inflation, and unemployment in the three largest AE—the US, the EA, and Japan—between 2000 and 2016 (Subsection 2.1), the interrelations between these three variables (Subsection 2.2), and the differences in the macroeconomic situation within the EA (Subsection 2.3). We also review the available short-to-medium term forecasts related to the major AE (Subsection 2.4). 2.1.  GDP, inflation, and unemployment trends between 2000 and 2016 Figures 1-3 present the annual changes in real GDP, end-of-year inflation, and un- employment rates in the US, the EA, and Japan for the period of 2000‒2016, according to the IMF World Economic Outlook database, October 2017 edition. For comparison, we also present aggregate data for all AE and, in the case of GDP, additionally for the entire world economy. In addition, each figure contains IMF estimates and forecasts for the period of 2017‒2020—the subject of our analysis in Subsection 2.4. 2.  Analysis of macroeconomic trends
  • 13. CASE Reports | No. 494 (2018) 13 Figure 1: Annual change in GDP, constant prices, 2000‒2022 (in %) Source: IMF World Economic Outlook database, October 2017 Regarding GDP dynamics, Figure 1 clearly shows that both AE as a group and the three largest AE analysed here have not been this century’s leaders of the world’s economic growth (in fact, they had already lost their leadership roles in the early 1990s). Global growth has been increasingly driven by the catch-up growth of EMDE before, during, and after the global financial crisis of 2007‒2009. As compared to the AE average, the US outperformed the others for most of the examined period, except for 2001 (the dotcom recession and the shock which followed the 9/11 terrorist attack), 2006‒2008, 2010, and 2016. Japan systematically under- performed, except for 2010 and 2013. The EA also underperformed, except for 2001, 2006‒2008, and 2016; however, it performed better than Japan, except for 2003 and 2012‒2013 (the peak of the EA financial crisis). Comparing the EA with the US, the former represented two periods of lower growth— between 2002 and 2005 and between 2009 and 2015. Recently, in 2016-2017, the growth rates of both economies tend to converge. A decade after the eruption of the global financial crisis, it is also clear that neither the global economy nor the AE are going to return to their pre-crisis rates of growth, 11 largest AE—the US, the EA, and Japan—between 2000 and 2016 (Subsection 2.1), the interrelations between these three variables (Subsection 2.2), and the differences in the macroeconomic situation within the EA (Subsection 2.3). We also review the available short-to-medium term forecasts related to the major AE (Subsection 2.4). 2.1. GDP, inflation, and unemployment trends between 2000 and 2016 Figures 1-3 present the annual changes in real GDP, end-of-year inflation, and unemployment rates in the US, the EA, and Japan for the period of 2000-2016, according to the IMF World Economic Outlook database, October 2017 edition. For comparison, we also present aggregate data for all AE and, in the case of GDP, additionally for the entire world economy. In addition, each figure contains IMF estimates and forecasts for the period of 2017-2020—the subject of our analysis in Subsection 2.4. Figure 1: Annual change in GDP, constant prices, 2000-2022 (in %) Source: IMF World Economic Outlook database, October 2017 Regarding GDP dynamics, Figure 1 clearly shows that both AE as a group and the three largest AE analysed here have not been this century’s leaders of the world’s economic growth (in fact, they had already lost their leadership roles in the early 1990s). Global growth has been increasingly driven by the catch-up growth of EMDE before, during, and after the global financial crisis of 2007-2009. As compared to the AE average, the US outperformed the others for most of the examined period, except for 2001 (the dotcom recession and the shock which followed the 9/11 terrorist attack), 2006-2008, 2010, and 2016. Japan systematically underperformed, -6 -4 -2 0 2 4 6 Japan US AE EA World
  • 14. 14 CASE Reports | No. 494 (2018) at least in the near future. This is not only a consequence of the unhealthy character of the pre-crisis boom, which was based on several financial bubbles (see Dabrowski, 2010), and crisis-related wounds (for example, far-reaching financial deleveraging—see Subsec- tion 3.1), but also a consequence of changes in supply-side factors—not always necessarily in favour of faster growth, such as a decline in the working-age population (Europe and Japan), population aging, and the end of the main phase of the third industrial revolution based on the mass implementation of information and communication technologies (ICT), which caused the slow growth in total factor productivity as compared to the second half of 1990s and early 2000s (Gordon, 2016, p.). Figure 2: Inflation, end of period, 2000‒2022 (in %) Source: IMF World Economic Outlook database, October 2017 Figure 2 shows that the inflation rate in Japan was systematically lower than in other AE, except for a short episode in 2014. In several years (2000-2003, 2005, and 2009‒2012), it was even negative, feeding the debate on the Japanese deflation trap (see e.g., Krugman, 1998; Ito and Mishkin, 2004; Murphy, 2016). Since 2000, the US has not record- ed a negative inflation rate, and the EA—only once in 2014 (-0.2%). This means that the 12 except for 2010 and 2013. The EA also underperformed, except for 2001, 2006-2008, and 2016; however, it performed better than Japan, except for 2003 and 2012-2013 (the peak of the EA financial crisis). Comparing the EA with the US, the former represented two periods of lower growth— between 2002 and 2005 and between 2009 and 2015. Recently, in 2016-2017, the growth rates of both economies tend to converge. A decade after the eruption of the global financial crisis, it is also clear that neither the global economy nor the AE are going to return to their pre-crisis rates of growth, at least in the near future. This is not only a consequence of the unhealthy character of the pre-crisis boom, which was based on several financial bubbles (see Dabrowski, 2010), and crisis- related wounds (for example, far-reaching financial deleveraging—see Subsection 3.1), but also a consequence of changes in supply-side factors—not always necessarily in favour of faster growth, such as a decline in the working-age population (Europe and Japan), population aging, and the end of the main phase of the third industrial revolution based on the mass implementation of information and communication technologies (ICT), which caused the slow growth in total factor productivity as compared to the second half of 1990s and early 2000s (Gordon, 2016, p. ). Figure 2: Inflation, end of period, 2000-2022 (in %) Source: IMF World Economic Outlook database, October 2017 Figure 2 shows that the inflation rate in Japan was systematically lower than in other AE, except for a short episode in 2014. In several years (2000-2003, 2005, and 2009-2012), it was even negative, feeding the debate on the Japanese deflation trap (see e.g., Krugman, 1998; Ito and Mishkin, 2004; Murphy, 2016). Since 2000, the US has not recorded a negative inflation rate, and the EA—only once in 2014 (-0.2%). This means that the fear of deflation so prevalent in the economic debates of both early 2000s and early 2010s was not well grounded. -3 -2 -1 0 1 2 3 4 5 Japan US AE EA
  • 15. CASE Reports | No. 494 (2018) 15 fear of deflation so prevalent in the economic debates of both early 2000s and early 2010s was not well grounded. For most of the examined period, except for 2001, 2003, 2008, 2010, and 2015, the EA had lower inflation than the US. However, until 2012, the EA inflation rate frequently exceeded the level of 2% (the upper inflation target of the ECB). This occurred in 2000‒2002, 2004‒2005, 2007, and 2010‒2012. In several years (2000, 2002, 2004‒2007, 2011, and 2016), US inflation also exceeded 2%, the official inflation target of the Fed since 2012. Furthermore, US inflation performance has been slightly more volatile as compared to the EA, especially in the period preceding the global financial crisis. However, Japanese inflation was the most volatile among the three largest AE. Figure 3 shows that the differences in the unemployment rates of the three analysed AE have a systematic character. Japan has had the lowest unemployment rates, well below the AE average, despite also having the lowest inflation and growth rates. The US have also recorded unemployment rates below the AE average, except for the post-crisis period of 2009-2012, but higher than those of Japan. The EA has had the highest level of un- employment, above the AE average. The differences in unemployment rates seem to be determined by the differences in the labour market institutions in individual economies.
  • 16. CASE Reports | No. 494 (2018) 16 Figure 3: Unemployment rate, 2000‒2022 (in % of total labour force) Source: IMF World Economic Outlook database, October 2017 2.2.  Interrelation between growth, inflation, and unemployment Figures 4, 6, and 8 show the changes in real GDP, inflation, and unemployment for each analysed country, while Figures 5, 7, and 9 plot inflation rates against unemployment rates for each country and each year between 2000 and 2016 (they may be considered as a sort of Phillips curve). 13 2002, 2004-2005, 2007, and 2010-2012. In several years (2000, 2002, 2004-2007, 2011, and 2016), US inflation also exceeded 2%, the official inflation target of the Fed since 2012. Furthermore, US inflation performance has been slightly more volatile as compared to the EA, especially in the period preceding the global financial crisis. However, Japanese inflation was the most volatile among the three largest AE. Figure 3 shows that the differences in the unemployment rates of the three analysed AE have a systematic character. Japan has had the lowest unemployment rates, well below the AE average, despite also having the lowest inflation and growth rates. The US have also recorded unemployment rates below the AE average, except for the post-crisis period of 2009-2012, but higher than those of Japan. The EA has had the highest level of unemployment, above the AE average. The differences in unemployment rates seem to be determined by the differences in the labour market institutions in individual economies. Figure 3: Unemployment rate, 2000-2022 (in % of total labour force) Source: IMF World Economic Outlook database, October 2017 2.2. Interrelation between growth, inflation, and unemployment Figures 4, 6, and 8 show the changes in real GDP, inflation, and unemployment for each analysed country, while Figures 5, 7, and 9 plot inflation rates against unemployment rates for each country and each year between 2000 and 2016 (they may be considered as a sort of Phillips curve). 2 3 4 5 6 7 8 9 10 11 12 AE EA Japan US
  • 17. CASE Reports | No. 494 (2018) 17 Figure 4: Euro area: real GDP, inflation, and unemployment, 2000‒2016 Source: IMF World Economic Outlook database, October 2017 Figure 4: Euro area: real GDP, inflation, and unemployment, 2000- 2016 Source: IMF World Economic Outlook database, October 2017 Figure 5: Euro area: interrelation between inflation and unemployment, 2000-2016 Source: IMF World Economic Outlook database, October 2017 -6 -4 -2 0 2 4 6 8 10 12 14 Real GDP annual change, in % Inflation, e-o-p, in % Unemployment, % of labour force -0.5 0 0.5 1 1.5 2 2.5 3 3.5 7 8 9 10 11 12 13 Inflationrate,endoftheperiod,in% Unemployment rate , in % of total labour force 2001 2000 2002 2003 200 42005 2006 2001 2000 2002 2003 2005 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
  • 18. CASE Reports | No. 494 (2018) 18 Figure 5: Euro area: interrelation between inflation and unemployment, 2000‒2016 Source: IMF World Economic Outlook database, October 2017 14 Source: IMF World Economic Outlook database, October 2017 Figure 5: Euro area: interrelation between inflation and unemployment, 2000-2016 Source: IMF World Economic Outlook database, October 2017 -6 -4 -2 0 2 4 -0.5 0 0.5 1 1.5 2 2.5 3 3.5 7 8 9 10 11 12 13 Inflationrate,endoftheperiod,in% Unemployment rate , in % of total labour force 2001 2000 2002 2003 200 42005 2006 2001 2000 2002 2003 2005 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
  • 19. CASE Reports | No. 494 (2018) 19 Figure 6: United States: real GDP, inflation, and unemployment, 2000‒2016 Source: IMF World Economic Outlook database, October 2017 Economic recovery and inflation Figure 6: United States: real GDP, inflation, and unemployment, 2000-2016 Source: IMF World Economic Outlook database, October 2017 Figure 7: United States: interrelation between inflation and unemployment, 2000-2016 Source: IMF World Economic Outlook database, October 2017 -4 -2 0 2 4 6 8 10 Real GDP annual change, in % Inflation, e-o-p, in % Unemployment, % of labour force 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 3 4 5 6 7 8 9 10 Inflationrate,endoftheperiod,in% Unemployment rate, in % of total labour force 2000 2004 2001 2003 2002 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
  • 20. CASE Reports | No. 494 (2018) 20 Figure 7: United States: interrelation between inflation and unemployment, 2000‒2016 Source: IMF World Economic Outlook database, October 2017 15 Source: IMF World Economic Outlook database, October 2017 Figure 7: United States: interrelation between inflation and unemployment, 2000-2016 Source: IMF World Economic Outlook database, October 2017 -4 -2 0 2 0 0.5 1 1.5 2 2.5 3 3.5 4 4.5 3 4 5 6 7 8 9 10 Inflationrate,endoftheperiod,in% Unemployment rate, in % of total labour force 2000 2004 2001 2003 2002 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
  • 21. CASE Reports | No. 494 (2018) 21 Figure 8: Japan: real GDP, inflation, and unemployment, 2000‒2016 Source: IMF World Economic Outlook database, October 2017 Figure 8: Japan: real GDP, inflation, and unemployment, 2000-2016 Source: IMF World Economic Outlook database, October 2017 Figure 9: Japan: interrelation between inflation and unemployment, 2000-2016 Source: IMF World Economic Outlook database, October 2017 -6 -4 -2 0 2 4 6 Real GDP annual change, in % Inflation, e-o-p, in % Unemployment, % of labour force -2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 3 3 3.5 4 4.5 5 5.5 6 Inflationrate,endoftheperiod,in% Unemployment rate, in % of total labour force 2000 2004 2001 2003 2002 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
  • 22. CASE Reports | No. 494 (2018) 22 Figure 9: Japan: interrelation between inflation and unemployment, 2000‒2016 Source: IMF World Economic Outlook database, October 2017 The interrelation between economic growth and unemployment is the easiest to detect and analyse. In all three largest AE, the unemployment rate has been an inverse function of changes in real GDP, with some lag. That is, it decreased following periods of economic growth and increased as a reaction to a recession or growth slowdown. In Japan, the amplitude of these reactions was the weakest (Figure 8), while in the US (Figure 6) ‒ the strongest; the EA (Figure 4) represents the intermediate case. The interrelation between growth and inflation looks more problematic. Before and during the first phase of the global financial crisis (up to 2010), they broadly moved together; although, for Japan and the EA, changes in GDP were more volatile than changes in inflation. The opposite situation was experienced by the US. However, since 2010, growth and inflation trends have often moved in opposite directions in the three currency areas—that is, periods of declining inflation were associated with growth recovery and vice versa. 16 Source: IMF World Economic Outlook database, October 2017 Figure 9: Japan: interrelation between inflation and unemployment, 2000-2016 Source: IMF World Economic Outlook database, October 2017 -6 -4 -2 Real GDP annual change, in % Inflation, e-o-p, in % Unemployment, % of labour force -2.5 -2 -1.5 -1 -0.5 0 0.5 1 1.5 2 2.5 3 3 3.5 4 4.5 5 5.5 6 Inflationrate,endoftheperiod,in% Unemployment rate, in % of total labour force 2000 2004 2001 2003 2002 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016
  • 23. CASE Reports | No. 494 (2018) 23 Looking at the entire analysed period (2000-2016), the trend lines of growth and inflation moved in parallel only in the EA (Figure 4). In the US (Figure 6), both declined, but at various speeds (inflation faster than growth). In Japan (Figure 8), they moved in opposite directions—that is, growth decreased and inflation increased, which may suggest the ineffectiveness of the continuous anti-deflationary monetary and fiscal policies (see Roach, 2017; Armstrong and Okimoto, 2016). This means that growth and inflation are not necessarily strongly interconnected, in particular, in the post-crisis period, and that the very low inflation experienced in recent years by several economies (not only the three largest AE analysed in this paper) does not necessarily need to be associated with weak growth. Figures 5, 7, and 9 present the analysis of the interrelation between inflation and unemployment. Again, in the long run, the trend lines demonstrate an inverse relationship between both variables—that is, a sort of Phillips curve relationship, but not very strong. In the short term, however, the changes of both variables do not necessarily follow this pattern—that is, there are periods in which their relationship is positive (in both directions). 2.3.  GDP, inflation, and unemployment in the EA economies While monetary policy usually aims at stabilising average price level (sometimes also an output growth or unemployment rate) in a given currency area, in the case of the EA, which is a monetary union of largely sovereign states (Dabrowski, 2015a), the ECB can- not ignore macroeconomic developments in individual national economies. For this reason, we take a brief look at the three basic macroeconomic indicators analysed in this section (real GDP growth, inflation, and unemployment) in each EA Member State (Figures 10‒12). IMF estimations confirm that, in 2017, all EA Member States recorded positive growth and, in most of them, the rate of growth was higher (sometimes much higher) than compared to 2016 (Figure 10). While differentiation in the expected 2017 growth rate (from 1.5% in Italy to 5.1% in Malta) cannot be completely ignored, it should not be over- dramatised. The highest growth rates concerned the smallest and most open economies, some of which (Ireland, Slovenia, and Cyprus) recovered from the period of recession caused by the financial crisis in the first half of the 2010s. Overall, one can say that in 2016‒2017, the EA economies were on the path of economic recovery and that economic growth looked quite solid as compared to the previous half of the decade (see Subsection 2.1). Similarly, unemployment rates were declining everywhere except Estonia (Figure 12), which could be considered as an additional sign of a solid EA-wide recovery. On the other
  • 24. CASE Reports | No. 494 (2018) 24 hand, large cross-country differences in unemployment rates (from 3.8% in Germany to 22.3% in Greece) suggest various degrees of flexibility in national labour markets (this is the area of economic policy that remains almost entirely in the competence of EU Member States). Figure 10: Annual change in GDP, constant prices, EA economies, 2016‒2017 (in %) Source: IMF World Economic Outlook database, October 2017 the area of economic policy that remains almost entirely in the competence of EU Member States). Figure 10: Annual change in GDP, constant prices, EA economies, 2016-2017 (in %) Source: IMF World Economic Outlook database, October 2017 Figure 11: Inflation (HICP), end-of-period, EA economies, December 2017 (in %) Source: Eurostat, http://ec.europa.eu/eurostat/tgm/web/_download/Eurostat_Table_teicp000FlagDesc_87bb 0 1 2 3 4 5 6 2016 2017 (IMF staff estimation) -0.5 0 0.5 1 1.5 2 2.5 3 3.5 4
  • 25. CASE Reports | No. 494 (2018) 25 Figure 11: Inflation (HICP), end-of-period, EA economies, December 2017 (in %) Source: Eurostat, http://ec.europa.eu/eurostat/tgm/web/_download/Eurostat_Table_teicp- 000FlagDesc_87bb6bcd-5ae3-4655-a2e3-1e6f8856b1b1.xls 18 Source: IMF World Economic Outlook database, October 2017 Figure 11: Inflation (HICP), end-of-period, EA economies, December 2017 (in %) Source: Eurostat, http://ec.europa.eu/eurostat/tgm/web/_download/Eurostat_Table_teicp000FlagDesc_87bb 6bcd-5ae3-4655-a2e3-1e6f8856b1b1.xls 0 1 2 3 -0.5 0 0.5 1 1.5 2 2.5 3 3.5 4
  • 26. CASE Reports | No. 494 (2018) 26 Figure 12: Unemployment rate, EA economies, 2016‒2017 (in % of total labour force) Source: IMF World Economic Outlook database, October 2017 Against such institutional settings, monetary policy can do little or nothing to improve the employment situation in the countries that traditionally suffer from the highest unemployment rates (Greece, Spain, Cyprus, Italy, Portugal, and France). Concerning the national inflation rates measured in the Harmonised Index of Consumer Prices (HICP) (Figure 11), their differentiation cannot be considered as very strong (given the various sizes and structural characteristics of individual economies) —from -0.4% in Cyprus (the only EA country with a negative inflation rate in 2017) to 3.8% in Estonia and Lithuania. Nevertheless, these two Baltic countries may soon face signs of overheating (IMF, 2017b). Economic recovery and inflation Figure 12: Unemployment rate, EA economies, 2016-2017 (in % of total labour force) Source: IMF World Economic Outlook database, October 2017 Against such institutional settings, monetary policy can do little or nothing to improve the employment situation in the countries that traditionally suffer from the highest unemployment rates (Greece, Spain, Cyprus, Italy, Portugal, and France). Concerning the national inflation rates measured in the Harmonised Index of Consumer Prices (HICP) (Figure 11), their differentiation cannot be considered as very strong (given the various sizes and structural characteristics of individual economies)—from -0.4% in Cyprus (the only EA country with a negative inflation rate in 2017) to 3.8% in Estonia and Lithuania. Nevertheless, these two Baltic countries may soon face signs of overheating (IMF, 2017b). 2.4. Looking ahead: review of short-to-medium-term economic forecasts According to the IMF medium-term forecast (IMF, 2017a), AE, including the EA and Japan, reached their highest growth momentum in 2017; in the case of the US, it should happen in 2018. That is, starting from 2018, the rate of growth in all AE, as well as in the EA, should gradually decrease (Figure 1). This has been caused by closing the output gap (Table 1; IMF, 2017b) and the supply-side constraints mentioned in Subsection 2.1. In 2017, the output gap was still negative for the entire EA, amounting to approximately - 0.5% of GDP (Table 1). However, it will disappear in 2018, according to the same IMF estimates. Looking at individual EA economies, in 2017, the output gap was positive only in Estonia, Germany, Ireland, Luxembourg, Malta, Netherland, Slovakia, Slovenia, and Spain; the other countries recorded a negative gap. In 2018, only Cyprus, Greece, France, Italy, and Slovakia will record a negative gap, according to the same estimates. 0 5 10 15 20 25 2016 2017 (IMF staff estimates)
  • 27. CASE Reports | No. 494 (2018) 27 2.4.  Looking ahead: review of short-to-medium-term economic forecasts According to the IMF medium-term forecast (IMF, 2017a), AE, including the EA and Japan, reached their highest growth momentum in 2017; in the case of the US, it should happen in 2018. That is, starting from 2018, the rate of growth in all AE, as well as in the EA, should gradually decrease (Figure 1). This has been caused by closing the output gap (Table 1; IMF, 2017b) and the supply-side constraints mentioned in Subsection 2.1. In 2017, the output gap was still negative for the entire EA, amounting to approximately ‒0.5% of GDP (Table 1). However, it will disappear in 2018, according to the same IMF estimates. Looking at individual EA economies, in 2017, the output gap was positive only in Estonia, Germany, Ireland, Luxembourg, Malta, Netherland, Slovakia, Slovenia, and Spain; the other countries recorded a negative gap. In 2018, only Cyprus, Greece, France, Italy, and Slovakia will record a negative gap, according to the same estimates.
  • 28. CASE Reports | No. 494 (2018) 28 Table 1:.Major advanced economies: output gap, 2015‒2018 (in % of potential GDP) Note: the source does not contain output gap estimates for Latvia and Lithuania Source: IMF World Economic Outlook database, October 2017 Despite the sceptical attitude of the author of this paper to practical estimates of out- put gap (based, in most cases, on an extrapolation of past trends which does not neces- sarily provide a true ex-ante picture of the period’s structural breaks and reforms—see Dabrowski, 2015a), the trend presented in Table 1 suggests that it is not insufficient demand that harms economic growth and that the room for both monetary and fiscal policies to boost growth has been disappearing. If one wants to think about increasing growth potential in a medium-to-long perspective, attention must be given to supply-side constraints, such as relaxing demographic constraints in the labour force supply, increasing the investment rate, and boosting productivity, which has stagnated since the mid-2000s (see Gordon, 2016, p. 602). However, the analysis of these constraints goes beyond the thematic agenda of this paper. Economy/ group of economies 2015 2016 2017 2018 Advanced economies ‒0.9 ‒0.8 ‒0.2 0.1 Japan ‒2.1 ‒1.8 ‒0.9 ‒0.7 US 0.0 ‒0.1 0.3 0.7 EA, of which ‒1.9 ‒1.3 ‒0.5 0.0 Austria ‒1.3 ‒1.0 ‒0.1 0.3 Belgium ‒0.5 ‒0.4 ‒0.1 0.2 Cyprus ‒5.6 ‒3.8 ‒1.7 ‒0.6 Estonia ‒0.1 ‒0.2 1.1 1.3 Finland ‒2.9 ‒1.7 ‒0.7 ‒0.2 France ‒2.4 ‒2.2 ‒1.8 ‒1.3 Germany 0.1 0.4 0.8 1.0 Greece ‒5.5 ‒4.9 ‒3.8 ‒2.0 Ireland ‒0.4 0.6 1.1 1.0 Italy ‒3.3 ‒2.7 ‒1.6 ‒1.0 Luxembourg 0.4 0.5 0.4 0.4 Malta 1.8 1.4 1.2 0.9 Netherlands ‒1.4 ‒0.9 0.4 1.2 Portugal ‒3.8 ‒2.6 ‒0.6 0.6 Slovakia 0.0 ‒0.2 0.0 ‒0.1 Slovenia ‒2.3 ‒0.9 1.0 1.5 Spain ‒4.5 ‒2.3 ‒0.7 0.3
  • 29. CASE Reports | No. 494 (2018) 29 The World Economic Outlook Update published by the IMF in January (IMF, 2018) offers more optimistic estimates (as compared to IMF, 2017a and Figure 1) of real GDP growth for the three largest AE analysed in Subsection 2.1—2.3% for the US instead of 2.1%, 1.8% for Japan instead of 1.5%, and 2.4% for the EA instead of 2.1%. Furthermore, the growth forecast for 2018-2019 is also more optimistic as compared with the October 2017 forecast—by 0.4 and 0.6 percentage points (p.p.), respectively, for the US, by 0.5 and 0.1 p.p. for Japan, and by 0.3 and 0.3 p.p. for the EA. The Winter 2018 (Interim) Forecast of the European Commission (2018) gives the same growth estimate for the EA in 2017 as the IMF (2018)—that is, 2.4%, a slightly higher forecast for 2018 (2.3%, while the IMF (2018) forecasts 2.2%), and 2.0% for 2019 (the same as that of the IMF, 2018). This means that both the US and the EA are at the peak of the current business cycle and that they have already closed or are about to close the output gap. Hence, the US Fed should continue its monetary policy tightening and the ECB should also consider such a perspective. The forecasts of other macroeconomic variables confirm this finding. The IMF World Economic Outlook forecast of October 2017 (Figure 3) suggests the unemployment rate will continue to decrease in the EA (though at slow pace), while it will stabilise at its low level in the US and Japan. On the contrary, inflation will continue to rise (Figure 2). The trend of increasing inflation (up to 1.8% in 2020) has also been predicted in the ECB Survey of Professional Forecasters of January 20183 . However, the European Commission (2018) offers a different perspective of inflation for 2018‒2019—namely, that it will stabilise around 1.5-1.6%. 3  See: https://www.ecb.europa.eu/stats/ecb_surveys/survey_of_professional_forecasters/html/table_hist _hicp.en.html
  • 30. CASE Working Paper | No 1 (2015) 30 In this section, we will analyse the factors that have had an impact on the inflation level since the beginning of the global financial crisis in 2007—namely, changes in financial intermediation and monetary policy instruments, which led to a decline in the money multiplier (Subsection 3.1), changes in money velocity (Subsection 3.2), and supply-side shocks (Subsection 3.3). This will be followed by remarks related to the inflation meas- urement problem or, more precisely, the imperfection of the CPI as an inflation measure (Subsection 3.4). 3.1.  Decreasing money multiplier The money multiplier is defined as the ratio between the broad money aggregate (i.e. money created by commercial banks and non-banking financial institutions) and the central bank’s base money (also called reserve money, the monetary base, or high- -powered money). While there are various definitions of broad money, ranging from the sum of cash in circulation, demand, and time deposits (M2) to broader aggregates which also in- clude various quasi-money instruments (M3, M4, or M5)4 , this does not change the basic characteristic of the money multiplication mechanism of a fractional-reserve banking system. A higher money multiplier increases the broad money created by a unit of the central bank’s base money. On the contrary, a lower money multiplier decreases broad money, other things being equal (see Dabrowski, 2015b). Figure 13 shows that the money multiplier collapsed dramatically in the three major currency areas since the beginning of the global financial crisis. Between 2007 and 2016, 4  These definitions vary between monetary jurisdictions. The ECB uses aggregates of M1 (the sum of currency in circulation and overnight deposits), M2 (the sum of M1, deposits with an agreed maturity of up to two years, and deposits redeemable at a notice of up to three months), and M3 (the sum of M2, repurchase agreements, money market fund shares/units, and debt securities with a maturity of up to two years) – see http://www.ecb.europa.eu/stats/money/aggregates/aggr/html/ index.en.html. While the M1 represents “narrow” money, the M2 and M3 are two various measures of “broad” money. 3.  Factors having an impact on inflation level
  • 31. CASE Reports | No. 494 (2018) 31 it decreased from 14.3 to 4.9 in the US (during this period, in 2014‒2015, it reached an even lower level of 4.0), from 10.8 to 3.0 in Japan, and from 8.0 to 4.5 in the EA. There are various factors that contributed to such a decline. First, the financial crisis damaged the entire process of financial intermediation for several years. Banks, other financial institutions, non-financial enterprises, and households had to repair their balance sheets, which made them cautious towards fresh borrowing and lending. In particular, commercial banks followed a more “conservative” business model, preferring to retain additional liquidity and capital margins (beyond what was required by prudential standards—see below) rather than become engaged in risky lending. Second, following the crisis, the regulatory environment for commercial banks and non-banking financial institutions was seriously tightened. This concerned, among others, increasing the capital adequacy ratio (CAR) and liquidity coverage ratio (LCR). In particular, increasing the LCR has a similar (negative) effect on the money multiplier and broad money creation as increasing the mandatory reserve requirement (MRR)—an instrument rarely used by central banks in AE. Increasing the CAR can also suppress the money multiplier at least in the short term until commercial banks supplement their capital. The same concerns the fiscal instruments, such as taxes on banking transactions, which were introduced in several countries.
  • 32. CASE Reports | No. 494 (2018) 32 Figure 13: Money multiplier in the US, EA, and Japan, 2002‒2016 (broad money / base money) Source: IMF International Financial Statistics (www.data.imf.org) and author’s own calculation Economic recovery and inflation 23 the fiscal instruments, such as taxes on banking transactions, which were introduced in several countries. Figure 13: Money multiplier in the US, EA, and Japan, 2002-2016 (broad money / base money) Source: IMF International Financial Statistics (www.data.imf.org) and author’s own calculation Figure 14: Central bank liabilities to other depository corporations, the US, EA, and Japan, 2002-2016 Source: IMF International Financial Statistics (www.data.imf.org) and author’s own calculation 3 5 7 9 11 13 15 200220032004200520062007200820092010201120122013201420152016 EA Japan US 0 500,000 1,000,000 1,500,000 2,000,000 2,500,000 3,000,000 3,500,000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 EA, EUR million Japan, JPY hundreds million US, USD million
  • 33. CASE Reports | No. 494 (2018) 33 Figure 14: Central bank liabilities to other depository corporations, the US, EA, and Japan, 2002‒2016 Source: IMF International Financial Statistics (www.data.imf.org) and author’s own calculation Such conservative behaviour can explain the phenomenon of the large excess voluntary reserves kept by commercial banks in central banks (Figure 14). In monetary policy terms, this means a lower money multiplier as compared to when banks work at full lending capacity (i.e. within the limits set by regulatory norms). The third factor that could dampen the money multiplier is unconventional monetary policy and the various central bank interventions on financial markets. For example, providing additional lending opportunities to commercial banks and accepting their deposits on a mass scale did not help in rebuilding the interbank market. Furthermore, Figures 13 and 14 suggest that periods of rapid declines in the money multiplier and rapid increases in commercial bank deposits in central banks coincided with periods of quantitative easing (QE), while stopping or slowing down direct asset purchases by central banks (e.g. by the Fed since the second half of 2013 and the ECB in 2012‒2013) stabilised or even somewhat increased the money multiplier (and decreased banks deposits with central banks). Probably, QE has absorbed so many low-risk liquid securities from the financial market that commercial banks have had to increase their voluntary 23 Source: IMF International Financial Statistics (www.data.imf.org) and author’s own calculation Figure 14: Central bank liabilities to other depository corporations, the US, EA, and Japan, 2002-2016 Source: IMF International Financial Statistics (www.data.imf.org) and author’s own calculation 3 5 7 9 11 200220032004200520062007200820092010201120122013201420152016 Japan US 0 500,000 1,000,000 1,500,000 2,000,000 2,500,000 3,000,000 3,500,000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 EA, EUR million Japan, JPY hundreds million US, USD million
  • 34. CASE Reports | No. 494 (2018) 34 deposits in central banks to manage their liquidity. If this hypothesis is correct, it can mean a sort of vicious circle where the instrument aimed at increasing the money supply has the opposite effect. Overall, in the crisis and post-crisis period, the decline in the money multiplier has been a powerful deflationary factor in the three analysed AE. This single factor is sufficient to explain the continuous low inflation environment in which these economies operate. However, it is unlikely to expect a further decline in the money multiplier in the coming years. Rather, as result of the gradual normalisation of monetary policy and the revival of financial intermediation (once banks fully adjust to a new regulatory environment), it can start to increase, as already observed in the US. Furthermore, one cannot exclude that the successful pressure of the financial lobby, especially in the US, can lead to a partial relaxation of the post-crisis regulatory corset. 3.2.  Decreasing money velocity In parallel to the decreasing money multiplier (Subsection 3.2), broad money velocity also decreased in the analysed currency areas (Figure 15). That is, demand for broad money increased. However, the degree of change was not as large as in the case of the money multiplier5 . Nevertheless, it also had a deflationary character. Part of the increasing demand for broad money has come, most probably, from outside (i.e. from non-residents), given the global role of all three currencies and the tendency to more intensive currency substitution in other currency areas (especially in EMDE) during the period of prolonged financial turmoil and associated macroeconomic uncer- tainty. Another part of this increased demand can be explained by deleveraging and the precautionary saving of residents at the time of the financial crisis and economic stagnation. While it is hard to forecast broad money velocity in the future, one cannot exclude the partial reversal of the trend observed in the last decade. This may be caused by an expected normalisation of monetary policy and a revival in financial intermediation (see Subsection 3.1). 5  Obviously, taking into consideration changes in the money multiplier, demand for reserve money increased much more.
  • 35. CASE Reports | No. 494 (2018) 35 Figure 15: Broad money velocity in the US, EA, and Japan, 2002‒2016 (nominal GDP / broad money) Source: IMF International Financial Statistics (www.data.imf.org) and author’s own calculation 3.3.  Supply-side shocks In addition to the changes in money supply and demand for money caused by the de- creasing money multiplier and decreasing money velocity, the analysed economies have also had to deal with supply-side shocks, especially those originating from commodity markets. That is, domestic inflation has been affected by the change in prices of imported energy, food, and other commodities such as metals, minerals, and agriculture raw materials. Figure 16 shows that, in the analysed period, there were two periods of commodity price booms (2003‒2008 and 2010‒2013) and two periods of price decline (2008‒2009 and 2014‒2016). To be precise, fluctuations in commodity prices are influenced not only by supply-side factors, but also by changes in global demand (this could be observed, in particular, between 2007 and 2010). Nevertheless, for the individual economies, even large econo- mies like those analysed in this paper, fluctuations in commodity prices can be considered as external supply-side shocks. Economic recovery and inflation Figure 15: Broad money velocity in the US, EA, and Japan, 2002-2016 (nominal GDP / broad money) ! Source: IMF International Financial Statistics (www.data.imf.org) and author’s own calculation 3.3. Supply-side shocks In addition to the changes in money supply and demand for money caused by the decreasing money multiplier and decreasing money velocity, the analysed economies have also had to deal with supply-side shocks, especially those originating from commodity markets. That is, domestic inflation has been affected by the change in prices of imported energy, food, and other commodities such as metals, minerals, and agriculture raw materials. Figure 16 shows that, in the analysed period, there were two periods of commodity price booms (2003-2008 and 2010-2013) and two periods of price decline (2008-2009 and 2014-2016). To be precise, fluctuations in commodity prices are influenced not only by supply-side factors, but also by changes in global demand (this could be observed, in particular, between 2007 and 2010). Nevertheless, for the individual economies, even large economies like those analysed in this paper, fluctuations in commodity prices can be considered as external supply-side shocks. Figure 17 presents the impact of changes in energy prices on the EA’s HICP. The choice of energy prices is justified by the fact that this is a largely imported item and, therefore, independent from domestic demand-side factors. A comparison of headline HICP with that in which changes in energy prices have been deducted suggests that external supply-side shocks had an impact on EA inflation—positive in 2008, 2010-2012, and 2017 and negative in 2009 and 2013-2016. The HICP without the energy component presents less volatility than the headline inflation. Looking ahead, it is important to notice that commodity prices, including energy, are on the rise since 2017 and, most likely, this trend will continue, although at a moderate pace (IMF, 0,30 0,60 0,90 1,20 1,50 2002 20032004 20052006 20072008 20092010 20112012 2013 20142015 2016 EA Japan US !27
  • 36. CASE Reports | No. 494 (2018) 36 Figure 17 presents the impact of changes in energy prices on the EA’s HICP. The choice of energy prices is justified by the fact that this is a largely imported item and, therefore, independent from domestic demand-side factors. A comparison of headline HICP with that in which changes in energy prices have been deducted suggests that external supply-side shocks had an impact on EA inflation—positive in 2008, 2010‒2012, and 2017 and negative in 2009 and 2013‒2016. The HICP without the energy component presents less volatility than the headline inflation. Looking ahead, it is important to notice that commodity prices, including energy, are on the rise since 2017 and, most likely, this trend will continue, although at a moderate pace (IMF, 2017a). This means that, in the near future, the external supply-side factors will, most likely, push EA headline inflation up (the same can be expected in Japan and the US) rather than moderate it. Figure 16: Indexes of commodity prices, 2000‒2017 (2005=100) Source: IMF World Economic Outlook database, October 2017 Figure 16: Indexes of commodity prices, 2000-2017 (2005=100) Source: IMF World Economic Outlook database, October 2017 Figure 17: Inflation (HICP and HICP minus energy), annual average, EA, 2008-2017 (in %) 30 60 90 120 150 180 210 240 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Crude Oil Food and Beverage Agricultural Raw Materials Metals 3.3 1.6 2.7 2.5 1.3 1.5 2.6 1.3 1.0 1.7 1.9 1.4 0.7 0.9 0.9 1.2 1 1.5 2 2.5 3 3.5 HICP HICP minus energy
  • 37. CASE Reports | No. 494 (2018) 37 Figure 17: Inflation (HICP and HICP minus energy), annual average, EA, 2008‒2017 (in %) Source: Eurostat, http://ec.europa.eu/eurostat/tgm/web/_download/Eurostat_Table_teicp- 000FlagDesc_87bb6bcd-5ae3-4655-a2e3-1e6f8856b1b1.xls 3.4.  CPI and asset prices Due to its composition limited to consumer goods and services, the CPI has never been a perfect measure of inflation pressure. The latter is not always seen on the consumer market. Quite often the excessive liquidity is absorbed, in particular, by asset markets —the stock market, real estate markets, and commodity markets. This happened in Japan in the 1980s and in the US in the second half of the 1990s and then again in 2003‒2007. These episodes ended with bubbles bursting, which had negative consequences for financial stability, especially when one led to the global financial crisis of 2007‒2009. 26 Source: IMF World Economic Outlook database, October 2017 Figure 17: Inflation (HICP and HICP minus energy), annual average, EA, 2008-2017 (in %) Source: Eurostat, http://ec.europa.eu/eurostat/tgm/web/_download/Eurostat_Table_teicp000FlagDesc_87bb 6bcd-5ae3-4655-a2e3-1e6f8856b1b1.xls 3.4. CPI and asset prices Due to its composition limited to consumer goods and services, the CPI has never been a perfect measure of inflation pressure. The latter is not always seen on the consumer market. Quite often the excessive liquidity is absorbed, in particular, by asset markets—the stock market, real estate markets, and commodity markets. This happened in Japan in the 30 60 90 120 150 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 Crude Oil Food and Beverage Agricultural Raw Materials Metals 3.3 0.3 1.6 2.7 2.5 1.3 0.4 0.0 0.2 1.5 2.6 1.3 1.0 1.7 1.9 1.4 0.7 0.9 0.9 1.2 0 0.5 1 1.5 2 2.5 3 3.5 2008 2009 2010 2011 2012 2013 2014 2015 2016 2017 HICP HICP minus energy
  • 38. CASE Reports | No. 494 (2018) 38 Figure 18: The US stock market composite S&P index, 2004‒2017 Source: Online data Robert Shiller, http://www.econ.yale.edu/~shiller/data/ie_data.xls Economic recovery and inflation 27 1980s and in the US in the second half of the 1990s and then again in 2003-2007. These episodes ended with bubbles bursting, which had negative consequences for financial stability, especially when one led to the global financial crisis of 2007-2009. Figure 18: The US stock market composite S&P index, 2004-2017 Source: Online data Robert Shiller, http://www.econ.yale.edu/~shiller/data/ie_data.xls Figure 19: The Boerse Frankfurt stock market index, 2004-2017 Source: Boerse Frankfurt, http://en.boerse- frankfurt.de/index/pricehistory/DAX/1.1.2004_31.12.2017#History 500.00 1000.00 1500.00 2000.00 2500.00 3000.00 2004.01 2004.06 2004.11 2005.04 2005.09 2006.02 2006.07 2006.12 2007.05 2007.1 2008.03 2008.08 2009.01 2009.06 2009.11 2010.04 2010.09 2011.02 2011.07 2011.12 2012.05 2012.1 2013.03 2013.08 2014.01 2014.06 2014.11 2015.04 2015.09 2016.02 2016.07 2016.12 2017.05 2017.1 2,000 4,000 6,000 8,000 10,000 12,000 14,000
  • 39. CASE Reports | No. 494 (2018) 39 Figure 19: The Boerse Frankfurt stock market index, 2004‒2017 Source: Boerse Frankfurt, http://en.boerse-frankfurt.de/index/pricehistory/DAX/1.1.2004_ 31.12.2017#History 27 Source: Online data Robert Shiller, http://www.econ.yale.edu/~shiller/data/ie_data.xls Figure 19: The Boerse Frankfurt stock market index, 2004-2017 Source: Boerse Frankfurt, http://en.boerse- frankfurt.de/index/pricehistory/DAX/1.1.2004_31.12.2017#History 500.00 1000.00 1500.00 2004.01 2004.06 2004.11 2005.04 2005.09 2006.02 2006.07 2006.12 2007.05 2007.1 2008.03 2008.08 2009.01 2009.06 2009.11 2010.04 2010.09 2011.02 2011.07 2011.12 2012.05 2012.1 2013.03 2013.08 2014.01 2014.06 2014.11 2015.04 2015.09 2016.02 2016.07 2016.12 2017.05 2017.1 2,000 4,000 6,000 8,000 10,000 12,000 14,000
  • 40. CASE Reports | No. 494 (2018) 40 Figure 20: The US Nominal Home Prices Index, 2000‒2018 (01.01.2000=100) Source: Online data Robert Shiller, http://www.standardandpoors.com/indices/sp-case- shiller-home-price-indices/en/us/?indexId=spusa-cashpidff--p-us---- Figure 20: The US Nominal Home Prices Index, 2000-2018 (01.01.2000=100) Source: Online data Robert Shiller, http://www.standardandpoors.com/indices/sp-case- shiller-home-price-indices/en/us/?indexId=spusa-cashpidff--p-us---- Figure 21: The Real Home Price Index, selected EA countries, 2000- 2016 (2015=100) Source: Eurostat, http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&plugin=1&language=en&pco de=tipsho10 100 110 120 130 140 150 160 170 180 190 200 2000 2001 2001 2002 2002 2003 2004 2004 2005 2005 2006 2006 2007 2008 2008 2009 2009 2010 2011 2011 2012 2012 2013 2013 2014 2015 2015 2016 2016 2017 2018 50 60 70 80 90 100 110 120 130 140 150 160 170 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Austria Belgium Finland France Germany Italy Netherlands Spain
  • 41. CASE Reports | No. 494 (2018) 41 Figure 21: The Real Home Price Index, selected EA countries, 2000-2016 (2015=100) Source: Eurostat, http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&plugin=1& language=en&pcode=tipsho10 The pros and cons of including asset prices into the price index were discussed extensively in the literature in the 1990s and early 2000s (see e.g. Goodhart, 2001; Bryan, Cecchetti, and O’Sullivan, 2002; Andersson, 2011), but with no implications for statistical practice. Many central banks take into consideration changes in asset prices in their monetary policy making6 , but a broader public concentrates its attention on changes in CPI. After the dramatic burst of bubbles in 2007-2008, the stock and real estate market indices have gradually recovered to the previous level, which again can be considered as dangerous for financial stability (Figures 18-21). Besides, they signal that actual inflationary pressure in the US and EA is higher than suggested by the CPI measure. 6  For example, the ECB follows the stability-oriented two-pillar strategy based on economic and monetary analysis (ECB 2011, p. 69-72). Apart from CPI inflation, it observes changes in monetary aggregates which allows for the detection of potential credit or asset bubbles in their early stages (see Issing, 2003). 28 Source: Online data Robert Shiller, http://www.standardandpoors.com/indices/sp-case- shiller-home-price-indices/en/us/?indexId=spusa-cashpidff--p-us---- Figure 21: The Real Home Price Index, selected EA countries, 2000- 2016 (2015=100) Source: Eurostat, http://ec.europa.eu/eurostat/tgm/table.do?tab=table&init=1&plugin=1&language=en&pco de=tipsho10 100 110 120 130 140 150 2000 2001 2001 2002 2002 2003 2004 2004 2005 2005 2006 2006 2007 2008 2008 2009 2009 2010 2011 2011 2012 2012 2013 2013 2014 2015 2015 2016 2016 2017 2018 50 60 70 80 90 100 110 120 130 140 150 160 170 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 2013 2014 2015 2016 Austria Belgium Finland France Germany Italy Netherlands Spain
  • 42. CASE Working Paper | No 1 (2015) 42 Our analysis in the two previous sections suggests practical implications for monetary policy making, which will be discussed below. Let us start from the question of officially recorded inflation versus actual inflationary pressure addressed in Subsection 3.4. The traditional concept of inflation measurement based on CPI proved too narrow, especially in the era of the rapid development and increas- ing sophistication of financial services. It misses price changes in asset markets, which can absorb a large part of the changes in money supply and the resulting changes in domestic demand. As result, it can mislead both policy makers and the general public by suggesting low CPI inflation while inflationary pressures cumulate on asset markets. Such a dichotomy was observed in AE several times in the past, and, in particular, in the period preceding the global financial crisis of 2007-2009. A similar situation has been observed recently with stock and real estate markets booming both in the US and EA. This has two practical implications, the first for the right diagnosis of the current macro- economic situation and the second for the methodology of price statistics. As for the first implication, it is important to understand that actual inflation is higher than that recorded by the CPI/HICP measure, precisely because of the parallel rapid in- crease of asset prices. What the difference is between both (that is, the CPI/HICP and the hypothetical broader index which would also include asset prices) is a matter of statistical estimation going beyond the agenda of this paper7 . Nevertheless, ignoring this factor can lead not only to wrong perceptions on the actual inflation but, more importantly, to wrong policy conclusions, like continuing to fight a supposed danger of deflation which no longer exists. In the extreme case, if the increase in asset prices is not given sufficient attention, the AE can face another financial crisis with unforeseeable consequences. Going beyond the current policy debate, central banks, statistical agencies, and the academic community should return to work on constructing a broader price aggregate which would also include asset prices. This is not an easy task, but one worth trying. 7  Bryan, Cecchetti, and O’Sullivan (2002) came to the conclusion that the US CPI in the 1990s might be underestimated by roughly 0.25 p.p. annually due to a failure to include asset prices in the aggregate price statistics. 4.  Implications for monetary policy
  • 43. CASE Reports | No. 494 (2018) 43 Of course, its successful completion does not mean abandoning the CPI, which will still have an important role to play (not only in monetary policy making, but also in income and social policies). The right perception of the actual inflation pressure (including asset markets) is only the first step in the right diagnosis of the current macroeconomic situation. Regardless of the inflation measure used, it is clear that all major AE have finally emerged from the recession and stagnation caused by the global financial crisis (see Section 2). Furthermore, except for Japan, they have already closed or are about to close the output gap—that is, they are on the top of the business cycle. In such a situation, monetary policy can do little or nothing to further stimulate the growth of output and employment; rather, this is a task for micro- economic and structural policies. On the contrary, it should avoid the risk of overheating, especially in the US (where expansionary fiscal policy adds to macroeconomic expansion) and in smaller EA economies. A related task concerns taking care of potential asset bubbles, a high priority in the US and several parts of the EA (see Subsection 3.4). A more general lesson concerns the weakening of the interlinks between inflation, on the one hand, and output growth and unemployment, on the other, especially in the post-crisis macroeconomic environment. One can see that low inflation can coexist with growth and employment recovery, which puts under question the traditional Phillips curve type of interdependence (see Subsection 2.2). At least a temporary lack of such a relationship has been confirmed by the recent experience of many countries in Europe and outside, in which periods of very low or even negative inflation coexisted with a solid growth record. This concerns, among others, Ireland (2013‒2016), Slovakia (2013‒2016), Slovenia (2014‒2016), Lithuania (2014‒2015), Germany (2014‒2015), Spain (2014‒2015), Poland (2013‒2016), Romania (2014‒2016), Hungary (2013‒2015), Switzerland (2011‒2016), Macedonia (2014‒2016), Israel (2014‒2017), and Singapore (2014‒2016). Regarding the monetary and non-monetary factors that had an impact on the inflation level in the analysed period of 2007‒2017, one should take into consideration changes in money supply, demand for money, and external supply-side shocks. Both changes in money supply (via a decreasing money multiplier) and changes in the demand for broad money (an effect of decreasing money velocity) had a deflationary impact, but with various strengths. The decrease in money velocity was moderate and so was its impact on monetary conditions. On the contrary, the rapid and far-reaching collapse in the money multiplier in all analysed currency areas had a profound impact on money supply. It resulted from far-reaching financial deleveraging during both the crisis and post- -crisis periods and was caused by the more conservative behaviour of both lenders and borrowers and by the much tighter micro- and macro-prudential regulation of the financial sector in the post-crisis area.
  • 44. CASE Reports | No. 494 (2018) 44 A long-term lesson from this experience points to the interlinks between monetary policy and financial regulation, which are often overlooked or even neglected by the policy makers responsible for both areas (even if they are housed at the same institution —the central bank), the academic community, and the general public. Unconventional monetary policy aimed at overcoming the negative consequences of the declining money multiplier for the money supply caused, in fact, its further decline by discouraging financial intermediation and the absorption of low-risk financial assets. This hypothesis requires, however, further empirical examination. The external supply-side shocks—mainly changes in imported commodity prices (Section 3.3)—also had impact on inflation. In the analysed period, they worked in various directions. In the EA, they pushed up the headline HICP inflation in 2008, 2010‒2012, and 2017, while they pushed it down in 2009 and 2013-2016. In the near future, they will add to inflation pressure rather than moderate it. The coincidence of several deflationary factors, in particular those related to profound changes in financial intermediation, put downward pressure on inflation. However, such a pressure will not last forever (which is already seen in the US). Even if we assume that the financial sector learned lessons from the financial crisis of 2007-2009 and will continue to follow more conservative market practices (this does not necessarily have to be true) and that the new more restrictive financial regulations remain in place for a long period of time (there is also no political guarantee for this), financial deleveraging and disinter- mediation will not progress further. That is, the money multiplier will not continue to de- cline. Instead, there is the probability that it will recover somewhat following the adjust- ment of the financial sector to a new regulatory environment, the heightened interest of market participants to lend and borrow as result of their optimistic assessment of business perspectives, and central banks’ withdrawal from unconventional monetary policy measures. The same concerns money velocity, which may increase as result of economic recovery and external price shocks, which will be positive rather than negative in the near term. Given all the above-analysed circumstances, central banks should not continue push- ing inflation up to the officially-targeted level. There is nothing wrong if inflation remains below 2% (the level targeted by central banks in all three analysed currency areas), so long as the economy is growing and a country’s negative output gap is disappearing. In- stead, central banks should reflect on how to resist the forthcoming inflationary pressures, avoiding the further building of asset bubbles (one of the consequences of low interest rates) and overheating their economies.
  • 45. CASE Reports | No. 494 (2018) 45 The so-called normalisation of monetary policies—that is, the termination of QE (in the EA and Japan)—followed by a gradual reduction of central bank balance sheets and a gradual increase of interest rates seems to be the inevitable outlook in all AE. It will not be an easy process because of its potential consequences for financial markets (changes in the profile of yield curve) and governments (pushing up the price of government securities), but this is the reason to start normalisation sooner rather than later.
  • 46. CASE Working Paper | No 1 (2015) 46 Our analysis has demonstrated that the period of low inflation and the various deflationary pressures will, most likely, come to an end soon. These deflationary pressures originated from the powerful shock generated by the global financial crisis of 2007‒2009 and the turbulence that followed—for example, the public debt and banking crisis in some parts of the EA (2010‒2014). The most powerful deflationary shock came from the collapse of financial intermediation and the far-reaching financial deleveraging in most AE. In monetary terms, this led to the decline of money multiplier in all major currency areas. However, the post-crisis policy reactions made the situation worse. First, to prevent similar crises in future, financial regulations were seriously tightened, which made financial intermediation more expensive and forced banks and non-banking financial institutions to limit their operations (at least temporarily) to meet the new prudential standards (Dabrowski, 2015b). Regretfully, this deflationary side effect of the new regulatory regime was rarely understood and recognised by those who were in charge of setting the new standards and the timetable of their adoption. We do not question the necessity of conducting a deep overhaul of financial regulation and the political economy rationale of using the window of opportunity for such reforms, just the aftermath of the financial crisis. However, in some cases, setting longer timetables for the adoption of new standards could soften their deflationary impact. Second, concerning monetary policy, central banks had to compensate for the decline in the money multiplier with the rapid expansion of their reserve money (monetary bases) to avoid a deflationary spiral and a deep depression of the kind experienced in 1929‒1933. In the environment where interest rates had already hit the zero-level bound and commercial banks were reluctant to expand their credit actions, the only reliable solution was direct purchases of government and commercial securities on the secondary market (QE). This strategy proved effective and the goal of avoiding a deflationary spiral was accomplished. However, it produced several side effects, some of them rather unexpect- ed and definitely undesirable. These side effects included further discouraging financial intermediation and a further decline in the money multiplier. 5.  Summary and conclusions
  • 47. CASE Reports | No. 494 (2018) 47 While the rationale of QE cannot be questioned, it came too late in the EA and Japan and has continued for too long. The US Fed, which began tapering its QE in the last quarter of 2013 and then started to hike interest rates, finally declaring its willingness to gradually reduce its balance sheets, still has a long way to go to normalise its monetary policy. The ECB and the Bank of Japan are even further from this perspective. Other deflationary factors such as the decreasing money velocity and the collapse of commodity prices in 2014‒2015 must be mentioned; although, their impact was smaller than that of the decline in the money multiplier. However, in 2016‒2017, economic and monetary conditions started to change: most AE, including the EA, entered a path of economic growth and have either already closed or are about to close the negative output gap. There are signs of rising inflationary pressures, in particular, on asset markets. The post-crisis deflationary factors are gradually disappearing. Commodity prices have started to increase again, although moderately. The money multiplier and money velocity are unlikely to continue their decline and may start recovering soon, reflecting greater consumer and investment optimism and faster credit growth (on the back of higher growth). This means that major central banks, including the ECB, should prepare themselves to deal with potential inflationary pressures, which were largely absent in the last decade, and intensify their work on departing from unconventional monetary policy measures.
  • 48. CASE Working Paper | No 1 (2015) 48 Andersson, Fredrik NG (2011): “Monetary Policy, Asset Price Inflation and Consumer Price Inflation”. Economics Bulletin, Vol. 31, Issue 1, January. Available at https://www.research- gate.net/publication/227410450_Monetary_Policy_Asset_Price_Inflation_and_Consum- er_Price_Inflation Armstrong, Shiro, and Tatsuyoshi Okimoto (2016): “Fiscal Sustainability in Japan”. Asia and the Pacific Policy Studies, vol. 3, no. 2, pp. 235–243, May. Available at http://onlinelibrary. wiley.com/doi/10.1002/app5.133/epdf Bryan, Michael F., Stephen G. Cecchetti, and Roisin O’Sullivan (2002): “Asset Prices in the Measurement of Inflation”. NBER Working Paper, No. 8700, January. Available at http://www.nber.org/papers/w8700.pdf Dabrowski, Marek (2010): “The Global Financial Crisis: Lessons for European Integration”. Economic Systems, Vol. 34 (2010), Issue 1, pp. 38–54. Available at http://www.science- direct.com/science/article/pii/S093936251000004X/pdfft?md5=64da8ecccd7f0b30feba- d2a70d60c3cd&pid=1-s2.0-S093936251000004X-main.pdf Dabrowski, Marek (2015a). “Monetary Union and Fiscal and Macroeconomic Governance”. European Economy Discussion Papers, No. 13/2015, September. Available at http://ec.eu- ropa.eu/economy_finance/publications/eedp/pdf/dp013_en.pdf Dabrowski, Marek (2015b): “Interaction between monetary policy and bank regulation. In-depth analysis”. Briefing paper prepared for the European Parliament’s Committee on Economic and Monetary Affairs (Monetary Dialogue), IP/A/ECON/2015-07, September. Available at http://www.europarl.europa.eu/cmsdata/105462/IPOL_IDA(2015)563458_ EN.pdf ECB (2011): “The Monetary Policy of the ECB”. European Central Bank. Available at https://www.ecb.europa.eu/pub/pdf/other/monetarypolicy2011en.pdf?806851948a- caa66136356457a4641a6c European Commission (2018): “European Economic Forecast Winter 2018 (Interim)”. Euro- pean Economy – Institutional Paper, No. 073, February 7. European Commission. Available at https://ec.europa.eu/info/sites/info/files/economy-finance/ip073_en.pdf Goodhart, Charles (2001): “What Weight Should be Given to Asset Prices in the Measurement of Inflation?”. The Economic Journal, Vol. 111 (472), pp. 335–356. Available at http://onlinelibrary.wiley.com/doi/10.1111/1468-0297.00634/pdf References
  • 49. CASE Reports | No. 494 (2018) 49 Gordon, Robert J. (2016): “The Rise and Fall of American Growth. The US Standard of Living Since the Civil War”. Princeton and Oxford: Oxford University Press IMF (2017a): “World Economic Outlook: Seeking Sustainable Growth: Short-Term Recovery, Long-Term Challenges”. October 2017. Washington, DC: International Monetary Fund. Available at http://www.imf.org/~/media/Files/Publications/WEO/2017/October/ pdf/main-chapter/text.ashx?la=en IMF (2017b): “Europe: Europe Hitting Its Stride”, Regional Economic Outlook, November, Washington, DC: International Monetary Fund. Available at http://www.imf.org/~/media/ Files/Publications/REO/EUR/2017/November/eur-booked-print.ashx?la=en IMF (2018): “World Economic Outlook Update: Brighter Prospects, Optimistic Markets, Challenges Ahead”. January 2018. Washington, DC: International Monetary Fund. Available at http://www.imf.org/~/media/Files/Publications/WEO/2018/Update/January/0118.ashx Issing, Otmar (2003): “Monetary and Financial Stability: Is there a Trade-off?”, speech at the European Central Bank Conference on “Monetary Stability, Financial Stability and the Business Cycle”, March 28-29, Bank for International Settlements, Basle. Available at https://www.ecb.europa.eu/press/key/date/2003/html/sp030329.en.html Ito, Takatoshi, and Frederic S. Mishkin (2004): “Two Decades of Japanese Monetary Policy and the Deflation Problem”. NBER Working Paper, No. 10878., November. Available at http://www.nber.org/papers/w10878.pdf Krugman, Paul (1998): “Japan’s Trap”, mimeo, May. Available at http://web.mit.edu/krug- man/www/japtrap.html Murphy, R. Taggart (2016): “Rethinking Japan’s Deflation Trap: On the Failure to Reach Kuroda Haruhiko’s 2% Inflation Target”. The Asia-Pacific Journal, Vol. 14, Issue 3, No. 4, February 1. Available at http://apjjf.org/2016/03/Murphy.html Roach, Stephen S. (2017): “Another Lesson from Japan”. Project Syndicate, 26 June 2017. Available at https://www.project-syndicate.org/commentary/advanced-economies-low-in- flation-weak-demand-by-stephen-s--roach-2017-06