This document provides an introduction and background on the determinants of residential real estate prices in Kenya. It discusses several factors that can influence residential real estate prices, including interest rates, GDP, money supply, and inflation rate. The research problem is identified as determining the relative relationship and impact of these key factors on house prices in Kenya. The objective is to investigate the determinants of residential real estate prices. The study is expected to provide valuable insights for real estate investors, homeowners, financing institutions, and the government.
This document summarizes a presentation about the relationship between growth and inflation. It discusses theories like demand-pull inflation, cost-push inflation, the Phillips curve, and the financial accelerator model. It explains concepts such as NAIRU and how recessions are caused by factors like supply shocks, high wages, and financial crises. The document argues that the synthesis view fits well with a central banker's role in using monetary policy to stabilize the economy while preventing inflation.
With China’s rapid economic growth in recent years and the acceleration of urbanization, the real estate price has
also shown a substantial increase, especially the housing prices have always been high in first-tier cities. This paper
systematically combs the research on the factors affecting house price and the forecasting method of house price at
home and abroad, and puts forward some suggestions on the regulation and control of real estate price in our
country. It also points out the deficiency of data statistics and research perspective in empirical research. On this
basis, it is proposed that we should strengthen the scientificalness and comprehensiveness of the empirical data, put
forward a reasonable and appropriate hierarchical classification method for influencing factors, make clear the
importance and coupling mechanism of each level, and excavate the dominant influencing factors.
HLEG thematic workshop on "Intra-generational and Inter-generational Sustaina...StatsCommunications
Presentation at the HLEG thematic workshop on "Intra-generational and Inter-generational Sustainability", 22-23 September 2014, Rome, Italy, http://oe.cd/StrategicForum2014
An empirical analysis of the structure and growth of federal government expen...Alexander Decker
This document summarizes a study that examined the structure and growth of federal government expenditure in Nigeria from 1970 to 2009. The study used time series data and ordinary least squares regression analysis. The results revealed that several factors contributed to the growth of government expenditure in Nigeria over this period, including fiscal deficit, gross domestic product, government revenue, and debt servicing. The study recommends that the government maintain fiscal discipline, prevent high inflation, and ensure productive use of revenue to help reduce growth in government spending.
This document summarizes a study that analyzed the impact of several macroeconomic indicators (money supply, exchange rate, oil prices, and interest rate) on inflation in Kenya from 2003-2013. Using vector error correction modeling and Granger causality tests, the study found that:
1) All variables except exchange rate had positive and significant effects on inflation in the long run.
2) In the short run, only interest rates and money supply significantly impacted inflation.
3) Changes in inflation Granger caused changes in oil prices, and changes in interest rates Granger caused changes in inflation.
4) The study concluded inflation in Kenya is triggered by both demand and supply factors, but money supply and oil prices are
The document discusses how and why the market value of commercial property can rise and fall over time. It states that capital values are determined by factors like yields, rental values, growth expectations, and the performance of the economy. These factors are influenced by occupiers, developers, investors, and external economic conditions. The financial crisis from 2008-2009 caused commercial property values to fall significantly due to a drop in demand from occupiers and investors, an increase in vacant properties, and a slowdown in rental growth. Government actions like lowering interest rates helped stimulate a recovery. Proactive property management can improve returns by influencing rental values and occupancy rates.
1) The document analyzes macroeconomic variables like interest rates, exchange rates, money supply, inflation expectations, GDP, and inflation in China, India, Vietnam, and Indonesia from 2000 to 2017 to determine leading indicators of economic stability.
2) The ARDL panel analysis shows that leading indicators of controlling economic stability differ across countries. For India it is interest rates, exchange rates, money supply, inflation expectations, and GDP. For Vietnam it is interest rates, money supply, and GDP. For Indonesia it is interest rates and money supply, and for China it is money supply.
3) The analysis finds that money supply has a significant effect on inflation in the panel as a whole, but results vary by country
This document summarizes a presentation about the relationship between growth and inflation. It discusses theories like demand-pull inflation, cost-push inflation, the Phillips curve, and the financial accelerator model. It explains concepts such as NAIRU and how recessions are caused by factors like supply shocks, high wages, and financial crises. The document argues that the synthesis view fits well with a central banker's role in using monetary policy to stabilize the economy while preventing inflation.
With China’s rapid economic growth in recent years and the acceleration of urbanization, the real estate price has
also shown a substantial increase, especially the housing prices have always been high in first-tier cities. This paper
systematically combs the research on the factors affecting house price and the forecasting method of house price at
home and abroad, and puts forward some suggestions on the regulation and control of real estate price in our
country. It also points out the deficiency of data statistics and research perspective in empirical research. On this
basis, it is proposed that we should strengthen the scientificalness and comprehensiveness of the empirical data, put
forward a reasonable and appropriate hierarchical classification method for influencing factors, make clear the
importance and coupling mechanism of each level, and excavate the dominant influencing factors.
HLEG thematic workshop on "Intra-generational and Inter-generational Sustaina...StatsCommunications
Presentation at the HLEG thematic workshop on "Intra-generational and Inter-generational Sustainability", 22-23 September 2014, Rome, Italy, http://oe.cd/StrategicForum2014
An empirical analysis of the structure and growth of federal government expen...Alexander Decker
This document summarizes a study that examined the structure and growth of federal government expenditure in Nigeria from 1970 to 2009. The study used time series data and ordinary least squares regression analysis. The results revealed that several factors contributed to the growth of government expenditure in Nigeria over this period, including fiscal deficit, gross domestic product, government revenue, and debt servicing. The study recommends that the government maintain fiscal discipline, prevent high inflation, and ensure productive use of revenue to help reduce growth in government spending.
This document summarizes a study that analyzed the impact of several macroeconomic indicators (money supply, exchange rate, oil prices, and interest rate) on inflation in Kenya from 2003-2013. Using vector error correction modeling and Granger causality tests, the study found that:
1) All variables except exchange rate had positive and significant effects on inflation in the long run.
2) In the short run, only interest rates and money supply significantly impacted inflation.
3) Changes in inflation Granger caused changes in oil prices, and changes in interest rates Granger caused changes in inflation.
4) The study concluded inflation in Kenya is triggered by both demand and supply factors, but money supply and oil prices are
The document discusses how and why the market value of commercial property can rise and fall over time. It states that capital values are determined by factors like yields, rental values, growth expectations, and the performance of the economy. These factors are influenced by occupiers, developers, investors, and external economic conditions. The financial crisis from 2008-2009 caused commercial property values to fall significantly due to a drop in demand from occupiers and investors, an increase in vacant properties, and a slowdown in rental growth. Government actions like lowering interest rates helped stimulate a recovery. Proactive property management can improve returns by influencing rental values and occupancy rates.
1) The document analyzes macroeconomic variables like interest rates, exchange rates, money supply, inflation expectations, GDP, and inflation in China, India, Vietnam, and Indonesia from 2000 to 2017 to determine leading indicators of economic stability.
2) The ARDL panel analysis shows that leading indicators of controlling economic stability differ across countries. For India it is interest rates, exchange rates, money supply, inflation expectations, and GDP. For Vietnam it is interest rates, money supply, and GDP. For Indonesia it is interest rates and money supply, and for China it is money supply.
3) The analysis finds that money supply has a significant effect on inflation in the panel as a whole, but results vary by country
A Dynamic Analysis of the Impact of Capital Flight on Real Exchange Rate in N...iosrjce
This study examines the dynamic effect of capital flight on the real exchange rate of the naira.
Specifically this study seeks to investigate if a long-run relationship exists between real exchange rate and
capital flight in Nigeria. This will be done using quarterly time series data covering the period 1981 to 2009. In
this process the short-run dynamics of the interactions between the two variables will be analyzed.
Macroeconomic stability in the DRC: highlighting the role of exchange rate an...IJRTEMJOURNAL
This study is part of a macroeconomic approach and seeks to identify the role of the rate of
economic growth and the exchange rate in controlling the macroeconomic framework. The approaches adopted
in this paper are part of Keynesian thinking on macroeconomic stability using the macroeconomic stability
index proposed by Burnside and Dollars (2004) and A. Amine (2005). Our results argue that economic growth
is causing macroeconomic stability and that the exchange rate is negatively and significantly accounting for
macroeconomic stability in the Democratic Republic of Congo.
This document analyzes the relationship between inflation and economic growth in Bangladesh from 1980 to 2014. It finds that inflation has negatively impacted growth when inflation rates are very high, such as over 20%. However, moderate inflation rates between 3-8% appear correlated with higher economic growth of around 5-6%. The relationship between inflation and growth is non-linear, with inflation potentially stimulating growth up to a certain threshold, after which high inflation hinders growth. Understanding this relationship is important for Bangladesh's central bank in conducting monetary policy.
Here is a draft essay in response to the question:
Part A
There are several possible causes of inflation. Demand-pull inflation can occur when there is excess demand in the economy, pushing up prices as demand outstrips supply. This may be caused by monetary factors such as an increase in the money supply or low interest rates stimulating spending. Cost-push inflation arises from rising production costs for firms, such as increased wage costs due to higher inflation expectations, or rising import prices. Supply shocks such as an oil price rise can also push up costs. Keynes argued that government spending could cause demand-pull inflation by directly injecting money into the economy. Monetarists argue that in the long-run, inflation is always
The Effect of Real Exchange Rate on Economic DevelopmentBatola David
Interest rate is a closely watched variable in the economy, their movements are reported almost daily by news media because they directly affect our everyday lives and have important consequence for the health of the economy and it is important macroeconomic variables for economic growth, they affect personal decisions such as whether to consume or to save, whether to buy a house and whether to purchase bonds or put funds into a saving account. This paper investigates the effects of real exchange rate on economic growth in Ghana over the period 1975 to 2015 using quarterly time series data. Specifically, it examines the extent to which real exchange rate has on the growth rates of the country reflecting real GDP, inflation rate and interest. The study, therefore, employs the co-integration analysis within the framework of Vector Autoregressive (VAR) to empirically investigate the effects of real exchange rate on real GDP growth in the country.
Monetary policy determines the supply and availability of money in an economy in order to achieve objectives like economic growth and price stability. It is implemented by central banks and involves managing interest rates and the money supply. When the economy is slowing, monetary policy aims to increase the money supply and lower rates to boost aggregate demand. When inflation is high, it seeks to tighten the money supply or raise rates to reduce aggregate spending. The goals are macroeconomic stability with low unemployment and inflation alongside steady growth.
1) Zimbabwe experienced hyperinflation from 1998-2008, with inflation reaching 66,200% by 2007, the second highest recorded rate in history.
2) The hyperinflation was caused by the central bank excessively printing money and lending it to state-owned enterprises and private entities, effectively hiding the large fiscal deficit.
3) Some groups, like those with connections to state enterprises, benefited from arbitraging the dual exchange rates, but most Zimbabweans suffered from the hyperinflation.
This document discusses key concepts in managerial economics including business cycles, monetary policy, and costs. It provides the following information:
1) It describes the four phases of a typical business cycle: contraction, trough, expansion, and peak. The National Bureau of Economic Research determines the business cycle stages by analyzing economic indicators like GDP growth.
2) It defines monetary policy as the measures taken by central banks to manage money supply, interest rates, and credit conditions to achieve economic objectives. Common monetary policy tools include reserve requirements, interest rates, and open market operations.
3) It explains the difference between implicit costs (opportunity costs of using own resources) and explicit costs (direct payments) as well as
1. The document outlines a framework for analyzing macroeconomic problems using basic macroeconomic models.
2. It describes the typical components of analysis: a starting point, a pivotal event that causes change, and secondary and long-run effects of that event.
3. The analysis uses macroeconomic models like aggregate demand and aggregate supply to evaluate how various factors can shift curves and affect output and inflation in both the short-run and long-run.
Empirical Analysis of Fiscal Dominance and the Conduct of Monetary Policy in ...AJHSSR Journal
The study empirically investigates fiscal dominance and the conduct of monetary policy in
Nigeria, using quarterly data from 1986Q1 to 2016Q4. It adopts the vector error correction mechanism (VECM)
and cointegration technique to analyze the data and make inference. The findings reveal that there is no
evidence of fiscal dominance in Nigeria. The empirical results show that budget deficit, domestic debt and
money supply have no significant influence on the average price level. However, budget deficit and domestic
debt are shown to have significant influence on money supply, but only in the short-run. The policy implication
is that the government should enforce fiscal discipline through the appropriate institution and the Central Bank
should be given autonomy to perform the primary function of long-term price stability, among other functions.
The study tried to examine the effect of environmental forces on foreign exchange market in Nigeria. The PEST- Political variables such as change in government (CIG) and democratic rule (DMR); Economical variables such as interest rate spread (IRS) and inflation in consumer prices (ICP); Social variable like population growth (PGR); and Technological variables such as fuel exports in merchandise (FEM) and technology export (TEX) were used to evaluate the impact these environmental factors have on foreign exchange market (official exchange rate). This study employed a time series data with the time frame 1973-2015. A multiple regression model was developed and analyzed using the ordinary least square method (OLS) with the help of E-views, a statistical package. The result showed that in isolation, IRS, FEM and DMR significantly influenced dealing rates in the Nigerian foreign exchange market while ICP, CIG, PGR, and TEX did not show any significant influence on foreign exchange market in Nigeria. However, the overall result showed a significant positive relationship between the environmental forces and the foreign exchange market in Nigeria with a p -value of 0.000000. We therefore concluded that environmental factors have significant influence on the Nigerian Foreign Exchange market. Hence, we recommended that relevant stake holders should pay proper attention to those environmental factors with significant impact on our Foreign Exchange Market in Nigeria.
Mla style essay one aspect of the current economic crisisCustomEssayOrder
This document discusses inflation as an economic crisis affecting the world. It defines inflation as a general increase in prices of goods and services over time, forcing consumers to pay more for less. The document then examines problems caused by inflation like a loss of monetary value, inability to predict future inflation, and shortage of goods. It also explores causes of inflation such as excess money printing, national debts, rising production costs, and wars. Finally, the document proposes solutions like fiscal and monetary policy controls, and reducing international debt dependence, to curb inflation reoccurrence.
The document discusses inflation in India and fiscal tools to control it. It provides definitions of inflation and discusses various causes of inflation including demand-pull inflation and cost-push inflation. It also outlines different types of inflation and discusses the inflation rate in India. The document then examines the role of fiscal policy tools like reducing public expenditure, increasing tax revenues, and increasing the supply of goods and services as ways for the government to control inflation. However, it notes that the scope to significantly reduce public expenditure or withdraw purchasing power through taxation is limited for developing countries. The most effective fiscal policy is focused on increasing incentives for private investment and production to ultimately increase the supply of goods.
The document discusses using the Mundell-Fleming model to predict patterns of macroeconomic stability in Indonesia. It analyzes the interaction of fiscal and monetary policy variables on GDP, investment, inflation, and exchange rates from 2000-2014. The analysis uses a vector autoregression model to predict the effects in the short, medium and long term. It finds that tax policies were more effective than government spending at controlling growth, investment and inflation, while government spending more effectively controlled exchange rates. Interest rates more effectively controlled inflation and exchange rates, while money supply was more effective at GDP and investment.
Government budget control under the period of inflation: Evidence from Madaga...iosrjce
Madagascar is rich in resource undermine, maritime and natural but have been experiencing
Inflation now for more than four decades. Many studies and papers talk about the relationship between Inflation
and Budget Deficit. This paper seeks to test the hypothesis that budget control explicated by the budget deficit
cause inflation in Madagascar with some variable economically affect the inflation such as Gross Domestic
Product, exchange rate, Money supply, budget deficits and political crises that is during a thirty-three years
period: from 1981to 2014. The methodology employed for estimating long-run relationship is Augmented Ducky
Fuller test for a stationary data then cointegration analysis, with undertaking Granger causality tests. The
findings of the study are Malagasy Budget control is not inflationary and the inflation didn’t explain the budget
control. But the variable that cause the inflation in Madagascar are the Political Crises and Money Supply
Critical Evaluation Of The Success Of Monetary PoliciesArzu ALVAN
The document discusses monetary policy and inflation in Turkey after 1980. It analyzes the relationship between inflation and monetary policy tools like money supply, required reserve ratio, and discount rate using Granger causality analysis. The results show bilateral causality between money supply and inflation, with money supply and required reserve ratio affecting inflation within 1 year and discount rate affecting inflation after around 4 years. It also finds that increases in inflation lead to increased money demand and money supply, fueling further price increases in Turkey.
The document provides information about managerial economics assignments for semester 1. It includes questions and answers on topics such as:
1. Describing the different phases of the business cycle including contraction, trough, expansion, and peak.
2. Explaining monetary policy objectives and instruments, including changes to reserve ratios, interest rates, exchange rates, and open market operations.
3. Calculating the price elasticity of supply using data about pen production and prices.
4. Defining implicit costs as opportunity costs of using self-owned factors, and explicit costs as direct payments, and also defining actual and opportunity costs.
The document discusses several macroeconomic problems including capital and labor misallocation, inflation, and business cycles. It defines inflation and its types. Moderate inflation can boost growth but high inflation is harmful. Measures to control inflation include monetary, fiscal and income policies. Business cycles consist of expansion, peak, recession, trough and recovery phases, though their timing and severity vary. No single measure can adequately curb inflation and both monetary and fiscal approaches are needed.
This document discusses inflation, how it is measured, its impacts on corporate finance, and remedies. It provides definitions of inflation and how it is measured using consumer price index and wholesale price index in India. It then outlines various monetary and fiscal policy measures governments can take to control inflation, and how inflation affects asset valuation, firm value, financial returns, and financial analysis. It concludes by discussing how inflation impacts capital budgeting decisions.
El documento proporciona información sobre el descubrimiento y exploración del sistema solar, las características generales de los objetos que lo componen como planetas, planetas enanos y satélites. Explica también las distancias de los planetas al sol y los diferentes tipos de cuerpos menores como asteroides y cometas.
A Dynamic Analysis of the Impact of Capital Flight on Real Exchange Rate in N...iosrjce
This study examines the dynamic effect of capital flight on the real exchange rate of the naira.
Specifically this study seeks to investigate if a long-run relationship exists between real exchange rate and
capital flight in Nigeria. This will be done using quarterly time series data covering the period 1981 to 2009. In
this process the short-run dynamics of the interactions between the two variables will be analyzed.
Macroeconomic stability in the DRC: highlighting the role of exchange rate an...IJRTEMJOURNAL
This study is part of a macroeconomic approach and seeks to identify the role of the rate of
economic growth and the exchange rate in controlling the macroeconomic framework. The approaches adopted
in this paper are part of Keynesian thinking on macroeconomic stability using the macroeconomic stability
index proposed by Burnside and Dollars (2004) and A. Amine (2005). Our results argue that economic growth
is causing macroeconomic stability and that the exchange rate is negatively and significantly accounting for
macroeconomic stability in the Democratic Republic of Congo.
This document analyzes the relationship between inflation and economic growth in Bangladesh from 1980 to 2014. It finds that inflation has negatively impacted growth when inflation rates are very high, such as over 20%. However, moderate inflation rates between 3-8% appear correlated with higher economic growth of around 5-6%. The relationship between inflation and growth is non-linear, with inflation potentially stimulating growth up to a certain threshold, after which high inflation hinders growth. Understanding this relationship is important for Bangladesh's central bank in conducting monetary policy.
Here is a draft essay in response to the question:
Part A
There are several possible causes of inflation. Demand-pull inflation can occur when there is excess demand in the economy, pushing up prices as demand outstrips supply. This may be caused by monetary factors such as an increase in the money supply or low interest rates stimulating spending. Cost-push inflation arises from rising production costs for firms, such as increased wage costs due to higher inflation expectations, or rising import prices. Supply shocks such as an oil price rise can also push up costs. Keynes argued that government spending could cause demand-pull inflation by directly injecting money into the economy. Monetarists argue that in the long-run, inflation is always
The Effect of Real Exchange Rate on Economic DevelopmentBatola David
Interest rate is a closely watched variable in the economy, their movements are reported almost daily by news media because they directly affect our everyday lives and have important consequence for the health of the economy and it is important macroeconomic variables for economic growth, they affect personal decisions such as whether to consume or to save, whether to buy a house and whether to purchase bonds or put funds into a saving account. This paper investigates the effects of real exchange rate on economic growth in Ghana over the period 1975 to 2015 using quarterly time series data. Specifically, it examines the extent to which real exchange rate has on the growth rates of the country reflecting real GDP, inflation rate and interest. The study, therefore, employs the co-integration analysis within the framework of Vector Autoregressive (VAR) to empirically investigate the effects of real exchange rate on real GDP growth in the country.
Monetary policy determines the supply and availability of money in an economy in order to achieve objectives like economic growth and price stability. It is implemented by central banks and involves managing interest rates and the money supply. When the economy is slowing, monetary policy aims to increase the money supply and lower rates to boost aggregate demand. When inflation is high, it seeks to tighten the money supply or raise rates to reduce aggregate spending. The goals are macroeconomic stability with low unemployment and inflation alongside steady growth.
1) Zimbabwe experienced hyperinflation from 1998-2008, with inflation reaching 66,200% by 2007, the second highest recorded rate in history.
2) The hyperinflation was caused by the central bank excessively printing money and lending it to state-owned enterprises and private entities, effectively hiding the large fiscal deficit.
3) Some groups, like those with connections to state enterprises, benefited from arbitraging the dual exchange rates, but most Zimbabweans suffered from the hyperinflation.
This document discusses key concepts in managerial economics including business cycles, monetary policy, and costs. It provides the following information:
1) It describes the four phases of a typical business cycle: contraction, trough, expansion, and peak. The National Bureau of Economic Research determines the business cycle stages by analyzing economic indicators like GDP growth.
2) It defines monetary policy as the measures taken by central banks to manage money supply, interest rates, and credit conditions to achieve economic objectives. Common monetary policy tools include reserve requirements, interest rates, and open market operations.
3) It explains the difference between implicit costs (opportunity costs of using own resources) and explicit costs (direct payments) as well as
1. The document outlines a framework for analyzing macroeconomic problems using basic macroeconomic models.
2. It describes the typical components of analysis: a starting point, a pivotal event that causes change, and secondary and long-run effects of that event.
3. The analysis uses macroeconomic models like aggregate demand and aggregate supply to evaluate how various factors can shift curves and affect output and inflation in both the short-run and long-run.
Empirical Analysis of Fiscal Dominance and the Conduct of Monetary Policy in ...AJHSSR Journal
The study empirically investigates fiscal dominance and the conduct of monetary policy in
Nigeria, using quarterly data from 1986Q1 to 2016Q4. It adopts the vector error correction mechanism (VECM)
and cointegration technique to analyze the data and make inference. The findings reveal that there is no
evidence of fiscal dominance in Nigeria. The empirical results show that budget deficit, domestic debt and
money supply have no significant influence on the average price level. However, budget deficit and domestic
debt are shown to have significant influence on money supply, but only in the short-run. The policy implication
is that the government should enforce fiscal discipline through the appropriate institution and the Central Bank
should be given autonomy to perform the primary function of long-term price stability, among other functions.
The study tried to examine the effect of environmental forces on foreign exchange market in Nigeria. The PEST- Political variables such as change in government (CIG) and democratic rule (DMR); Economical variables such as interest rate spread (IRS) and inflation in consumer prices (ICP); Social variable like population growth (PGR); and Technological variables such as fuel exports in merchandise (FEM) and technology export (TEX) were used to evaluate the impact these environmental factors have on foreign exchange market (official exchange rate). This study employed a time series data with the time frame 1973-2015. A multiple regression model was developed and analyzed using the ordinary least square method (OLS) with the help of E-views, a statistical package. The result showed that in isolation, IRS, FEM and DMR significantly influenced dealing rates in the Nigerian foreign exchange market while ICP, CIG, PGR, and TEX did not show any significant influence on foreign exchange market in Nigeria. However, the overall result showed a significant positive relationship between the environmental forces and the foreign exchange market in Nigeria with a p -value of 0.000000. We therefore concluded that environmental factors have significant influence on the Nigerian Foreign Exchange market. Hence, we recommended that relevant stake holders should pay proper attention to those environmental factors with significant impact on our Foreign Exchange Market in Nigeria.
Mla style essay one aspect of the current economic crisisCustomEssayOrder
This document discusses inflation as an economic crisis affecting the world. It defines inflation as a general increase in prices of goods and services over time, forcing consumers to pay more for less. The document then examines problems caused by inflation like a loss of monetary value, inability to predict future inflation, and shortage of goods. It also explores causes of inflation such as excess money printing, national debts, rising production costs, and wars. Finally, the document proposes solutions like fiscal and monetary policy controls, and reducing international debt dependence, to curb inflation reoccurrence.
The document discusses inflation in India and fiscal tools to control it. It provides definitions of inflation and discusses various causes of inflation including demand-pull inflation and cost-push inflation. It also outlines different types of inflation and discusses the inflation rate in India. The document then examines the role of fiscal policy tools like reducing public expenditure, increasing tax revenues, and increasing the supply of goods and services as ways for the government to control inflation. However, it notes that the scope to significantly reduce public expenditure or withdraw purchasing power through taxation is limited for developing countries. The most effective fiscal policy is focused on increasing incentives for private investment and production to ultimately increase the supply of goods.
The document discusses using the Mundell-Fleming model to predict patterns of macroeconomic stability in Indonesia. It analyzes the interaction of fiscal and monetary policy variables on GDP, investment, inflation, and exchange rates from 2000-2014. The analysis uses a vector autoregression model to predict the effects in the short, medium and long term. It finds that tax policies were more effective than government spending at controlling growth, investment and inflation, while government spending more effectively controlled exchange rates. Interest rates more effectively controlled inflation and exchange rates, while money supply was more effective at GDP and investment.
Government budget control under the period of inflation: Evidence from Madaga...iosrjce
Madagascar is rich in resource undermine, maritime and natural but have been experiencing
Inflation now for more than four decades. Many studies and papers talk about the relationship between Inflation
and Budget Deficit. This paper seeks to test the hypothesis that budget control explicated by the budget deficit
cause inflation in Madagascar with some variable economically affect the inflation such as Gross Domestic
Product, exchange rate, Money supply, budget deficits and political crises that is during a thirty-three years
period: from 1981to 2014. The methodology employed for estimating long-run relationship is Augmented Ducky
Fuller test for a stationary data then cointegration analysis, with undertaking Granger causality tests. The
findings of the study are Malagasy Budget control is not inflationary and the inflation didn’t explain the budget
control. But the variable that cause the inflation in Madagascar are the Political Crises and Money Supply
Critical Evaluation Of The Success Of Monetary PoliciesArzu ALVAN
The document discusses monetary policy and inflation in Turkey after 1980. It analyzes the relationship between inflation and monetary policy tools like money supply, required reserve ratio, and discount rate using Granger causality analysis. The results show bilateral causality between money supply and inflation, with money supply and required reserve ratio affecting inflation within 1 year and discount rate affecting inflation after around 4 years. It also finds that increases in inflation lead to increased money demand and money supply, fueling further price increases in Turkey.
The document provides information about managerial economics assignments for semester 1. It includes questions and answers on topics such as:
1. Describing the different phases of the business cycle including contraction, trough, expansion, and peak.
2. Explaining monetary policy objectives and instruments, including changes to reserve ratios, interest rates, exchange rates, and open market operations.
3. Calculating the price elasticity of supply using data about pen production and prices.
4. Defining implicit costs as opportunity costs of using self-owned factors, and explicit costs as direct payments, and also defining actual and opportunity costs.
The document discusses several macroeconomic problems including capital and labor misallocation, inflation, and business cycles. It defines inflation and its types. Moderate inflation can boost growth but high inflation is harmful. Measures to control inflation include monetary, fiscal and income policies. Business cycles consist of expansion, peak, recession, trough and recovery phases, though their timing and severity vary. No single measure can adequately curb inflation and both monetary and fiscal approaches are needed.
This document discusses inflation, how it is measured, its impacts on corporate finance, and remedies. It provides definitions of inflation and how it is measured using consumer price index and wholesale price index in India. It then outlines various monetary and fiscal policy measures governments can take to control inflation, and how inflation affects asset valuation, firm value, financial returns, and financial analysis. It concludes by discussing how inflation impacts capital budgeting decisions.
El documento proporciona información sobre el descubrimiento y exploración del sistema solar, las características generales de los objetos que lo componen como planetas, planetas enanos y satélites. Explica también las distancias de los planetas al sol y los diferentes tipos de cuerpos menores como asteroides y cometas.
UC Clermont's Business, Law and Technology Department received the 2015 University of Cincinnati's Marian Spencer Diversity Ambassador Award for its efforts promoting diversity and inclusion since 2011. The department has made efforts to increase sensitivity to different cultures through various programs and increasing minority representation among faculty. The award recognizes the department's work in improving diversity and preparing students for a global workforce.
The Drona Carvy is a high resolution desktop 3D printer with one of the largest build sizes available - 290 x 290 x 300 mm. It has a precision of 27 microns in XY and 50-200 microns in Z. It uses FFF technology with a 0.4 mm nozzle and can print at speeds up to 120 mm/s. Filaments supported include PLA, ABS, PVA, HIPS and wood. Additional upgrades include auto bed leveling, dual extruders, and wireless operation via Octoprint. It is designed for stability and tweaked for professionals.
Este documento describe la serie Juego de Tronos. Habla sobre el creador George R.R. Martin, la serie de libros en la que se basa, y la exitosa serie de televisión de HBO adaptada de los libros. La serie de televisión se centra en las luchas dinásticas por el Trono de Hierro en el continente ficticio de Poniente y ha tenido 5 temporadas hasta ahora.
This document discusses the importance of proper nutrition and exercise for health and well-being. It recommends eating a balanced diet with plenty of fruits and vegetables, staying hydrated, and engaging in regular physical activity. Maintaining a healthy lifestyle can help reduce the risk of disease and allow one to feel their best.
"It's not about a program, but a process" is what being incarnational (that is, truth in the flesh) leads us to become as we minister to youth. I would love to come to your group and speak about this important lifestyle. This was developed after my attending a wonderful master's level class at IWU for a training session of volunteers I was to lead.
analysing the celebrated buildings of star architects and using a different perspective to look at buildings. For any queries please feel free to mail me at nathigale@gmail.com
comment in the section below, if you want the soft copy! :)
Want to get a brief overview of real estate trends and insights then you are the right place https://www.averickmedia.com/database/real-estate-email-list
This document summarizes a study that investigated factors influencing real estate property prices in Meru Municipality, Kenya. The study used a descriptive research design and questionnaires to collect data from 390 real estate owners. The findings showed that incomes contributed 70% of variations in prices, while demand contributed 20%. Location and realtors were found to be insignificant in determining prices. A regression model explained about 70% of variations in prices. The study recommends further investigation into why location and realtors did not significantly impact prices in Meru municipality.
CAPITAL MARKET DEVELOPMENT AND INFLATION IN NIGERIAAJHSSR Journal
ABSTRACT :This study examined the impact of inflation and capital market development in Nigeria. The
ultimate objective of the study is centered on an empirical investigation of inflation and its impact on the growth
of the Nigerian capital market, and also the trend of inflation and capital market development in Nigeria. In
order to achieve these objectives, the study used tables and graphs to examine the trend of inflation and capital
market development in Nigeria. Augmented Dickey Fuller unit root test was used to check the behavior of data,
and the ARDL bound test was used to check if variables are cointegrated. Post estimation test which includes
the serial correlation, heteroskedasticity and the histogram normality test was also conducted. Data were
collected from secondary sources, such as central bank of Nigeria statistical bulletin and the world development
indicator. The unit root test revealed that the financial sector, financial intermediaries and interest rate were
stationary at levels but exchange rate, inflation, government spending and trade openness became stationary
after the first difference. Empirical findings confirmed that there is a statistically significant long- and short-run
negative effect of inflation on capital market development. On the contrary, economic growth has a statistically
significant long- and short-run positive impact on capital market performance. In addition, results confirmed
that there is positive support of the previous financial sector policies on capital market performance in the
current period.
The Executive MBA Program with a specialization in Strategy and Leadership is specifically designed for executives and top managers of various companies. It covers all major topics relevant to the successful leadership and management of the organizations. The aim of the Program is to equip professionals with relevant business knowledge and tools in order to improve their own and company’s performance, identify weaknesses and increase efficiency.
This paper investigates the macroeconomic drivers of house
prices in Malaysia using VECM, over a fifteen year period.
The key macroeconomic factors investigated were real
GDP, bank lending rate, Consumer Sentiment, Business
Condition, Money Supply, number of loans approved, Stock
market (KLSE) and Inflation. The macroeconomic factors
found to be significantly related to the Malaysian housing
prices were inflation, Stock Market (KLSE), Money Supply
(M3) and number of residential loans approved. The results
hint at the potential of a housing price bubble as GDP
wasn’t identified as a driver of house prices.
This document summarizes a research paper that analyzes short-run endogenous factors that influence real estate prices in Tirana, Albania using a VAR model. The paper reviews literature on factors influencing real estate markets, including economic indicators like income, construction costs, interest rates, and exchange rates. It then describes the methodology, which involves unit root testing and estimating an unrestricted VAR model to analyze relationships between housing prices and endogenous variables like remittances, the EUR/ALL exchange rate, and a construction index. The empirical analysis applies this methodology to quarterly time series data from 2002-2018 on the Tirana housing market to identify which short-run factors have a statistically significant impact on prices.
The document discusses several key factors that influence real estate market values, including demographics, interest rates, the overall economy, and government policies/subsidies. It then examines these factors in more detail and provides examples of how they impact residential, retail, industrial, and commercial real estate values. Location, price, amenities, and property condition are identified as particularly important determinants of industrial and commercial property marketability.
The document discusses the real estate market in India. It notes that the Indian real estate market has seen significant growth in recent years and continues to boom, with development across residential, commercial, and retail sectors. Major real estate companies going public and large investments from both domestic and foreign investors indicate the potential of the Indian property market. The realestateonline.in website provides a platform for buyers, sellers, and dealers of residential and commercial properties across major Indian cities.
An Analysis on the Influence of Mortgage Rates on Housing Prices - Final DraftCaleb Goettl
This paper analyzes the relationship between mortgage rates and housing prices in the United States using monthly data from January 1973 to August 2015. The author first reviews previous literature which finds that higher mortgage rates negatively impact housing demand and prices. An error correction model is estimated to examine the long-run and short-run effects. Empirical results show virtually no short-run relationship but significant long-run coefficients, though the impact is small. Testing confirms that housing prices, mortgage rates, and gasoline prices (included as another independent variable) are all non-stationary and integrated of order one, requiring the use of cointegration techniques like error correction modeling.
Factors influencing the rise of house price in klang valleyeSAT Journals
Abstract
There is an increase of house price radically in Klang Valley that affect to Malaysian house buyer. House price is the value to be paid for the dealing of buying a residential property. House price rises continuously respecting few factors and had impacting house buyer in decision to buy their house. This study becomes necessary since there is less research that gives information in the factors influencing the rise of house price. The factors are found out through detailed literature reviews and information from pilot study. Pilot study is conducted through interviewing representative from National House Buyer Association, pioneer in solving house related problem, to provide legal suggestion and etc. The data is collected via questionnaire survey form distributed to respondents in sample area. The sample area is Klang Valley region, 10 municipal districts including Kuala Lumpur, the Capital City. In result and analysis stages, the factors had to be refined by analyzing the data using statistical tests. Every single factors are calculated its average index respect to few level of influence under respondents’ opinion. The index will then treated as influencing level of the factors. Based on the study, fluctuation in housing market, increasing in construction cost, population growth and increasing demand are factors which give major influence to rise of house price. The study also identified housing criteria to be considered during setup of house selling price and also preference among house buyer nowadays. This study also identified cost contributors in construction being foresees as control measure concerned in respect to respondents point of view.
Keywords: House price, affordable, and construction cost
1) The document discusses factors that influence the rise of house prices in the Klang Valley region of Malaysia.
2) It identifies key factors like fluctuations in the housing market, increasing construction costs, population growth, and increasing demand as major influences on increasing house prices.
3) The study found that a lack of responsive housing supply to growing demand, high material and land costs, and a shortage of skilled labor in the construction sector contributed to increased construction costs and limited affordable housing options, exacerbating the rise in house prices.
This document examines real estate cycles around the world and discusses lessons that can be learned from booms and busts. It describes how real estate markets experience cyclical fluctuations due to imperfect information and the time lag between demand and new supply. Both speculation and government policies can impact real estate cycles. The document also discusses the stages of a typical real estate cycle, from recovery to prosperity to recession to depression and back to recovery. It analyzes the role of speculation in both fueling booms and helping clear excess inventory during busts. The key lesson is that better information dissemination is needed to avoid speculation manias that can exacerbate real estate cycles.
- The global commercial real estate industry accounts for 78.4% of world GDP and is projected to grow 2% annually for the next 5 years.
- The industry is concentrated in large countries but competition is decentralized within each country. While cross-border investment is growing, most investment remains domestic.
- Significant cultural, administrative, geographic and economic differences between countries promote the localization of the commercial real estate industry within each market. Demand and business practices vary substantially across borders.
The document discusses the causes, effects, and outcomes of the Great Recession that began in 2007. It explores the role of the housing market, subprime loans, credit default swaps, and monetary policy in causing the crisis. The recession significantly impacted the United States, Europe, and global economies. While government actions sought to address the crisis, more may need to be done to prevent future recessions.
This document examines the relationship between macroeconomic variables (interest rate, inflation, exchange rate, and GDP) and share prices on the Nairobi Securities Exchange from 2008 to 2014. It finds that GDP and exchange rates had a positive relationship with share prices, while interest rates had a negative relationship and inflation a significant negative relationship. Overall, the four macroeconomic variables combined had a strong positive and significant relationship with share prices, accounting for 86.97% of changes in share prices. The study concludes that maintaining macroeconomic stability in Kenya is important for optimal stock market performance.
Financial Geographies of Real Estate and HousingAI Publications
This article is about new governments for financial recovery after the financial crisis. The focus on tracing the creation of an active class derived from the security of rental income for detached houses has become rent. The study strategically combines conceptual agendas, and is discussed separately. Market formation theories rooted in scientific and technical studies provide information on the analytical method to pay attention to the work of realizing markets, the role of computer devices in market formation and the conditional and conditional aspects of markets. This analysis shows that renting families in an active class is a practical achievement. However, a broader framework rooted in the political economy is needed to address the broader meaning of the working class in terms of power, politics and the dynamics of capital accumulation. The article focuses in particular on the historical and geographical events that make it possible to invent a large-scale SFR market, the work of state and capital market players to reformulate single-family homes restored as rental properties, and the role of accounting practices in this process, and the strategies of issuers and credit rating agencies to develop a new asset class for institutional investors. The working-class points to the fundamental role for housing in the ideology of capital, and talks about new implications of financial role players and domestic life, as financial accumulation adapts to the context after the crisis. In addition to the financial financing of housing after the crisis, the article also shows how economic geographers can carefully integrate the theoretical perspectives to critically examine the conditions of market formation and the social, spatial and political consequences of markets.
Tey Yong Qing - Prices & High Interest Rates Impact Real Estate Investments?Tey Yong Qing
Tey Yong Qing says High-interest rates increase the interest rate on loans incurred by real estate investors and developers. These disrupt their cash flow, leading to low share price growth
This paper reviews housing markets in 11 countries that are members of the International Housing Association (IHA). It finds that several issues have emerged post-recession, including a lack of affordable low-income housing and improper regulation of mortgage markets. Canada is highlighted as stabilizing its housing market since 2009 through early Bank of Canada intervention and later macroprudential policies that tightened mortgage lending guidelines. The paper also examines factors driving up housing prices in Australia such as resource sector booms lacking adequate planning and infrastructure.
Real estate represents approximately half of the world's total economic wealth. It includes not just homes but also workplaces, commerce locations, worship locations, and more. Real estate investment in India is growing rapidly due to strong economic growth and favorable demographics. While prices rose quickly in recent years, the market is now undergoing some price corrections. However, long-term demand is expected to remain high given India's population and housing shortage. Most real estate transactions now begin online, making internet marketing essential for real estate businesses.
1. CHAPTER ONE - INTRODUCTION
1.1 Background of the Study
The real estate market plays a very important role in any economy. It is known to have a
dramatic multiplier effect and is a key economic indicator. The business dictionary defines
real estate as land and anything fixed, immovable, or permanently attached to it such as
appurtenances, buildings, fences, improvements, roads, shrubs and trees (but not growing
crops), sewers, structures, utility systems and walls. Title to real estate normally includes
title to air rights, and surface rights which can be bought, leased, sold, or transferred
together or separately. It includes improvements, natural resources and structures both
above and below.
The real estate market has experienced significant growth in the last decade. Theoretically,
the condition of a market is driven by forces of demand and supply. Demand refers to how
much (quantity) of a product or service is desired by buyers . When demand is high, prices
of a commodity go up. Higher prices on the other hand decrease the demand of a particular
good and service (Baumol & Bunder, 2011). Aggregate supply is the relationship between
the economy’s price level and the amount that the output firms are willing and able to
supply. Therefore Residential Real Estate prices are guided by the relationship between
supply and demand.
Many countries have in the past experienced house price fluctuations. This has been
associated with economic instability. In many countries, like the U.S., price fluctuations
have led to accelerated housing defaults with millions of residential properties having
2
negative equity mortgages with outstanding loan balances being greater than the property
values (Burnside et al, 2011). House prices are a significant indicator of the real estate
market because prices are driven by the demand in the market. Demand on the other hand
is determined by a number of macro and micro economic factors in an economy. Thus to
fully understand the changes and developments in a real estate market, it is important to
fully understand the forces behind price fluctuations. Higher property prices also tend to
stimulate the economic activity through wealth effects, thereby encouraging investment and
consumption spending.
1.1.1 Residential Real Estate Prices
Real estate markets are heterogenous, with a series of geographical and sectoral submarkets
that lack a central trading market. Every property is usually unique and information on the
market transactions is often not available. The pricing process is usually negotiated and the
market is characterized by large transaction costs. The prices of an existing property should
theoretically be equal to discounted present value of the expected stream of future income
(rents), which depend on expected growth in income, anticipated real interest rates, taxes
and other structural factors. The price should equilibrate demand and supply in a well
functioning market. The fundamental equilibrium price is the price at which the stock of
existing real estate equals the replacement cost (Hilbers et al 2001). Therefore in theory a
growth in prices indicates growth in demand and hence a growth in the market. Several
factors drive the demand of the real estate market.
There are two ways to measure real estate demand and these involve an evaluation of real
estate investments and real estate prices. As demand for real estate increases, real estate
3
prices rise and therefore real estate investors will increase their in real estate to meet the
demand and therefore it can be said that real estate prices and real estate investments are
directly proportional to real estate demand.
The real estate market is a key contributor to the Socio- economic development of nations
through creation of employment in construction and other areas. It is also a key contributor
2. to the GDP. For many families, the house is their one major investment representing over
30% of their wealth. Thus house pricing is of utmost importance to them. House prices are
also of great interest to real estate developers, banks and policy makers in general.
1.1.2 Determinants of Residential Real Estate Prices
The size and scale of the real estate market makes it attractive and lucrative sector for many
investors. House prices are a good indicator of the size of a real estate market. Several
factors affect residential real estate prices and hence the growth of the market. These
include: interest rates, GDP, level of money supply, and Inflation rate (Mak, Choy, & Ho,
2012).
1.1.3 How the Factors affect Residential Real Estate Prices
Interest rates have a major impact on the real estate markets. Changes in interest rates can
greatly influence a person's ability to purchase a residential property. That is because as the
interest rates fall, the cost to obtain a mortgage to buy a home decreases, which creates a
higher demand for real estate, which pushes prices up. Conversely, as interest rates rise, the
cost to obtain a mortgage increases, thus lowering demand and prices of real estate. When
4
interest rates are low, buyers can afford more homes for their money because less of the
mortgage payment goes toward interest charges to the lender. This scenario could draw
more buyers into the market, which could lead to multiple bids on houses and an uptick in
overall prices. Because the influence of interest rates on an individual's ability to purchase
residential properties (by increasing or decreasing the cost of mortgage capital) is so
profound, many people incorrectly assume that the only deciding factor in real estate
valuation is the mortgage rate. However, mortgage rates are only one interest-related factor
influencing property values. Because interest rates also affect capital flows, the supply and
demand for capital and investors' required rates of return on investment, interest rates will
drive property prices in a variety of ways (Liow, Ibrahim & Huang, 2005).
Another key factor that affects the value of real estate is the overall health of the economy.
This is generally measured by economic indicators such as the GDP, employment data,
manufacturing activity, the prices of goods, etc. The GDP is the market value of all
officially recognized final goods and services produced within a country in a given period
of time. GDP per capita is often considered an indicator of a country’s standard of living.
Under economic theory, GDP per capita exactly equals the Gross Domestic Income per
capita. When the GDP is low it means that the people’s purchasing power is also low hence
the demand for real estate and consequently the house prices will decrease. Conversely,
when the GDP increases, the purchasing power also increases hence increasing the demand
of Real estate and house prices go up. Broadly speaking, when the economy is sluggish, so
is real estate. However, the cyclicality of the economy can have varying effects on different
types of real estate. For example, an investment in hotels would typically be more affected
5
by an economic downturn than one in office buildings. Hotels are a form of property that is
very sensitive to economic activity due to the type of lease structure inherent in the
business. Renting a hotel room can be thought of as a form of short-term lease that can be
easily avoided by hotel customers should the economy be doing poorly. On the other hand,
office tenants generally have longer-term leases that can't be changed in the middle of an
economic downturn (Case et al, 2005).
Money Supply is a broad measure of money in an economy. Increase in money supply
gives rise to greater inflation uncertainty and this has an adverse impact on the real estate
market. Excessive growth in money supply may lead to an inflationary environment and
might affect the investments because of higher discount rate (Liow, Ibrahim & Huang,
2005).
3. Inflation is often defined as a sustained increase in prices for a broad range of prices
(Gallagher, 2011). Inflation rates affect the purchasing power of money. Inflation is
measured by the changes in the Consumer price index (CPI) which measures the retail
prices of goods and services purchased by households (Liow, Ibrahim and Huang, 2005). It
is theoretically expected that the higher the inflation rate the higher the house prices.
1.1.4 Real Estate Market in Kenya
The Kenyan real estate market has been experiencing a boom in the past ten years and the
latest findings have shown that the trend will continue into the foreseeable future. In a
report published by Knight Frank and Citi Private Bank, it was found that luxury homes in
6
Nairobi, Mombasa, Malindi, and Lamu were ranked among the top-notch residential
property markets in the world for attaining the highest rise in prices among properties
surveyed globally in 2011. Nairobi was reported to have had the highest growth rate with
25% price increase for top-notch residential properties, followed by Kenyan coastal
properties in Mombasa, Malindi and Lamu with 20% price growth. Properties in Miami,
Bali, Jakarta, London, Vancouver, Moscow, Toronto, Beijing and Cape Town were rated
on the price increase index with 19.1%, 15%, 14.3%, 12.1%, 10.4%, 9.8%, 8.1% and 2.4%
in that order (Knight Frank & Citi Private Bank, 2011).
In 2010, growth was higher than expected at 5.6 percent, and this rate is expected to be
maintained over the medium term. If growth accelerated to 6 percent, Kenya could reach
Middle Income Country status by 2019.This means Kenya is at the threshold of a major
demographic transition and is urbanizing rapidly. Each year, Kenya will continue to grow
by more than one million people, who will live longer, be better educated, and increasingly
live in cities. This social and economic transformation needs to be managed well to
catalyze its development impact (World Bank, 2011). This increase in urbanization will
affect the demand for housing significantly.
According to UN Habitat Statistics, E.A is the fastest urbanizing region in the world with
its urban population expected to double between 2007 and 2017 (UN Habitat, 2013).
Nairobi is one of the fastest growing cities in the world. Recent report by the Kenya
National Bureau of Statistics, shows that demand for real estate in the urban areas in the
last ten years, exceeded supply by more than five times.
7
Another reason to anticipate significant growth in the real estate market in the year 2013 is
the dropping interest rates. Lower rates have spurred an uptake of mortgages which have in
turn fueled the impending housing market boom. In June 2013, the CBK lowered its rate to
8.5%. Statistics show however that despite lower interest rates, less that 200,000 Kenyans
have mortgage facilities. Only 6% of Kenyans own their own homes. Mortgage lending is
still accessible to only a minority. In 2012, only 1.1% of the top 60% income earners in
Kenya have a mortgage (Knight Frank, 2012). This means that there is still a huge deficit in
the housing market. Statistics indicate that the demand for housing, which has possibly led
to increase in house prices, has been on the rise at a faster rate than the number of houses
available or under construction (National Housing Corporation, 2009). The estimate
number of houses constructed annually is about 30,000 whereas the demand is estimate at
150,000 (National Housing Survey, 2013).
In Nairobi the demand for real estate is at an all time high. With improved infrastructure
like the Thika Superhighway, access to utilities, growth in information technology, the
performance of the sector continues to grow. A major innovation has been the multibillion
– dollar gated communities and mini cities coming up. These include the Kihingo Village,
Thika Greens Golf Estate, Fourway Junction, Tatu City, Konza City, Migaa Golf Estate,
Roslyn Heights, and EdenVille Estate among others. This has spurred the growth of the
4. sector tremendously. These communities are preferred as they are perceived to present a
sense of higher security and provide access to high end facilities like swimming pools and
8
gyms at a lessor cost than if homeowners were to construct their own. Hence property in
these communities has increased in value.
Another boost to the sector players is the introduction of Real Estate Investment Trusts
(REITS) by the Capital Markets Authority (CMA). This will enable real estate companies
be listed in the Nairobi Securities Exchange (NSE). It will also enable small investors to
have access to an otherwise prohibitive market (Julius, 2012).
1.2 ResearchProblem
As identified earlier the key determinants of residential real estate prices are interest rates,
GDP, level of money supply and inflation rate. The factors may have a negative or a
positive relationship with the house prices. The factors may also affect the market directly
or indirectly. For example interest rates affect house prices by raising the demand. Also, the
degree to which each factor impacts the house prices varies. Knowing the relative
relationship is of paramount importance in making investment decisions as well as policy
formulations in a bid to boost the market even further.
Studies have been conducted globally on house prices. Egert and Mihaljek (2007) studied
the determinants of house prices dynamics. Selim (2008) studied the determinants of house
prices in Turkey for both urban and rural areas. Mak et al, 2012 studied the specific
estimates of the determinants of real estate investments in China. Lieser & Groh (2011)
studied the determinants of commercial real estate investments. Posedel & Vizek (2009)
studied house price developments in six European countries. Alves et al (2011) conducted a
research to test other dimensions of asset pricing other than the hedonic modeling.
9
In the Kenyan setting, studies done on the real estate sector include Muthee (2012) who
sought to determine the relationship between economic growth and real estate prices in
Kenya. Jumbale 2012 sought to determine the relationship between house prices and real
estate financing in Kenya. Muli (2011) studied the relationship between property prices and
mortgage lending in Kenya. Julius (2012) studied the determinants of residential real estate
prices in Nairobi.
Though a similar research as this study had been conducted, Julius’ study was limited to
the city of Nairobi and studied the relationship of house prices with interest rates, level of
money supply, inflation rate, population and employment. Other studies have concentrated
on the relationship between house prices and one particular variable without the relative
comparison of other factors. This study sought to extend and fill the research gap by
widening the scope to the whole country of Kenya. It also included economic growth as a
variable.
1.3 ResearchObjective
To investigate the determinants of residential real estate prices in Kenya.
10
1.4 Value of the Study
It is expected that this study will add to the body of knowledge in existence in the real
estate field which will be beneficial to academicians. It will also provide a basis for further
research in the field. Thus it will make a contribution to the literature on determinants of
residential real estate prices.
Investors seeking to join or expand in the real estate sector will be able to make informed
evaluation as to what is driving the changes in real estate prices and thus be able to make
sound decisions. Individuals seeking to own their own homes will also benefit in
understanding the market forces and make the best buy. Financing institutions will find this
5. study useful in regard to fluctuations in prices since this affects the long term evolution of
real estate financing. The government and regulatory bodies will benefit in knowing how
government policies on issues like taxation affect the sector and hence formulate
appropriate regulatory framework for enhancing the growth of the sector.
CHAPTER ONE:INTRODUCTION
1.1 Background of the Study
Real estate investment plays the crucial role of providing employment opportunities, offering
shelter to households, enhancing income distribution and poverty alleviation (Masika, 2010). Real
estate industry in Kenya continues to fail to fulfil this fundamental role due to a number of unique
factors that affect the sector. In the recent past, Kenya has witnessed an upsurge in real estate
investment owing to increased quest for Kenyans to own homes coupled by an increased demand
for residential homes due to increased rural urban migration, as well as demand for office space as
more small and medium enterprises come into being (Nzalu, 2010).
Wisniewski (2011) indicates that the processes occurring in real estate are subject to different
impulses, and these impulses are different depending on the financial and economic situation of a
given country. For example, different macro-economic factors vary over time and they influence
economic processes, practices and outputs in an economy. Lynn (2007) states that since macro-
economic factors often influence one another, and at times very correlated, when one factor
changes, ripple effect occurs and the economy is affected much more. To this end, measuring the
effect of macro-economic variables is usually a difficult endeavor.
This paper examines the effect of interest rates, GDP/income, inflation, diaspora remittances -
which affects the balance of payments and employment, economic growth hence affecting the
various markets in the economy including the real estate market 2
6. (Barkham, 2012). Notably, the fluctuating rates of interest do fluctuate the interest charged by
lending institutions on loans – cost of capital for investment. Also, the level of national
output/income affects various aspects of the economy including investments. Also, an increase
diaspora remittance represents an injection of capital for investment. On the other hand, an
employment rate represents a capital addition in the economy which may be spent or invested.
This study examines the effect of the selected macro-economic factors on real estate investments
in Kenya.
1.1.1 Macro-Economic Variables
Macro-economic variables refer to factors that are pertinent to the broad economy at the regional
or national level and affect a large population rather than a few select individuals. Macroeconomic
factors such as economic output, unemployment, inflation, savings and investment are key
indicators of economic performance and are closely monitored by governments, businesses and
consumers (Khalid et al., 2012).
Fischer (1993) posits that the interplay or relationship between various macroeconomic factors is
the subject of a great deal of study in the field of macroeconomics. While macroeconomics deals
with the economy as a whole, microeconomics is concerned with the study of individual agents
such as consumers and businesses and their economic decision-making.
The macro-economic factors are; real GDP, the unemployment rate, the inflation rate, the interest
rate, the level of the stock market, and the exchange rate (Khalid et al., 2012). The five common
macro-economic factors; rate of inflation – affects prices for inputs and outputs in the short run
and interest rates over the longer run in an economy, rates of 3
7. interest – affects cost of capital which is the interest expenses hence property values, rate of
unemployment – affects available income and hence disposable income for investments since this
is an important source of internal equity capital, rate of growth in GDP – affects the domestic
demand for national outputs, and rate of foreign exchange – affects the value of the currency
relative to international currency hence affecting property values where different currencies are
involved as well as the export demand for outputs.
1.1.2 Real Estate Investment
According to Cummings (2010), real estate investing involves the purchase, ownership,
management, rental and/or sale of real estate for profit. Investment in real estate is undertaken for
its ability to provide returns inform of capital, income and intangible benefits (Baum & Crosby
1988). However returns in commercial real estate are maximized when there is full occupancy,
prompt and total rent collection, full market rent, good physical condition of building; minimal
irrecoverable outgoings and low rate of tenant turn over.
Studies by Ziening & McIntosh (1999) and Tonto, Wheaton & Southard (1998) have shown that
the greater volatility in return in commercial real estate is not an appraisal problem but a structural
problem of the property markets and real estate property as an investment vehicle. The most
typical sources of investment properties include: market listing (through multiple listing service or
commercial information exchange), real estate agents, wholesale (such as banks real estate owned
department and public agencies), public auction (foreclosure sales ,estate sales ), and private sales.
4
8. As Lynn (2007) notes, the primary cause of investment failure for real estate is that the investor
goes into negative cash flow for a period of time that is not sustainable, often forcing them to
resell the property at a loss or go into insolvency. A similar practice known as flipping is another
reason for failure as the nature of the investment is often associated with short term profit with
less effort (Thalmann, 2006). Real estate markets in most countries are not as organized or
efficient as market for other more liquid investment instruments. The individual’s properties are
unique to themselves and not directly interchangeable, which presents a major challenge to an
investor seeking to evaluate prices and investment opportunities (Renigier-Biłozor, 2011).
For this reason, locating properties in which to invest can involve substantial work and
competition among investors and to purchase individual properties may be highly variable
depending on knowledge of availability. Information asymmetries are common place in real estate
markets. This however, increases transaction risks, but also provide many opportunities for
investors to obtain properties at bargain prices (Nzalu, 2012). Real estate investors typically use a
variety of appraisal techniques to determine the value of properties prior to purchase.
Real estate investment is measured through various approaches. One of the evident approaches is
through indices mainly used in stock exchange market. Indices are frequently used as a
benchmark against which to measure the performance of shares and fixed interest stock
(Barkham, 2012). They are applied in the property industry but in a limited scope as compared to
stock markets mainly because of difficulties associated with the free availability of data. Owing to
the subjectiveness of property valuations, property index should ideally include a large sample, be
independent of any of the institutional 5
9. investors, and should separate income, capital performance and total performance for each
category of property.
The market value can also be used to measure property performance in the market. The value
placed on a property is a major determinant of its performance. The value may be either market
value or fundamental value. The fundamental value is the value placed on the property by the
owner and is not necessarily market related (Thalmann, 2006). On the other hand, market value is
the value which the market at large places on the property.
Ideally, property indices are produced by industry players such as established investment firms or
government valuing agencies. In real estate sector, indices are produced by real estate investment
firms. For example, HassConsult Real Estate Ltd comes up with real estate valuation indices.
Specifically, the Hass composite Sales Index is a measure of asking property sales price, based on
a Mixed Adjusted Methodology. This study use the Hass Composite Sales Index which will be
retrieved from the Hass Property Index reports.
1.1.3 Effect of Macro-Economic Variables on Real Estate Investments
Like any other sector of investment, real estate is affected by diverse factors including;
fluctuations in exchange rate, interest rate, inflation rate, money supply, national output etc.
O’Sullivan & Sheffrin (2003) indicate that an exchange rate between two currencies is the rate at
which one currency will be exchanged for another. The Post Keynesian theory assumes that
currency prices are determined in the market for financial capital and that trade flows do not tend
toward balance. It is further assumed that income effects are more important in determining the
current account than are price effects. 6
10. GDP (Gross domestic Product) is defined by OECD as "an aggregate measure of production equal
to the sum of the gross values added of all resident institutional units engaged in production”
(OECD, 2002). In Keynes's theory of determination of equilibrium real GDP, employment, and
prices are affected the aggregate income and expenditure. According to Keynes, spending affects
GDP. To this end national income affects the level of investment.
According to Blanchard (2000), Inflation is the sustained increase in the general price level of
goods and services in an economy over a period of time. Through the cost-push theory of
inflation, raising wages can fuel inflation, which will further increase the price of property.
Money supply or money stock is the total amount of monetary assets available in an economy at a
specific time (Cummings, 2010). If Keynes’s theory is conceded, increases in money supply lead
to a decrease in the velocity of circulation and that real income, the flow of money to the factors
of production, increased, hence affecting the real estate market positively (Barkham, 2012).
Therefore, velocity could change in response to changes in money supply.
Barkham (2012) posits that diaspora remittances are the funds entering a country from foreign
markets as gifts or support of friends and members of one’s family. Through the theory of price,
the demand of property by investors in the diaspora can increase the prices of the property in the
market receiving the remittances. Huge remittances from abroad can cause a surge in money
supply hence price of goods.
As Lynn (2007) notes, the primary cause of investment failure for real estate is that the investor
goes into negative cash flow for a period of time that is not sustainable, often 7
11. forcing them to resell the property at a loss or go into insolvency. A similar practice known as
flipping is another reason for failure as the nature of the investment is often associated with short
term profit with less effort (Thalmann, 2006). Real estate markets in most countries are not as
organised or efficient as market for other more liquid investment instruments. The individual’s
properties are unique to themselves and not directly interchangeable, which presents a major
challenge to an investor seeking to evaluate prices and investment opportunities (Renigier-
Biłozor, 2011).
1.1.4 Real Estate Investments in Kenya
According to Muchoki (2013) most people in Kenya prefer to invest in real estate. Real estate
business in Kenya entails buying a house, and it is one of the safest ways to invest your money in
Kenya. This is mostly due to the fact that assets like a land and houses in Kenya have tended to
almost always appreciate. Also, real estate business in Kenya is fair well in the market because
with growing population in Kenya, the demand for houses is on the rise. A Kenyan with the
money to buy a house can prefer to buy a house and make use of the money used to pay rent for
investment somewhere else in Kenya.
Factors that Influence Real Estate real estate include demographic factors, rate of interest,
inflation rate, performance of the economy among others. Demographics are the data that
describes the composition of a population, such as age, race, gender, income, migration patterns
and population growth. These statistics are an often overlooked but are significant factors that
affect how real estate is priced and what types of properties are in demand. Major shifts in the
demographics of a nation can have a large impact on real estate trends for several decades. 8
12. According to Wallace (2013) population shifts and demographic changes in the population have
an impact on the real estate market in Kenya as an increase in population causes demand, which
further increases prices. In assessing the challenges affecting real estate development, Muchoki
(2013) identified that poor planning was one of the challenges. Poor planning is partly contributed
by lack of updated demographic reports.
When interest rates decline, the value of a bond goes up because its coupon rate becomes more
desirable, and when interest rates increase, the value of bonds decrease. Similarly, when the
interest rate decreases in the market, REITs' high yields become more attractive and their value
goes up. Real Estate Investment Trust - REIT' is a security that sells like a stock on the major
exchanges and invests in real estate directly, either through properties or mortgages. When
interest rates increase, the yield on an REIT becomes less attractive and it pushes their value
down. Otwoma (2013) identified that property prices displayed a high inverse relationship with
interest rates in the period December 2000 to May 2003 and November 2011 to June 2013 when
interest rates were high. This inverse relationship reverses in the period June 2003 to October
2011, a period when interest rates were relatively low and stable.
Another key factor that affects the value of real estate is the overall health of the economy. This is
generally measured by economic indicators such as the Gross Domestic Product, employment
data, manufacturing activity and the prices of goods, amongst others. In a research conducted by
Muthee (2012), the results indicate that there is a relationship between the variables (GDP growth,
inflation, and unemployment) revealing that a quarterly change in housing prices yields a
quarterly change in GDP. The data 9
13. collected and analysed indicates that property is a strong asset class which has been under
exploited in portfolios.
1.2 Research Problem
The growth of real estate investment inany context is highly affectedby a myriad of
economic factors. The growth in real estate could be measured as the collective total investments
(costs of investing in real estate) or the price index (the asking prices). In this sense, then different
factors can cause growth. For example, the housing bubble is associable with; excessive desire for
home ownership in an economy, buying for speculation rather than shelter, low interest rates,
viewing residential real estate as a safe harbor, and bad lending practices. To this extent, variables
that influence the above variables such as inflation, GDP, Money supply, including international
remittances are bound to affect the growth of real estate and other sectors in the economy.
As of 2012, the National Housing Corporation (NHC), the Vision 2030 estimates that the country
requires 200,000 new units of housing per year, but the industry could only avail 35,000 units
each year. A report from the Kenya National Bureau of Statistics (KNBS) shows that real estate
investment has greatly contributed the growth of Kenya’s Gross Domestic Product. Kenya
National Bureau of Statistics report (2012) shows that, in 2008, real estate contributed 107, 323,
000 shillings to the country's GDP. However, real estate prices in Kenya have been growing
almost every year.
Masika (2010) posits that demand for housing units continues to outstrip the supply. Makena
(2012) postulates that level of money supply can influence the level of real estate 10
14. investments as well as real estate property prices. According to Otwoma (2013) property prices
display a high inverse relationship with interest rates especially when interest rates are high. He
adds that this inverse relationship reverses when interest rates are relatively low and stable. In his
study, Muthee (2012) established a relationship between the variables (GDP growth, inflation, and
unemployment) and a quarterly change in housing prices yields.
In his study, Nzalu (2012) concluded that GDP, interest rates and inflation rates do greatly
determine the real estate investments in Kenya. Elsewhere, Renigier-Bilozor & Wisniewski
(2012) established total consumption expenditure, net income; unemployment and population
growths are influential factors to the real estate investment. Also Golob, Bastic & Psuder (2012)
affirmed the findings of Renigier-Bilozor & Wisniewski (2012).
It is notable that while different researchers do agree that GDP, interest rates, inflation,
unemployment, demographics, amongst others do affect the level of real estate investments, they
do not conclude on the direction of the relationship or the strength of the relationship.
Furthermore, findings from different authors are not consistent. The question of this study is; what
is the effect of macro-economic Variables on real estate investments in Kenya?
1.3 Objective of the Study
To determine the effect of macro-economic variables on real estate investment growth in Kenya
11
15. 1.4 Value of the Study
The study is of the following practical value: the study provides useful information to policy
makers, market players and finance academicians on the extent to which macro-economic factors
affect real estate development in the country. The outcome of this study provides insight to policy
makers and real estate players as to whether macro-economic factors can be used as a useful tool
in ensuring housing affordability in Kenya.
The study adds value to theoretical discussion by testing the relationship of macro-economic
factors and investment under an environment where demand outweighs supply. The findings of
the study are useful resource base to students pursuing Finance and to researchers exploring the
area of real estate. The study provides useful data for comparative study purposes in future
researches on this topic. 12
16. CHAPTER TWO: LITERATURE REVIEW
2.1 Introduction
This chapter provides literatures from past researchers and scholars on the effects of real estate
investment. The chapter examines the concepts and theories on the topic with major focus on
macro-economic variables; Exchange rate, inflation rate, money supply, real output – Real Gross
Domestic Product and diaspora remittances. By considering literatures from diverse past authors,
the chapter forms the theoretical and the conceptual framework of the study on the factors
affecting real estate investment.
2.2 Theoretical Review
Theoretical reviewrefers to the theoretical foundation of a study. A theoretical research has its
findings based on existingtheories and hypothesis; there is no practical application in the
research, while an empirical research has its findingsbased on the verification through
experiments,experiencesand observations.
CHAPTER ONE
1.0 INTRODUCTION
Real estate investment plays crucial role in providing employment opportunities, offering shelter
to households, enhancing income distribution and alleviating poverty. However, the real estate
industry in Kenya continues to fail to fulfil this fundamental role due to a number of unique
factors that affect investment in the sector. In the recent past, Kenya has witnessed an upsurge in
real estate investment. This has been driven by a number of factors notably the quest for
Kenyans to own homes, rural urban migration, increased diaspora remittances among others. As
a result, property prices in the urban areas have taken an upward trend. The expansion of
Mombasa road and the construction of Thika super highway have also contributed to the rise of
property prices in the adjacent areas. It’s therefore important to assess the factors that contribute
to investment growth so as to sustain its the growth in future.
Real estate is property consisting of land and the building on it along with its natural resources
such as crops minerals or water immovable property of its nature an interest vested thus an item
of real property building or housing in general. Real estate investing involves the purchase,
ownership, management, rental land or sale of real estate for profit. Kenyan real estate property
covers all property categories including single and multi-family residential dwellings,
commercial and agricultural land, office space, go-dawns and warehouses, retail outlets and
shopping complexes (Masika, 2010). Real estate is an asset form with limited liquidity relative
to other investment, it is also capital intensive (although capital may be gained through mortgage
leverage) and is highly cash flow dependent. If the factors affecting the growth in the investment
are not well understood and managed by an investor, real estate becomes a risky investment.
The primary cause of investment failure for real estate is that the investor goes into negative cash
flow for a period of time that is not sustainable, often forcing them to resell the property at a loss
or go into insolvency. A similar practice known as flipping is another reason for failure as the
nature of the investment is often associated with short term profit with less effort. Real estate
markets in most countries are not as organised or efficient as market for other more liquid
investment instruments. The individual’s properties are unique to themselves and not directly
interchangeable, which presents a major challenge to an investor seeking to evaluate prices and
2
investment opportunities. For this reason, locating properties in which to invest can involve
17. substantial work and competition among investors and to purchase individual properties may be
highly variable depending on knowledge of availability. Information asymmetries are common
place in real estate markets. This however, increases transaction risks, but also provide many
opportunities for investors to obtain properties at bargain prices. Real estate investors typically
use a variety of appraisal techniques to determine the value of properties prior to purchase.
Investment in real estate is undertaken for its ability to provide returns inform of capital, income
and intangible benefits (Baum & Crosby 1988). However returns in commercial real estate are
maximised when there is full occupancy, prompt and total rent collection ,full market rent , good
physical condition of building, minimal irrecoverable outgoings and low rate of tenant turn over.
Studies by Ziening & McIntosh (1999) and Tonto, Wheaton & Southard (1998) have shown that
the greater volatility in return in commercial real estate is not an appraisal problem but a
structural problem of the property markets and real estate property as an investment vehicle. The
most typical sources of investment properties include: market listing (through multiple listing
service or commercial information exchange), real estate agents, wholesale (such as banks real
estate owned department and public agencies), public auction (foreclosure sales ,estate sales ),
and private sales.
1.2 Statement of The Problem
Real Estate comprises lands plus anything permanently fixed to it, including buildings and other
items attached to the structure. Examples of real estate include undeveloped land, houses, town
homes, office, building, retails store and factories (Brown and Matysiak, 2000). According to
Syagga (1987) the principal types of real estate property includes-: rural land use (which consists
of farmland, forestry and mineral land), urban land which consists of (commercial, industrial and
residential properties) and special type of property such as (petrol stations, recreational facilities,
hotels and restaurants, halls and places of assembly and institutional property). The real estate
market and industry covers land and improvements, their selling and rental prices, the economic
rent of land and returns on buildings and other improvements, and the construction industry. The
investment represents a significant portion of people’s wealth, and this is especially true for
3
many real estate investors in Kenya. However commercial real estate in Kenya has been faced
with shrinking occupation demand and there exists disparities between expected and actual
income which may be either positive or negative (Murigu 2005). Real estate prices in Kenya has
doubled, even tripled in the past few years (Majtenyi, 2010) and the government wants to know
the cause. Demand for housing units continues to outstrip the supply (Masika, 2010). The size
and scale of the real estate market makes it an attractive and lucrative sector for many investors.
Nuri, E. & Frank Nothat,(2002) in a study found that the population of Kenya has steadily
increased, resulting in an urban population in Nairobi of a record of 3 million people, whereby
all these people need shelter, hence the real estate industry is tremendously doing well and
contributing to the economy’s growth. Real estate investments and prices are good measures for
reflecting expected real estate demand, and serve as good predictors of economic growth (Knight
Frank, 2011). A survey conducted by Hass Consultants in association with CFC Stanbic bank in
the year 2010 revealed that the Kenyan real estate sector has been vibrant for the past decade
between the years 2000 to 2010. For instance the report also indicated that capital gains from
Kenyan properties far outstrips gains from US and UK properties. This has eventually made the
Kenya real estate market to be the winner in the international property investment amidst the
indebtedness in the Western Countries (Mwithiga, 2010).
According to a report by the National Housing Corporation (NHC), the Vision 2030 estimates
that the country requires 200,000 new units of housing but only 35,000 units have been produced
to date. That means we have a deficit of 165,000 housing units. Similarly, a report from the
Kenya National Bureau of Statistics (KNBS) indicates that real estate investment has contributed
a lot to the growth of Kenya’s Gross Domestic Product. For instance data from Kenya National
Bureau of Statistics report (2012) shows that, in 2008, real estate contributed 107, 323, 000
shillings to the country's GDP. In the subsequent year, 2009, the value of GDP attributable to
18. real estate reduced slightly to 116,657,000 Kenyan Shillings. In addition the value of GDP
further rose in 2010 to 123,173,000 shillings and consequently the contribution to GDP from real
estate rose further in 2011 to 134, 746, 000 Kenyan shillings. Real estate and renting business
services play a crucial role in the Kenyan economy (statistical abstract 2011). For instance the
investment grew at 3.5% in 2007 and rose slightly to 3.7% in 2008.
4
However, the growth declined sharply to 3.0% in 2009 due reduction in capital investment and
the poor performance of the economy as a result of the post-election violence that led to
destruction of property and in the 2007 General elections. The growth picked up in the
preceding years at 3.2% and 3.6% respectively in 2010 and 2011 respectively as investment
climate became conducive and by the of the end of the third quarter of 2012 the investment was
growing at 3.8% depicting an increasing trend. There has been a great appreciation of property
prices and volatility across the different property markets in Kenya since the year 2006.
According to Hass property consultants, in the first property index in Kenya, the prices for high
end residential properties has doubled between 2005 and 2009 (Hass property index, 2009). The
current rental yields that are the return on capital tied up in property is however much lower than
mortgage interest. The Hass consultant property index data for the first quarter in 2011 indicated
that rental yield are down to 5.62 per cent per from a high of 7.3 percent per year in 2007. The
Hass survey further revealed that property prices have risen to 55 per cent since the 2007 while
rental yields have appreciated with only 18 per cent. The main concern is that real estate
contribution to the economy of Kenya (as measured in relation to the economic growth) has
faced a declining trend for the past years. For instance in 2008, it contributed to 5.1% of total
GDP, and in 2009 it reduced to 4.9% of GDP. Subsequently it slightly fell to 4.8% in 2010 and
further declined to 4.5% in 2011. There is need therefore establish and assess the factors that
contribute to the growth of the investment so as to sustain the investment growth in future.
1.3 Research Questions
(i) What is the impact of GDP on the growth in Real Estate Investment ?
(ii) What is the contribution of interest rates to the growth in Real Estate Investment ?
(iii) To what extend do changes in inflation rate affect the growth in Real Estate Investment ?
(iv) What is the impact of population growth on Real Estate Investment ?
1.4 Objectives ofthe study
The general objective of the study is to determine the factors influencing investment in the real
estate in Kenya.
5
1.4.1 Specific Objectives
The study specific objectives are;
(i) To examine the impact of GDP on the growth in real estate investment in Kenya.
(ii) To determine the contribution of interest rates on the growth in real estate investment in
Kenya.
(iii)To determine the extent to which inflation rates affect the growth in real estate investment.
(iv) To examine the impact of population growth on the growth in real estate investment.
1.5 Study Hypothesis
It is hypothesized that the GDP growth is the main contributing factor to the growth in real estate
investment in Kenya.
1.6 Significance of the study
The results and findings from this study will form a basis for policy formulations on ways of
controlling for the determinants of real estate so as to sustain the investment growth in future.
1.7 Scope of the study
The study investigated the factor affecting growth in real estate in Kenya with emphasis on the
assessment of the various contributions of factors such as GDP growth, inflation rates,
population growth rates and rate of interest. The study area involved private and public
developers in real estate property. Data for the study was on time series covering real estate
renting business. The study covered a period of twelve years between 1998 to 2012.
19. 1.8 Organization of the study
The study was organized into five chapters, chapters one to five. Chapter one discussed the
background of the research, statement of the problem, objectives of the research, study
hypothesis, research questions, significance of the study and scope of the study. The next
chapter, chapter two, was on literature review where related literature from various scholars was
reviewed and an overview based on the literature given. The third chapter was on research
methodology, which comprised sample design, research design, and the means of data collection
6