Top salaries in the Ontario public sector have increased substantially in real terms since 1996, similar to increases in top salaries across the Ontario economy. With the exception of school boards, top public sector salaries rose at approximately the same rate as overall top salaries in Ontario. The increases in public sector salaries were much smoother over time compared to the private sector, suggesting some insulation from private labor market forces in the short-run. Disclosure of public sector salaries does not appear to have restrained growth in top salaries. Reduced top income tax rates may have improved bargaining positions for high-earning employees and contributed to rising incomes.
We study the impact of trade shocks on inequality using newly constructed micro and macro data. First, we use the Current Population Survey’s (CPS) Merged Outgoing Rotation Group (MORG) from 1979 to 2010 combined with new annual measures of imported inputs, a proxy for offshoring. We find that in periods when US relative prices are high, and imports surge relative to exports, workers in sectors with greater initial exposure to international trade were more likely to be unemployed a year later, but did not experience significant declines in wages conditional on being employed. Contrary to the usual narrative, we find stronger wage effects for higher-wage workers, particularly for those who are less-educated. Second, sectors most exposed to trade shocks do not experience relative increases in inequality. Third, using aggregate international data data on the top 1% share of income as an inequality proxy for 30 countries, we find that various trade shocks, such as increases in trade with China, are not generally correlated with inequality. Instead, using new historical data on top marginal tax rates, we confirm a close correlation between top rates and top income shares, and find that the level of top marginal tax rates impacts changes in the top 1% share of income, implying that top income shares are a function of historical marginal tax rates.
Read more: https://www.hhs.se/site
After the Economic Crisis in early 1990s the Finnish economy has recovered rapidly, and simultaneously a major period of equalization from the mid 1970s to the mid 1990s has been reversed, taking the levels of the Gini coefficient in a few years back to levels of inequality found 30 years ago. The paper examines how changes in Government policy, and in particular, in the incentives introduced by tax reforms have influenced income inequality. The paper introduces a decomposition of the Gini and concentration coefficients by population groups which are calculated for before and after-tax incomes to consider evolution of income inequality and tax progressivity in Finland over the period 1990–2004. Decompositions of the Gini coefficient of after-tax income by income sources give little information on the effects of taxation. In contrast, popular measures of tax progressivity (Reynolds and Smolensky 1977) show a significant decrease. Our decomposition of the progressivity measure by income deciles focuses on changes in tax treatment of the income deciles in the ten year period after the mid 1990s. The changes in the decile shares of beforetax and after-tax income among those in the highest before-tax income deciles are the main factors that lie behind the recent change in tax progressivity, and play an important role in explaining the recent surge in inequality. These changes have been accompanied with a change in the composition of factor income. There has been an unprecedented increase in capital income which has mainly accrued to the population groups at the high end of the income distribution after the mid 1990s. The change is most clearly seen among those in the top income percentage. The 1993 Finnish tax reform introducing the Nordic dual income tax model, and creating strong incentives to shift labour income to capital income for those in the highest marginal tax brackets, is among the key policy decisions responsible for this trend. Interestingly enough, but consistent with the income shifting hypothesis, we find no increase in horizontal inequality in response to the introduction of the dual income tax.
The Financial Recession that hit British economy recently resulted in severe unemployment and job loss across UK. The Recession did have many implications on the British labour market. This paper will have an insight into the implications of Recession on graduate labour market in UK. The data provided by the Association of Graduate Recruiters, Office for National Statistics and High Fliers Research Limited on graduate recruitment market in UK was used to carry out the study. The study will be based on the comparison of graduate recruitment market in the years 2009 and 2010. The comparison of graduate recruitment market will be based on the analysis of graduate labour market for the years 2009 and 2010. This paper will try predicting whether the year 2010 is a favourable year for graduates or not. It will also have an insight into the attitude of students towards recession and will provide necessary recommendations.
Insights into doing business in China from the Financial Times now of particular interest as Australia draws near to negotiating an FTA with its largest trading partner.
We study the impact of trade shocks on inequality using newly constructed micro and macro data. First, we use the Current Population Survey’s (CPS) Merged Outgoing Rotation Group (MORG) from 1979 to 2010 combined with new annual measures of imported inputs, a proxy for offshoring. We find that in periods when US relative prices are high, and imports surge relative to exports, workers in sectors with greater initial exposure to international trade were more likely to be unemployed a year later, but did not experience significant declines in wages conditional on being employed. Contrary to the usual narrative, we find stronger wage effects for higher-wage workers, particularly for those who are less-educated. Second, sectors most exposed to trade shocks do not experience relative increases in inequality. Third, using aggregate international data data on the top 1% share of income as an inequality proxy for 30 countries, we find that various trade shocks, such as increases in trade with China, are not generally correlated with inequality. Instead, using new historical data on top marginal tax rates, we confirm a close correlation between top rates and top income shares, and find that the level of top marginal tax rates impacts changes in the top 1% share of income, implying that top income shares are a function of historical marginal tax rates.
Read more: https://www.hhs.se/site
After the Economic Crisis in early 1990s the Finnish economy has recovered rapidly, and simultaneously a major period of equalization from the mid 1970s to the mid 1990s has been reversed, taking the levels of the Gini coefficient in a few years back to levels of inequality found 30 years ago. The paper examines how changes in Government policy, and in particular, in the incentives introduced by tax reforms have influenced income inequality. The paper introduces a decomposition of the Gini and concentration coefficients by population groups which are calculated for before and after-tax incomes to consider evolution of income inequality and tax progressivity in Finland over the period 1990–2004. Decompositions of the Gini coefficient of after-tax income by income sources give little information on the effects of taxation. In contrast, popular measures of tax progressivity (Reynolds and Smolensky 1977) show a significant decrease. Our decomposition of the progressivity measure by income deciles focuses on changes in tax treatment of the income deciles in the ten year period after the mid 1990s. The changes in the decile shares of beforetax and after-tax income among those in the highest before-tax income deciles are the main factors that lie behind the recent change in tax progressivity, and play an important role in explaining the recent surge in inequality. These changes have been accompanied with a change in the composition of factor income. There has been an unprecedented increase in capital income which has mainly accrued to the population groups at the high end of the income distribution after the mid 1990s. The change is most clearly seen among those in the top income percentage. The 1993 Finnish tax reform introducing the Nordic dual income tax model, and creating strong incentives to shift labour income to capital income for those in the highest marginal tax brackets, is among the key policy decisions responsible for this trend. Interestingly enough, but consistent with the income shifting hypothesis, we find no increase in horizontal inequality in response to the introduction of the dual income tax.
The Financial Recession that hit British economy recently resulted in severe unemployment and job loss across UK. The Recession did have many implications on the British labour market. This paper will have an insight into the implications of Recession on graduate labour market in UK. The data provided by the Association of Graduate Recruiters, Office for National Statistics and High Fliers Research Limited on graduate recruitment market in UK was used to carry out the study. The study will be based on the comparison of graduate recruitment market in the years 2009 and 2010. The comparison of graduate recruitment market will be based on the analysis of graduate labour market for the years 2009 and 2010. This paper will try predicting whether the year 2010 is a favourable year for graduates or not. It will also have an insight into the attitude of students towards recession and will provide necessary recommendations.
Insights into doing business in China from the Financial Times now of particular interest as Australia draws near to negotiating an FTA with its largest trading partner.
Realized capital gains are typically disregarded in the study of income inequality. We show that in the case of Sweden this severely underestimates the actual increase in inequality and, in particular, top income shares during recent decades. Using micro panel data to average
incomes over longer periods and re-rank individuals according to income excluding capital gains, we show that capital gains indeed are a reoccurring addition to rather than a transitory component in top incomes. Doing the same for lower income groups, however, makes virtually no difference. We also try to find the roots of the recent surge in capital gains-driven inequality in Sweden since the 1980s. While there are no evident changes in terms of who earns these gains (high wage earners vs. top capital income earners), the primary driver instead seems to be the drastic asset price increases on the post-1980 deregulated financial markets.
Why Do Management Practices Differ across Firms and Countries?GOOD Intelligence
How Can Management Practices Be Measured?
To measure management practices, we have developed a new survey methodology described in detail in Bloom and Van Reenen (2007). We use an interview-based evaluation tool that defifi nes and scores from 1 (“worst practice”) to 5 (“best practice”)
This paper presents new evidence on intergenerational mobility in the top of the income and earnings distribution. Using a large dataset of matched father-son pairs in Sweden, we find that intergenerational transmission is very strong in the top, more so for income than for earnings. In the extreme top (top 0.1 percent) income transmission is remarkable with an IG elasticity above 0.9. We also study potential transmission mechanisms and find that sons’ IQ, non-cognitive skills and education are all unlikely channels in explaining this strong transmission. Within the top percentile, increases in fathers’ income are, if anything, negatively associated with these variables. Wealth, on the other hand, has a significantly positive association. Our results suggest that Sweden, known for having relatively high intergenerational mobility in general, is a society where transmission remains strong in the very top of the distribution and that wealth is the most likely channel.
The paper is concerned with the history of the Finnish incomes policy, covering the period from the Second World War to the present. It deals with the Finnish incomes policy as a special type of political exchange between the social partners and the Government. In pursuing wage moderation, governments have used welfare reforms as a means of exchange for solving certain externalities arising in wage bargaining. The continuity of political exchange between the social partners and the Government requires a common ground of values and trust. In the paper, these prerequisites are characterised by the use of the concept of social capital. Social capital can be interpreted as a relationship of horizontal trust between the social partners and the Government. This interpretation is closely related to Bo Rothstein’s concept of organised social capital. Accordingly, the paper emphasises the importance of the institutional framework within which incomes policy negotiations have been carried out as an important promoter of social capital between the social partners and the Government. The paper also emphasises the importance of centrally negotiated incomes policy agreements as an important institutional framework within which the Finnish welfare state has evolved. For example, the earnings-related pension scheme has been developed mostly within the framework. The paper discusses not only the history but also the present and the future of the Finnish incomes policy. Owing to the traditionally close relationship between centrally negotiated incomes policy agreements and welfare reforms, the end of centrally negotiated incomes policy agreements declared by one of the social partners, the Confederation of Finnish Industries, is likely to affect not only the manner in which wages are negotiated in the future but also the tradition of political exchange between the social partners and the Government. The end of centrally negotiated incomes policy agreements may put an end to political exchange, too. Furthermore, it may give rise to a deterioration of social capital between the social partners.
Following 12 consecutive months of employment growth surpassing 200,000 jobs per month, the U.S. labor market slowed down in March, adding just 126,000 net new jobs. In turn, unemployment stayed stable at 5.5 percent, while total unemployment dropped by an additional 10 basis points to 10.9 percent.
Because external indicators, jobless claims and other labor market measures continue to trend in a positive direction, we believe March may have been an aberrant month, and expect further growth ahead.
For my IB Extended Essay (EE), I chose a topic within Microeconomics; more specifically, contestable market theory. In this academic research paper, I investigated the following research question: “To what extent has the degree of contestability in the electric vehicle market changed in the United States between 2014 and 2019?”
Grade achieved: A
• In the May 2020 session, only 7.17% of candidates (2,975 out of 41,486) who wrote an Extended Essay on a social science achieved this maximum grade.
• Around 180 out of ~4,100 candidates who wrote an Economics Extended Essay achieved an A (above the 95th percentile), making it one of the hardest subjects to write an EE on.
• Overall, only 10.63% of candidates achieved an A on their Extended Essay in May 2020.
Today’s Economic Landscape and What’s on the Other SideSavannah Whaley
SPG Trend Advisors is a boutique consultancy that provides global economic research for business and other decision makers. With fifty years combined experience between the principals, and through its website, SPG Trend Advisors provides insightful analysis and forecasting to prepare senior executives for tomorrows trends.
PRESENTATIONResearch question and literature reviewEffects o.docxharrisonhoward80223
PRESENTATION
Research question and literature review
Effects of corporate income tax avoidance in the economy
What the question adds to the existing literature.
Several scholars have done research on how avoidance if corporate income tax has increased their pay as well as the corporations' profits.
They have not explained on how the avoidance of corporate tax has affected the economy.
The Corporate income tax is among the major sources of the federal revenue, through research in 2014 it raises about $320.7 billion in the fiscal year, 10.6 percent of all the countries’ revenue and 1.9 percent out of all the gross domestic product.
Economic framework.
When these corporate income taxes are avoided, the amount of money available to provide public goods and services reduces and consequently, the economy increased very much making it be out of balance.
Again, corporate income tax has contributed to budget shortfall. Corporations are complaining that there has been increased tax rate in the Federal income tax but what has led to this is the failure for many corporations to pay taxes on the amount of profits they make (Lebergott 2015).
Potential Data Sources
The target population will be ;
several CEOs in selected corporation
unions which deal with different corporations
the Fed which controls all the accounting and finances of the country
lastly is workers within those selected corporations
Importance of the Question
The importance of this research proposal will be to educate the relevant people on how this act of corporate income tax avoidance has towards the economy.
After which the expected measures will be taken to ensure that the economy is will control and people are not taxed very high (Onji and Tang 2015).
The gap between employees and the CEO pay affects the performance of the firm
Research shows that the size of the gap is determined the by the size of the firm of the industry (Carpenter and Sanders (2002).
But vertical pay disparity has negative effects on the firm, for example, the Korea firms
How the firm performance affects the CEO pay beyond what average employees make.
Between 1978 and 2014 after the inflation adjustments, CEO pay increased by about 1,000 percent while employees in the same period their pay increased by only 11 percent.
In this research, there are several factors which influence the firms pay apart from the individual CEO so the CEO is not to blame here and should just be paid despite the firms' performance (Pathak et.al 2014).
References
Carpenter, M. A., & Sanders, W. M. (2002). Top management team compensation: The missing link between CEO pay and firm performance? Strategic Management Journal, 23(4), 367-375.
Conyon, M. J., & Murphy, K. J. (2000). The prince and the pauper? CEO pay in the United States and the United Kingdom. The Economic Journal, 110(467), 640-671.
Gabaix, X., & Landier, A. (2006). Why has CEO pay increased so much? (No. w12365).
Nation.
Realized capital gains are typically disregarded in the study of income inequality. We show that in the case of Sweden this severely underestimates the actual increase in inequality and, in particular, top income shares during recent decades. Using micro panel data to average
incomes over longer periods and re-rank individuals according to income excluding capital gains, we show that capital gains indeed are a reoccurring addition to rather than a transitory component in top incomes. Doing the same for lower income groups, however, makes virtually no difference. We also try to find the roots of the recent surge in capital gains-driven inequality in Sweden since the 1980s. While there are no evident changes in terms of who earns these gains (high wage earners vs. top capital income earners), the primary driver instead seems to be the drastic asset price increases on the post-1980 deregulated financial markets.
Why Do Management Practices Differ across Firms and Countries?GOOD Intelligence
How Can Management Practices Be Measured?
To measure management practices, we have developed a new survey methodology described in detail in Bloom and Van Reenen (2007). We use an interview-based evaluation tool that defifi nes and scores from 1 (“worst practice”) to 5 (“best practice”)
This paper presents new evidence on intergenerational mobility in the top of the income and earnings distribution. Using a large dataset of matched father-son pairs in Sweden, we find that intergenerational transmission is very strong in the top, more so for income than for earnings. In the extreme top (top 0.1 percent) income transmission is remarkable with an IG elasticity above 0.9. We also study potential transmission mechanisms and find that sons’ IQ, non-cognitive skills and education are all unlikely channels in explaining this strong transmission. Within the top percentile, increases in fathers’ income are, if anything, negatively associated with these variables. Wealth, on the other hand, has a significantly positive association. Our results suggest that Sweden, known for having relatively high intergenerational mobility in general, is a society where transmission remains strong in the very top of the distribution and that wealth is the most likely channel.
The paper is concerned with the history of the Finnish incomes policy, covering the period from the Second World War to the present. It deals with the Finnish incomes policy as a special type of political exchange between the social partners and the Government. In pursuing wage moderation, governments have used welfare reforms as a means of exchange for solving certain externalities arising in wage bargaining. The continuity of political exchange between the social partners and the Government requires a common ground of values and trust. In the paper, these prerequisites are characterised by the use of the concept of social capital. Social capital can be interpreted as a relationship of horizontal trust between the social partners and the Government. This interpretation is closely related to Bo Rothstein’s concept of organised social capital. Accordingly, the paper emphasises the importance of the institutional framework within which incomes policy negotiations have been carried out as an important promoter of social capital between the social partners and the Government. The paper also emphasises the importance of centrally negotiated incomes policy agreements as an important institutional framework within which the Finnish welfare state has evolved. For example, the earnings-related pension scheme has been developed mostly within the framework. The paper discusses not only the history but also the present and the future of the Finnish incomes policy. Owing to the traditionally close relationship between centrally negotiated incomes policy agreements and welfare reforms, the end of centrally negotiated incomes policy agreements declared by one of the social partners, the Confederation of Finnish Industries, is likely to affect not only the manner in which wages are negotiated in the future but also the tradition of political exchange between the social partners and the Government. The end of centrally negotiated incomes policy agreements may put an end to political exchange, too. Furthermore, it may give rise to a deterioration of social capital between the social partners.
Following 12 consecutive months of employment growth surpassing 200,000 jobs per month, the U.S. labor market slowed down in March, adding just 126,000 net new jobs. In turn, unemployment stayed stable at 5.5 percent, while total unemployment dropped by an additional 10 basis points to 10.9 percent.
Because external indicators, jobless claims and other labor market measures continue to trend in a positive direction, we believe March may have been an aberrant month, and expect further growth ahead.
For my IB Extended Essay (EE), I chose a topic within Microeconomics; more specifically, contestable market theory. In this academic research paper, I investigated the following research question: “To what extent has the degree of contestability in the electric vehicle market changed in the United States between 2014 and 2019?”
Grade achieved: A
• In the May 2020 session, only 7.17% of candidates (2,975 out of 41,486) who wrote an Extended Essay on a social science achieved this maximum grade.
• Around 180 out of ~4,100 candidates who wrote an Economics Extended Essay achieved an A (above the 95th percentile), making it one of the hardest subjects to write an EE on.
• Overall, only 10.63% of candidates achieved an A on their Extended Essay in May 2020.
Today’s Economic Landscape and What’s on the Other SideSavannah Whaley
SPG Trend Advisors is a boutique consultancy that provides global economic research for business and other decision makers. With fifty years combined experience between the principals, and through its website, SPG Trend Advisors provides insightful analysis and forecasting to prepare senior executives for tomorrows trends.
PRESENTATIONResearch question and literature reviewEffects o.docxharrisonhoward80223
PRESENTATION
Research question and literature review
Effects of corporate income tax avoidance in the economy
What the question adds to the existing literature.
Several scholars have done research on how avoidance if corporate income tax has increased their pay as well as the corporations' profits.
They have not explained on how the avoidance of corporate tax has affected the economy.
The Corporate income tax is among the major sources of the federal revenue, through research in 2014 it raises about $320.7 billion in the fiscal year, 10.6 percent of all the countries’ revenue and 1.9 percent out of all the gross domestic product.
Economic framework.
When these corporate income taxes are avoided, the amount of money available to provide public goods and services reduces and consequently, the economy increased very much making it be out of balance.
Again, corporate income tax has contributed to budget shortfall. Corporations are complaining that there has been increased tax rate in the Federal income tax but what has led to this is the failure for many corporations to pay taxes on the amount of profits they make (Lebergott 2015).
Potential Data Sources
The target population will be ;
several CEOs in selected corporation
unions which deal with different corporations
the Fed which controls all the accounting and finances of the country
lastly is workers within those selected corporations
Importance of the Question
The importance of this research proposal will be to educate the relevant people on how this act of corporate income tax avoidance has towards the economy.
After which the expected measures will be taken to ensure that the economy is will control and people are not taxed very high (Onji and Tang 2015).
The gap between employees and the CEO pay affects the performance of the firm
Research shows that the size of the gap is determined the by the size of the firm of the industry (Carpenter and Sanders (2002).
But vertical pay disparity has negative effects on the firm, for example, the Korea firms
How the firm performance affects the CEO pay beyond what average employees make.
Between 1978 and 2014 after the inflation adjustments, CEO pay increased by about 1,000 percent while employees in the same period their pay increased by only 11 percent.
In this research, there are several factors which influence the firms pay apart from the individual CEO so the CEO is not to blame here and should just be paid despite the firms' performance (Pathak et.al 2014).
References
Carpenter, M. A., & Sanders, W. M. (2002). Top management team compensation: The missing link between CEO pay and firm performance? Strategic Management Journal, 23(4), 367-375.
Conyon, M. J., & Murphy, K. J. (2000). The prince and the pauper? CEO pay in the United States and the United Kingdom. The Economic Journal, 110(467), 640-671.
Gabaix, X., & Landier, A. (2006). Why has CEO pay increased so much? (No. w12365).
Nation.
The financial crisis has given birth to a debate on the effects of fiscal policy on economic activity, i.e. on fiscal multipliers. While there are now plenty of papers assessing fiscal multipliers for the U.S., we still have little knowledge about multipliers for economies such as Finland that have many distinguishable features. This paper estimates fiscal multipliers for the Finnish economy with a structural VAR model using Finnish data. The methodology of the model used is based on a much cited study by Blanchard and Perotti (2002). The study finds expenditure multipliers greater than 1 in the short run and tax multipliers half of that value. Nevertheless, tax multipliers are more persistent in time. With public investments also included in the public expenditure variable, the expenditure multiplier becomes more persistent.
The rapid growth of the US financial sector has driven policy debate on whether it is socially desirable. I propose a heterogeneous agent model with asymmetric information and matching frictions that produces a tradeoff between finance and entrepreneurship. By becoming bankers, talented individuals efficiently match investors with entrepreneurs, but do not internalize the negative effect on the pool of talented entrepreneurs. Thus, the financial sector is inefficiently large in equilibrium, and this inefficiency increases with wealth inequality. The model explains the simultaneous growth of wealth inequality and finance in the US, and why more unequal countries have larger financial sectors.
by Kirill Shakhnov, EUI †
JOB MARKET PAPER
First version: January 2015
This version: November 2014
Read more: https://www.hhs.se/site
This paper studies determinants of income inequality using a newly assembled panel of 16 countries over the entire twentieth century. We focus on three groups of income earners: the rich (P99-100), the upper middle class (P90-99), and the rest of the population (P0-90). The results show that periods of high economic growth disproportionately increases the top percentile
income share at the expense of the rest of the top decile. Financial development is also pro-rich and the outbreak of banking crises is associated with reduced income shares of the rich. Trade openness has no clear distributional impact (if anything openness reduces top shares). Government spending, however, is negative for the upper middle class and positive for the nine lowest deciles but does not seem to affect the rich. Finally, tax
progressivity reduces top income shares and when accounting for real dynamic effects the impact can be important over time.
Version of March 25, 2009. Please check for updates https://www.elsevier.com/
Read more research publications at: https://www.hhs.se/site
Informal Sector, Productivity and Tax CollectionDr Lendy Spires
The informal sector is a prominent characteristic of many developing countries. In recent years, there has been a large body of empirical work that tries to understand what determines the size of the informal.1Nonetheless, we are still far from understanding the relationship between the informal sector and the stage of economic development (La Porta and Shleifer (2008)). Is the informal sector good or bad for development? Some authors have argued that firms operating in the informal sector are less regulated and less taxed than firms in the formal sector, which allows them to operate more efficiently.
This, represents a positive force for development (see Schneider and Enste (2002)). In contrast, other authors have highlighted distortions that might arise in the presence of a large informal sector. For example, Lewis (2004) argues that informality distorts the “natural” competitive process as informal firms enjoy of an “unfair” cost advantage through tax avoidance; Farrell (2004) reports that some informal firms reduce their scale of operation in order to remain undetected by the government, which makes them less efficient; and Levy (2008) states that informality is a drag on the development process because it subsidizes employment in low-productive activities.
In this paper, I study the connection between the informal sector and economic development. I am interested in quantifying the effects on output and productivity of distortions associated with informality. To do this, I develop a general equilibrium model of occupational choice and capital accumulation that includes a tax collection policy with limited enforcement. Individuals have heterogeneous entrepreneurial abilities (as in Lucas (1978)) and each faces a discrete occupational choice: whether to be a formal entrepreneur, an informal entrepreneur or an employee. If formal, the entrepreneur pays taxes, if informal, the entrepreneur faces a probability of being caught that depends positively on the amount of capital hired.
The novelty in this paper is to connect informal sector data for a typical developing country to a general equilibrium model where the consequences of informality can be studied. I calibrate the model using data for Mexico, an economy where 31% of the employees work in informal establishments...
We study the effect of import competition on workers’ mental distress. To this purpose, we source information on the mental health of British workers from the British Household Panel Survey, and combine it with measures of import competition in more than 100 industries over 2001-2007. We find an increase in import competition to have a positive, statistically significant, and large impact on mental distress. The effect is strikingly robust to controlling for a wide range of individual, household, and industry characteristics. We show that part of the effect is due to import competition worsening the current labor market situation of individuals, in terms of higher probability of job displacement and lower wage growth. Additionally, and most importantly, we show that import competition worsens mental health also for individuals witnessing no change in observable labor market conditions, by increasing stress on the job and worsening expectations about the future.
Read more at https://www.hhs.se/site
Running head TOPIC SELECTION 1TOPIC SELECTION 4.docxtoltonkendal
Running head: TOPIC SELECTION 1
TOPIC SELECTION 4
Assignment 1: Research Topics with Explanation
Gregory Best
Dr. Roger Fontana
ENG 215
7/12/17
Topic One: Should taxes on people making over $250,000 a year be changed?
Reason for electing the topic
One of the principle reasons for imposing taxes is to reduce wealth and income inequality. Individuals who earn $250,000 a year are categorized as rich people. In the United States, rich people do not pay more taxes. This increases inequality in the distribution of wealth and income (Thio & Taylor, 2011). There is need to change taxation policies for those who earn $250,000 a year in order to reduce this type of inequality. The current progressive taxation system is not comprehensive. Despite ensuring that those who earn more money pay a higher rate of tax, individuals who earn less than 250000 are still overburdened by a more rates (Bös & Felderer, 2012). By changing the taxation policies, the government can be able to collect more income, thus reducing inequality by exempting poor people from paying hefty taxes. Tax proceeds gathered from the rich can be sufficient to provide facilities to the poor, thereby raising their standards of living.
Target Audience
The target audience for this essay will include policymakers, economists, and members of the public. Policymakers include legislators and opinion leaders who need to be enlightened on the need to reduce the ever-widening income inequality in the country. Economists can also gain insights into ways in which the hotly debated issue of income tax can be handled.
Thesis Statement: Increasing taxes for those who earn $250,000 and beyond can be an effective way to reduce income inequality in the United States.
Topic Two: Should Transportation Security (TSA) regulations be changed?
Reasons for Selecting the Topic
The Transportation Security Act 2006 was introduced with the primary objective of reducing risks faced by people who travel using public means of transportation. However, new risks and vulnerabilities emerge which have direct impacts in the security plans that are developed in airports, bus stations, and railway stations (Haines, 2011). There is need to re-examine the issue of transport security because democratic systems face a hard task on weighing their responsibility to protect their citizens while ensuring that there is free movement of goods and humans across the country (Marinik, 2011). With the constantly-changing security threats emerging from terrorist attacks and hacking, there is need to review the transportation security regulations.
Target Audience
The primary target audience for this essay includes key stakeholders in the transportation sector of the economy. They include transport cabinet secretary, legislators, investors in the private sector, and members of the public. Others include heads of transport parastatals and private institutions. Security agencies are also included on issues that have security implic ...
The growth in high- and low-skill jobs, coupled with little
growth in the middle-skill groups, has changed the composition
of the workforce. The leftmost bars in Chart 3 show the share of
U.S. workers in each skill category in 1980 and 2010. While both high-skill and low-skill job shares increased, the lower-middle skill group’s job share shrank. In 1980, nearly half of all workers were employed in lower-middle-skill occupations. Among the occupations in this group, machine operators accounted for 10 percent of the U.S. workforce and administrative support workers accounted for 18 percent.
Middle income jobs in the Portland-metro economyGene Miller
The data and analysis of this report were compiled by ECONorthwest for the Value of Jobs Coalition.
Portland-metro in this report refers to the Metropolitan Statistical Area of Portland-Vancouver-Hillsboro, OR-WA MSA.
Tässä tutkimuksessa tutkitaan diskreettien valintajoukkojen vaikutusta palkansaajien työn tarjonnan reagoimiseen tuloveroihin. Artikkelin empiirisessä osiossa hyödynnetään opintotuen tulorajojen aiheuttamaa tuloveroissa tapahtuvaa äkillistä nousua, ja reformia, jossa tulorajoja nostettiin. Tulosten mukaan vuoden 2008 reformi, jossa tulorajaa nostettiin 9 opintotukikuukautta nostaneille 9000 eurosta 12000 euroon, aiheutti merkittäviä muutoksia opiskelijoiden tulojakaumassa. Tulojakauma siirtyi korkeammalle tasolle lähtien noin 2000 euron tuloista. Koska opiskelijoiden verojärjestelmässä ei tapahtunut muutoksia näin alhaisella tasolla vuoden 2008 reformissa, eivät työn taloustieteen normaalit mallit pysty selittämään tätä siirtymää. Artikkelissa esitetään empiirisiä lisätuloksia, teoreettisia argumentteja ja simulaatiomalli, jotka kaikki viittaavat siihen, että tuloksen pystyy selittämään diskreettien valintajoukkojen mallilla. Lisäksi artikkelissa esitetään, että verotuksen hyvinvointitappiot voivat olla suuremmat kuin empiirisesti estimoidut, jos valintajoukot ovat diskreettejä, mutta niiden ajatellaan olevan jatkuvia.
2. 1. Introduction
Gomez and Wald (2010) argue that Ontario public sector salary disclosure
policies have had little effect on restraining the increase in top salaries at
public Ontario universities. A separate literature (discussed in the next
section) finds that in recent decades there has been a surge in overall
top-end incomes (as measured by taxfiler data) in many economies includ-
ing Canada.
In this study we link these two literatures by comparing the trends since
disclosure of top-end salaries of the entire Ontario public sector (rather than
universities alone) to top-end salaries of the overall Ontario economy. To
preview our findings, we demonstrate that during this period top public
sector salaries in Ontario have increased very substantially in real terms.
Except for school boards, the rate of increase has been approximately the
same as for top salaries for the Ontario economy as a whole. This suggestive
evidence supports and extends the Gomez and Wald conclusion that
disclosure has not restrained most top public sector salaries. We also find
that changes in top public sector salaries are much smoother than the
changes in the overall economy, consistent with the view that they are
bargained in internal labour markets (in the tradition of Doeringer and Piore,
1971) with at least short-run insulation from private sector labour markets.
We consider these findings in the context of hypotheses regarding the
overall surge in top-end incomes in Ontario and Canada. For example,
Ontario public sector salaries rose without any obvious direct effect from
globalization and without declining unionization. Hence, this finding is
suggestive evidence that these factors cannot be the only determinants of
the overall increase in top incomes. From a bargaining perspective, Gomez
and Wald (2010) note that it is possible that disclosure improved the
bargaining position of high-salary employees (by providing internal com-
parators and hence bargaining anchors), although there would be the
offsetting effect of increased public scrutiny. Another possible factor, which
might apply both inside and outside the public sector, may have been
reduced top marginal tax rates, which can improve an employee’s bar-
gaining position by enhancing the gains from taking an outside offer as in
Piketty, Saez and Stantcheva (2014).
Section 2 very briefly discusses some relevant literature. Section 3
describes our research questions, while Section 4 turns to our methodology.
Section 5 presents the results, while Section 6 offers some additional
discussion. Section 7 summarizes and concludes.
2. Literature
Over the last thirty years, there has been an increase in income inequality
in Canada largely due to an increase in the income share of the top 1%, top
460 VLAD DOBRESCU, STEFAN MIRKOVIC, SHABNAM MOHSENZADEH, MICHAEL R. VEALL
3. 0.1% and top 0.01% of income recipients. Updating Veall (2012), the
share of the market income received by the top 1% was 7.9% in 1982, 13.7%
in 2007 and 12.2% in 2010. Fortin et al. (2012), Murphy, Roberts and
Wolfson (2007) and Saez and Veall (2005, 2007) all document various
aspects of this top-end surge, where the last authors particularly emphasize
that the increase has been largely in salaries paid to highly-remunerated
employees.
The papers in Atkinson and Piketty (2007) and the updated data in
Alvaredo et al. (2012) make it clear that this top-end surge has occurred in
many countries. Veall (2012), Atkinson, Piketty and Saez (2011) and Orga-
nization of Economic Cooperation and Development (OECD 2011a, 2011b)
review a number of possible reasons for this trend, including skill-biased
technical change (see, for example, Katz and Murphy 1992), an increase in
global competition for high-earning workers coupled with an increase in
import competition that adversely affects lower-earning workers (see, for
example, International Labour Organization 2008), factors related to cor-
porate governance and reductions in top marginal tax rates. Others, for
example, Koeninger, Leonardi and Nunziati (2007) and Hacker and Pierson
(2010) emphasize the potential effects of changing labour market institu-
tions, such as declining unionization. However, narrowing the range of
explanations has been difficult. In part this has been because the taxfiler
data used by many of these studies did not have information on occupa-
tion or industry. In the United States, where the available taxfiler sample
is smaller but includes occupation information, Bakija, Cole and Heim
(2012) find that the top 0.1% surge has a very large financial industry
component. Using Canadian Census data, Fortin et al. (2012) find that the
top 1% surge is spread across many occupations.
As the Introduction describes, our study links this literature to the study
of the effects of the public disclosure of all Ontario salaries over $100,000
since 1996. Besides Gomez and Wald (2010), a few other papers have used
the Ontario salary disclosure data.1
These include Essaji and Horton (2010)
who find that university administrator salaries increased much more
quickly than faculty salaries over 1996 to 2005. Sen, Ariizumi, and De
Sousa (2009) and Sen, Voia and Woolley (2010) use Ontario salary disclo-
sure data as part of analyses to study how university faculty wages are
affected by publications and personal appearance respectively. Martinello
(2006) employs this source for some of his analysis of the relationship of
university revenues and faculty salaries. Reiter et al. (2009) find that
Ontario hospital CEO compensation was not related to hospital financial
performance, while Schnarr (2012) finds that it was related to measures of
patient satisfaction.
More generally, there is continuing policy focus by the government of
Ontario on the control of top public sector salaries.2
This is consistent with
TOP-END SALARIES AND THE ONTARIO PUBLIC SECTOR 461
4. a significant amount of public criticism of high public sector salaries in
Ontario and Canada with particular criticism of top-end salaries.3
3. Research Questions
In this section we outline our research questions and sketch some of our
results, with more detail in subsequent sections. Our first research question
concerns public sector salary determination. Since disclosure was intro-
duced, what happened to top-end Ontario public sector salaries relative to
the top end of the overall Ontario wage and salary income distribution? As
we have mentioned we find that the real rates of increase are large and
similar, a piece of evidence that suggests disclosure did not have a
restraining influence on the public sector increase.
A related research question is whether the time path of top public sector
salaries followed the time path of top salaries in the rest of the Ontario
economy, which over this period rose and fell twice: first with the dot-com
boom and bust, and second with the boom and bust associated with the
Great Recession. Our finding that top-end public sector salaries did not
follow this pattern but rose smoothly is consistent with an internal labour
market model in the tradition of Doeringer and Piore (1971), in which
top-end salaries are bargained with at least short-run independence from
the private sector labour market.
Our final set of research questions asks whether our findings regarding
top salaries in the Ontario public sector have implications for some of the
hypotheses regarding the overall surge in top-end incomes. For example,
the Ontario public sector does not participate significantly in international
trade and it has been consistently highly unionized.4
Yet it has still had a
top-end salary surge comparable to the economy as a whole. We will
discuss these and related aspects further in Section 6.
4. Data and Methodology
Since 1997 (covering 1996), there has been a public website register of all
salaries $100,000 and over for employees of what we call Ontario public
sector subsectors: the government of Ontario, Ontario government corpo-
rations (by which we mean Ontario crown corporations plus Hydro One
and Ontario Power Generation), Ontario public sector hospitals (virtually
all Ontario hospitals), Ontario public sector universities and colleges
(virtually all Ontario universities and colleges), Ontario publicly-funded
school boards and Ontario municipalities, but not the federal government.
While most of the studies of top incomes in the economy have used
taxfiler data, disclosure data has advantages over taxfiler data in analyzing
top salaries within the public sector of Ontario. First, while the taxfiler’s
462 VLAD DOBRESCU, STEFAN MIRKOVIC, SHABNAM MOHSENZADEH, MICHAEL R. VEALL
5. employer’s principal industry subsector (at the North American Industrial
Classification System [NAICS] 3-digit level) has recently become available
in some Canadian taxfiler data and could potentially be used to study
industries associated with the public sector, the available time period is
only 2000 to 2010. The disclosure data extends this back to 1996. The four
years from 1996 to 2000 appear to be potentially important. Using the
taxfiler data for all Ontario filers, the average salary (all figures in 2010
dollars) of the top 1% rose from $334K in 1996 to $510K in 2000, but fell
to $450K by 2010. The comparable 1996, 2000 and 2010 values for the top
0.1% are $1172K, $2120K and $1620K and for the top 0.01% $3620K, $7176K
and $5178K. So clearly the 1996 to 2000 period is useful for studying the
overall surge. (For comparative purposes, the average inflation-adjusted
income for all Ontario filers rose from $40K in 1996 to $44K in 2000 to $45K
in 2010, which is a much more modest rate of increase, about 10% from
1996 to 2000 or about 13% from 1996 to 2010.)
Also the disclosure data gives the specific institution of employment and
it avoids the issue that some of the NAICS codes in the taxfiler data mix
private and public sectors together.5
Finally unlike taxfiler data, the data set
is completely public: using the data does not involve loss of information
due to privacy protection and any research can be replicated without
paying the fees that access to taxfiler microdata entails.6
We divide the Ontario public sector into general provincial government,
universities and colleges, hospitals, municipalities, school boards, and
government corporations. When we are examining the top-end labour
income distribution within each subsector, we estimate the number in the
top 1%, 0.1% and 0.01% in each subsector using public sector employment
figures gathered by the Financial Management System (FMS) statistics.
FMS obtains the data from the Labour Statistics Division of Statistics
Canada, and monthly employment figures for various subsectors such as
general provincial and local governments, universities and colleges, health
and social service institutions, as well as government business enterprises
are publicly available in CANSIM Table 183-0002 (now terminated). Sala-
ries of these employees are then obtained from the disclosure data, more
formally the Public Sector Salary Disclosure (PSSD) data published by the
Ministry of Finance of the Government of Ontario.7
With these data we examine and compare top-end incomes in the
various public sector subsectors against top-end incomes for the province
overall. It is the availability of overall provincial data that limited our time
period to 2010. More recent disclosure data are available. For completeness
the public sector part of the analysis is updated with 2012 data in
Appendix 1, with very similar results.
Returning to the 1996–2010 calculations with the overall provincial data,
there is some issue as to what the appropriate comparison group is.
TOP-END SALARIES AND THE ONTARIO PUBLIC SECTOR 463
6. Suppose for example we are considering the rate of increase of top 0.1%
public sector salaries. One possible comparison group would be the top
0.1% wage and salary income recipients for the Ontario economy as a
whole, even though this group has a much higher average salary level
relative to the top 0.1% of the public sector alone. Another possibility
would be the top 1% wage and salary income recipients for the Ontario
economy as a whole, which has average salary levels somewhat closer to
the top 0.1% of the public sector. However, as we will show, the choice
makes little difference as the two comparison groups had about the same
rate of increase.
An alternative to examining top income trends within each group is to
examine trends in how many public sector employees are members of the
top 1%, top 0.1% and top 0.01% salary recipients for the Ontario population
as a whole. To do this we use all-Ontario salary thresholds for these top
groups from a custom run on the T1FF taxfiler data as provided by
Statistics Canada. The T1FF file is the universe of all taxfiles in Canada,
where we use only the Ontario portion. We then use the disclosure data to
analyze the salaries of the public sector employees above those thresholds.
We do this for public sector subsectors and, as an example, for individual
universities and colleges.
5. Results
Table 1 focuses on the top-end salary distribution within public sector
subsectors, with all figures throughout this study reported in 2010 dollars.
The first panel is provided for comparison. It is based on the custom run
we commissioned on the T1FF taxfiler data and shows that in 1996, the
minimum salary to be in the top 1% of all Ontario employees was $157,593
while the average salary income of all such earners was $333,919.
The next panels use the method described in Section 3 to calculate the
top end of the salary distribution for Ontario public sector subsectors. For
example in 1996 in public universities and colleges, the minimum salary to
be in the top 1% in this subsector was $134,990 with the average salary in
that group $157,965.
As would be expected, top-end salaries for Ontario as a whole are much
higher than those for any of the public sector subsectors. This is shown in
the table by comparing the thresholds and the averages in the top panel
with those of the others, with the difference greatest for the top 0.01%.
Even for the top 0.1%, in 2010 the average salary for all of Ontario was
$1,620,000 which is four to nine times greater than the comparable average
in any of the public sector subsectors.
Comparing the rates of change, the overall 1996–2010 Ontario rates of
change are 35% for the average increase in the top 1%, 38% for the top 0.1%
464 VLAD DOBRESCU, STEFAN MIRKOVIC, SHABNAM MOHSENZADEH, MICHAEL R. VEALL
7. and 43% for the top 0.01%, so it does not make a great deal of difference
which group one uses for comparisons. Most of the public sector subsector
rates of change are as high or higher. The rate of change of the average
salary of the top 0.01% of university and college employees is much higher
at 66%, consistent with the results for university administrators of Essaji
and Horton (2010) and Gomez and Wald (2010). The rates of change for
both thresholds and averages for the top 0.1% and top 0.01% for hospitals
Table 1. Trends in Top Employment Earnings in Ontario, by Public Subsector,
1996 and 2010
Number of
individuals Threshold (2010$) Average (2010$)
1996 2010 1996 2010
%
change 1996 2010
%
change
All Ontario Taxfilers
Top 1% 48,500 60,100 $157,600 $206,700 31% $333,919 $449,600 35%
Top 0.1% 4,900 6,000 549,900 732,500 33% 1,171,664 1,620,000 38%
Top 0.01% 490 600 2,001,300 2,857,000 43% 3,618,875 5,177,700 43%
Universities and colleges
Top 1% 970 1,484 134,990 172,036 27% 157,965 213,347 35%
Top 0.1% 97 148 194,406 270,600 39% 223,080 329,811 48%
Top 0.01% 10 15 262,705 387,237 47% 295,081 489,047 66%
Hospitals
Top 1% 1,885 2,346 n.a. 125,225 n.a. n.a. 204,702 n.a.
Top 0.1% 189 235 203,858 315,256 55% 252,704 395,491 57%
Top 0.01% 19 23 324,990 492,960 52% 401,030 602,930 50%
General provincial government
Top 1% 849 927 135,691 189,286 39% 161,315 215,610 34%
Top 0.1% 85 93 191,250 250,150 31% 212,020 268,449 27%
Top 0.01% 8 9 230,640 299,539 30% 272,039 334,598 23%
Municipalities
Top 1% 1,604 2,740 n.a. 126,351 n.a. n.a. 147,501 n.a.
Top 0.1% 160 274 139,512 176,880 27% 154,745 206,557 33%
Top 0.01% 16 27 175,581 253,634 44% 183,808 288,165 57%
School boards
Top 1% 2,084 2,621 n.a. 116,667 n.a. n.a. 130,249 n.a.
Top 0.1% 208 262 140,146 157,852 13% 152,821 175,973 15%
Top 0.01% 21 26 168,133 200,945 20% 180,456 224,485 24%
Government corporations
Top 1% 582 949 131,483 186,233 42% 155,947 239,925 54%
Top 0.1% 58 95 181,830 302,000 66% 260,463 428,925 65%
Top 0.01% 6 9 413,453 619,497 50% 498,539 790,185 59%
Notes to table: n.a. indicates that the 1% threshold was below the $100,000 and hence all the salaries for
that group could not be obtained. The All Ontario values are from a custom run provided by Statistics
Canada from the T1FF taxfiler file. Some values are rounded by Statistics Canada during the disclosure
process. All the remaining values in the table are from the Public Sector Salary Disclosure (PSSD) data
published by the Ministry of Finance of the Government of Ontario.
TOP-END SALARIES AND THE ONTARIO PUBLIC SECTOR 465
8. and for government corporations are also above 50%. In municipalities, the
average for the top 0.1% grew by 33% and by 57% for the top 0.01%. The
percentage increases for average top-end salaries in the provincial govern-
ment are about the same for the province as a whole for the top 1%
although somewhat lower for the top 0.1% and 0.01%. The increases for
school boards for the top 0.1% and 0.01% are distinctly lower at 15% and
24% respectively and hence are the main exception to our overall finding
that top-end public sector salary increases were as large as top-end private
sector salary increases.
Now let us examine the time path. Figure 1 gives the cumulative (since
1996) inflation-adjusted percentage changes for each year 1996–2010 in the
top 0.1% salaries for the Ontario economy. For example, the year 2010
value of 38% corresponds to the inflation-adjusted increase for the top 0.1%
between 1996 and 2010 as given in the previous paragraph. Clearly the All
Ontario top salaries have been quite volatile: first rising then falling with
the dot-com boom/bust and then again with the strong economy of 2002
to 2007 followed by the Great Recession in 2008. But the only public sector
subsector with that pattern is government corporations. The other public
sector subsector top salaries either move smoothly with no obvious posi-
tive correlation to the overall economy trend or with even some sign of
Figure 1. Real cumulative percentage changes since 1996 in salaries in the top 0.1% of
subsectors and all of Ontario, by year, 1996–2010
466 VLAD DOBRESCU, STEFAN MIRKOVIC, SHABNAM MOHSENZADEH, MICHAEL R. VEALL
9. negative correlation in the case of the general provincial government
subsector.
Table 2 examines the same data through a different lens, that is the
“membership” of the most highly paid Ontario public sector employees in
the groups of the top 1%, top 0.1% and top 0.01% highly paid employees
Table 2. Membership of Ontario Public Sector Employees in the Top 1%, Top 0.1% and
Top 0.01% of the Overall Ontario Employment Earnings Distribution, by Subsector,
1996 and 2010
Number of
individuals
Average income
(2010$)
% of subsector
employees
% of
taxfilers
1996 2010 1996 2010 1996 2010 1996 2010
All Ontario Taxfilers 4,853,400 6,014,300
top 1% 48,500 60,100 $333,919 $449,600
top 0.1% 4,900 6,000 $1,171,664 $1,620,000
top 0.01% 490 600 $3,618,875 $5,177,700
Universities and colleges 96,967 148,397
Ontario’s top 1% 325 575 $187,087 $256,504 0.34% 0.39% 0.01% 0.01%
Ontario’s top 0.1% 0 1 – $1,041,881 – 0.00% – 0.00%
Ontario’s top 0.01% 0 0 – – – – – –
Hospitals 188,515 234,606
Ontario’s top 1% 532 850 $207,095 $301,700 0.28% 0.36% 0.01% 0.01%
Ontario’s top 0.1% 0 2 – $743,304 – 0.00% – 0.00%
Ontario’s top 0.01% 0 0 – – – – – –
General provincial gov’t 84,945 92,713
Ontario’s top 1% 474 372 $173,503 $249,377 0.56% 0.40% 0.01% 0.01%
Ontario’s top 0.1% 0 0 – – – – –
Ontario’s top 0.01% 0 0 – – – – –
Municipalities 160,400 274,008
Ontario’s top 1% 58 87 $168,374 $246,287 0.04% 0.03% 0.00% 0.00%
Ontario’s top 0.1% 0 0 – – – – – –
Ontario’s top 0.01% 0 0 – – – – – –
School boards 208,434 262,055
Ontario’s top 1% 46 23 $169,916 $227,277 0.02% 0.01% 0.00% 0.00%
Ontario’s top 0.1% 0 0 – – – – – –
Ontario’s top 0.01% 0 0 – – – – – –
Gov’t corporations 58,162 94,922
Ontario’s top 1% 135 574 $206,808 $268,871 0.23% 0.60% 0.00% 0.01%
Ontario’s top 0.1% 1 3 $656,827 $1,047,599 0.00% 0.00% 0.00% –
Ontario’s top 0.01% 0 0 – – – – – –
Ontario public sector 797,424 1,106,700
Ontario’s top 1% 1,570 2,481 $190,267 $273,152 0.20% 0.22% 0.03% 0.04%
Ontario’s top 0.1% 1 6 $656,827 $945,214 0.00% 0.00% 0.00% 0.01%
Ontario’s top 0.01% 0 0 – – – – – –
Notes to table: From Public Sector Salary Disclosure (PSSD) data published by the Ministry of Finance of
the Government of Ontario as compared to thresholds obtained from custom run by Statistics Canada on
T1FF file, as described in Table 1.
TOP-END SALARIES AND THE ONTARIO PUBLIC SECTOR 467
10. for Ontario as a whole. The number of public sector employees in Ontario’s
top 1% increased from 1,570 individuals in 1996 to 2,481 in 2010. That is a
58% increase, while public sector employment in general increased 39%
over the same period. (Public sector membership in Ontario’s top 0.1% is
negligible.)
Figure 2 shows that of the public sector members in the top 1% of all
Ontario, between 1996 and 2010 the share in school boards fell from an
already low level. The share in general provincial government also
fell quite sharply. The main increase was the share in government
corporations.
Table 3 gives the figures for membership in the overall Ontario top 1%
for public universities and colleges, although it can be seen the vast
majority of the members are at universities. Membership in the top 1%
from universities has generally increased, with the exceptions of the
University of Ottawa and Laurentian University. Of those in the top 1%,
real salaries increased over the period for most institutions by values
between 30% and 50%, which is slightly higher than for the overall Ontario
1%. Table 3A in Appendix 2 provides the rate of change for the highest
paid person at each university and college, finding that between 1996 and
2010 over the 39 institutions studied, the average salary growth was 79%.
Figure 2. Breakdown of Public Sector Membership in Ontario’s 1%, by
Subsector, 1996 and 2010
468 VLAD DOBRESCU, STEFAN MIRKOVIC, SHABNAM MOHSENZADEH, MICHAEL R. VEALL
11. Table 3. Membership of Ontario University Employees in the Top 1% of the Overall
Ontario Employment Earnings Distribution, by University, 1996 and 2010
Universities and Colleges
Number of
individuals in
Ontario’s 1%
Average salary of
individuals in
Ontario’s 1%
Institution 1996 2010
%
change 1996 2010
%
change
University of Toronto 138 219 59% $184,631 $254,857 38%
University of Western Ontario 47 61 30% 201,973 250,732 24%
McMaster University 25 40 60% 188,407 264,023 40%
York University 21 62 195% 177,728 249,883 41%
University of Ottawa 20 13 −35% 183,935 264,813 44%
Queen’s University 19 33 74% 187,975 254,796 36%
University of Windsor 7 13 86% 178,145 235,830 32%
Wilfrid Laurier University 7 8 14% 191,785 244,948 28%
University of Guelph 6 12 100% 185,749 253,473 36%
University of Waterloo 6 21 250% 199,249 291,016 46%
Brock University 4 7 75% 183,957 248,553 35%
Ryerson University 4 14 250% 184,087 271,967 48%
Laurentian University 3 2 −33% 177,541 264,408 49%
Algonquin College of Applied Arts and Technology 2 3 50% 203,583 262,157 29%
St. Clair College of Applied Arts and Technology 2 1 −50% 159,452 295,680 85%
Carleton University 1 6 500% 209,866 244,277 16%
Centennial College 1 4 300% 176,135 260,920 48%
Conestoga College of Applied Arts & Technology 1 2 100% 162,301 279,497 72%
George Brown College of Applied Arts and
Technology
1 2 100% 181,797 284,650 57%
Georgian College of Applied Arts & Technology 1 1 0% 167,699 278,475 66%
Humber College 1 7 600% 170,069 261,362 54%
Lakehead University 1 1 0% 219,425 219,872 0%
Mohawk College of Applied Arts and Technology 1 3 200% 165,251 237,788 44%
Niagara College of Applied Arts & Technology 1 2 100% 189,904 270,192 42%
Seneca College of Applied Arts and Technology 1 4 300% 162,424 266,036 64%
Sheridan College of Applied Arts and Technology 1 3 200% 163,287 242,820 49%
Sir Sandford Fleming College 1 1 0% 179,471 281,359 57%
St. Lawrence College Saint–Laurent 1 1 0% 161,818 284,044 76%
Trent University 1 300% 199,006 276,113 39%
Cambrian College of Applied Arts & Technology 0 1 – – 227,155 –
Collège Boréal 0 1 – – 244,278 –
Confederation College of Applied Arts and
Technology
0 1 – – 267,793 –
Durham College of Applied Arts & Technology 0 1 – – 269,626 –
Fanshaw College 0 1 – – 265,949 –
La Cité collégiale 0 1 – – 324,278 –
Lambton College 0 1 – – 279,717 –
Loyalist College 0 1 – – 259,227 –
Nipissing University 0 2 – – 265,121 –
Sault College 0 1 – – 266,678 –
Notes to table: From Public Sector Salary Disclosure (PSSD) data published by the Ministry of Finance of
the Government of Ontario as compared to thresholds obtained from custom run by Statistics Canada on
T1FF file, as described in Table 1.
TOP-END SALARIES AND THE ONTARIO PUBLIC SECTOR 469
12. We conclude that the rate of change between 1996 and 2010 in top-end
Ontario public sector salaries was overall similar to that of the top-end for
the Ontario population as a whole, but the time path of increase was much
smoother. The rates of change were higher for public universities and
colleges, hospitals, government corporations, and were lower for school
boards.
6. Further Discussion
The main conclusion of Gomez and Wald (2010) has been supported and
extended. Our evidence suggests that salary disclosure did not restrain top
public-sector salaries, because they increased very substantially and by
about the same rate as top private sector salaries. Top salaries paid by
school boards increased more slowly and are the main exception.
Do these findings also provide any evidence about possible explanations
for the economy-wide top-end income/salary surge? Possibly, but we do
not want to overstate the consequences. For one, the income distribution
responses to any policy change come with long and uncertain lags, so any
changes from 1996 to 2010 may be in response to events from a number of
years earlier. What follows is therefore somewhat speculative.
One explanation of the top-income surge mentioned by Veall (2012) was
that managers were able to gain income at the expense of other workers
through outsourcing or related methods, given increased international
competition due to the lowering of trade barriers. Another explanation,
considered by Koeninger, Leonardi and Nunziata (2007), Hacker and
Pierson (2010) and Fortin et al. (2012) centres on the decline of unioniza-
tion. While by no means rejected, these explanations do not receive support
in our analysis because the Ontario public sector top-end share increases
are similar to those for the general Ontario population. But the Ontario
public sector is not a traded goods sector and the Ontario public sector
remains largely unionized.
Turning to the other theories of the top-salary surge that were men-
tioned in Section 2, our findings say little in support or opposition of
top-income surge explanations based on skill-biased technical change or
the globalization of the market for managerial talent. Another explanation
discussed by Veall (2012) hinges on responses to reductions in marginal
rates of taxation, either through increased labour supply or reduced
avoidance. (In Ontario top marginal personal income tax rates (federal plus
provincial) declined from 52.3% in 1995 to 47.9% in 2000 to 46.4% in 2010.)
The broad conclusion of the volume edited by Slemrod (2000) and Saez,
Slemrod and Giertz (2012), both of which have some focus on the United
States, is that it seems unlikely the labour supply elasticity with respect to
tax changes at the top end is very large. While the avoidance response is
470 VLAD DOBRESCU, STEFAN MIRKOVIC, SHABNAM MOHSENZADEH, MICHAEL R. VEALL
13. potentially larger, in this research we have examined salaries and wages
before deductions in the public sector employment where avoidance is
difficult. Hence none of the surge in top public-sector salaries is due to
lower marginal tax rates leading to reduced tax avoidance.
However, as has been noted, the smooth increase in top Ontario public
sector salaries (excepting those in government corporations) during a
period of extreme volatility in overall Ontario salaries lends some support
to internal labour market/bargaining approaches.8
Piketty, Saez and
Stantcheva (2014) argue that marginal tax reductions in a bargaining
context may actually increase employee salaries as they increase the
employee incentive to take an outside option and hence improve her/his
bargaining position. It may be that this explains some increases in some
public sector contexts, as it may in the private sector. There is also the
possibility pointed out by Gomez and Wald (2010) that disclosure itself
contributed to top salary increases in the public sector for example by
helping each employee in turn anchor her/his bargaining position in the
highest existing comparator salary, leading to what Ross (1948) described
as “orbits of coercive comparison.” It could be this effect outweighed any
restraining effect of increased public scrutiny.
There may also be a geographical within-Ontario dimension (where for
example top-end incomes have risen more rapidly in Toronto than else-
where; see Murphy and Veall, 2012). This is left for further study.
7. Summary and Conclusions
Over the last thirty years there has been a rise in inequality in Canada and
Ontario largely due to increased top-end salaries. Following the study by
Gomez and Wald (2010) of the university sector, we examine the Ontario
public sector aspect of this rise since 1996 by using salary disclosure data.
Between 1996 and 2010, the rate of increase in top-end salaries in Ontario
public sector subsectors is similar to that for top-end salaries in the Ontario
economy as a whole, and much greater than the rate of growth of average
incomes, suggesting disclosure itself had little restraining effect. The rate of
increase in top-end salaries has been highest for employees of public
universities and colleges, hospitals and government corporations (our
name for crown corporations plus Hydro One and Ontario Power Gen-
eration). School boards is the one public sector subsector where top-end
salaries rose much more slowly than did top-end salaries overall. Disclo-
sure did not include federal government employees.
That top-end public sector salaries are growing at about the same rate
as salaries in the top-end of the overall Ontario salary distribution is a
fragment of evidence against the hypotheses that the overall Ontario surge
can be explained by falling trade barriers (that weaken the position of
TOP-END SALARIES AND THE ONTARIO PUBLIC SECTOR 471
14. employees in traded goods industries versus their management who have
the option of outsourcing), because the public sector does not largely deal
in traded goods. Similarly the surge is not due to declining unionization
because the Ontario public sector has been highly unionized throughout
this period.
While the evidence seems neutral with respect to the hypotheses that the
top-end surge is due to skill-biased technological change or the globaliza-
tion of the international market for talent, top public sector salaries (except
those in government corporations) rose steadily throughout a period of
two sharp increases and two sharp decreases in overall top salaries. This
evidence may be mildly supportive of approaches linked in internal labour
markets and bargaining (Doeringer and Piore 1971). In this context, one
possibility is that the information released by disclosure actually contrib-
uted to the surge in top public-sector incomes. Another possibility is the
Piketty, Saez and Stantcheva (2014) hypothesis that an increase in top-end
incomes can be a consequence of reductions in top marginal tax rates, as
occurred in Ontario over this period. This is not largely because of an
induced increase in labour supply (which is likely to be small) or reduced
avoidance (which is likely irrelevant to our observed public sector salaries
before tax deductions) but rather because it increases the value of an
outside offer to employees and hence strengthens their bargaining position.
These are only two hypotheses in the array of possible bargaining/internal
labour market approaches that are left for further research. But regardless
of the cause of the top-end public sector surge in Ontario, our data
reinforce the view that public sector salary disclosure has done little to
restrain it.
Notes
1 Saani and Murphy (2010) discuss high earners in the context of public salary disclosure
using Census data.
2 From the budget document Ontario’s Economic Outlook and Fiscal Plan (Government of
Ontario, 2013): “Additionally, an advisory panel will be appointed to review compensation
practices for senior executives in the broader public sector. The panel’s mandate will
include the consideration of hard caps on compensation while recognizing the need to hold
senior executives accountable for results. . .Salaries have been frozen for designated execu-
tives at hospitals, universities, colleges, school boards and provincially owned electricity
companies. All aspects of compensation plans are frozen, and base salaries cannot be
increased. In addition, the overall performance pay envelopes at designated employers are
frozen. These restraint measures will be in place until the Budget is balanced in 2017–18.”
3 For example, Clemens and Palacios (2013) wrote a well-publicized Fraser Institute study
arguing that public sector salaries were generally too high. The Ontario NDP leader has
called hospital executive compensation packages “exorbitant” (McMahon, 2012). Dehaas
(2013) argues that university salaries in Ontario are excessive.
4 In all of the subsectors we study, some of those with top salaries are outside the union, in
which case salaries will be bargained directly between the employer and the employee and
any restraining influence by the union will be indirect and due to any effect top salaries (or
472 VLAD DOBRESCU, STEFAN MIRKOVIC, SHABNAM MOHSENZADEH, MICHAEL R. VEALL
15. the policies that govern them) may have on union/management negotiations. However,
some of those with top incomes are unionized. In some unionized cases (for example,
university faculty), direct bargaining with the employer over salary is still allowed under
the collective agreement. In some unionized cases (for example, the Ontario government),
the range of salaries for a position is given by the collective agreement but there can be
individual bargaining over the grade of a position. More generally the nature of the
collective agreement will influence the dispersion of salaries within the union. However,
even with these potential influences from unions, the surge in Ontario public sector salaries
is not dissimilar to the surge in private sector salaries.
5 Relevant NAICS codes might include Educational services (611), Ambulatory health care
services (621), Hospitals (622), Nursing and residential care facilities (623), Social assistance
(624), Heritage institutions (712), Provincial and territorial public administration (912) and
Local, municipal and regional public administration (913).
6 There are of course shortcomings. Most obviously the disclosure data is restricted to
those earning $100,000 a year or more. Also, the disclosure data is at the institutional
level so that if someone works part of a year at a particular institution, the reported
salary will be only for that part. The employment income data from Canadian taxfiler
data includes all income paid to the individual as an employee for the year, regardless
of the number of employers.
7 Suppose for example that the FMS data estimated that for a particular subsector in a
particular year, there were 100,000 employees. Then the top 1% would be 1000 employees.
Then the disclosure data would be used to find the salaries of the top 1000 employees in
that subsector. Fractions of employees are rounded to the nearest whole number.
8 Kaufman (2007a) argues persuasively that there must always be some element of bargaining
in labour markets because of transactions costs (without which, all labour would be hired
as independent contractors). Kaufman (2007b) is a related but more extensive argument in
support of the institutional approach as opposed to the neoclassical approach epitomized
by “supply and demand.”
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TOP-END SALARIES AND THE ONTARIO PUBLIC SECTOR 475
18. Appendix 1
The disclosure data published in spring of 2013 is consistent with the
earlier trends discussed. The top earners in universities and colleges,
hospitals, municipalities and government corporations had salary growth
rates higher than those in the general provincial government, and school
boards. Ontario taxfiler data for 2012 is not available at the time of writing.
Table 1A. Trends in Top Employment Earnings in Ontario, by Public Subsector,
1996 and 2012
Threshold ($2010) Average income ($2010)
1996 2012
%
change 1996 2012
%
change
Universities and colleges
Top 1% $134,990 $175,218 30% $157,965 $216,436 37%
Top 0.1% 194,406 278,637 43% 223,080 333,253 49%
Top 0.01% 262,705 406,362 55% 295,081 464,450 57%
Hospitals
Top 1% n.a. 121,477 n.a. n.a. 206,057 n.a.
Top 0.1% 203,858 355,140 74% 252,704 408,343 62%
Top 0.01% 324,990 488,622 50% 401,030 566,815 41%
General provincial government
Top 1% 135,691 183,449 35% 161,315 212,980 32%
Top 0.1% 191,250 251,564 32% 212,020 270,178 27%
Top 0.01% 230,640 299,363 30% 272,039 340,917 25%
Municipalities
Top 1% n.a. 124,244 n.a. n.a. 146,682 n.a.
Top 0.1% 140,396 174,735 24% 155,530 207,073 33%
Top 0.01% 176,092 250,613 42% 184,343 285,163 55%
School boards
Top 1% n.a. 114,109 n.a. n.a. 127,627 n.a.
Top 0.1% 140,146 156,931 12% 152,821 173,801 14%
Top 0.01% 168,133 203,280 21% 180,456 224,332 24%
Government corporations
Top 1% 131,483 180,233 37% 155,947 235,833 51%
Top 0.1% 181,830 296,902 63% 260,463 425,455 63%
Top 0.01% 413,453 534,500 29% 498,539 802,357 61%
Note: FMS public sector employment data was discontinued in March 2012. As a
result the 2012 employment figures were obtained by averaging the figures for
January, February and March.
476 VLAD DOBRESCU, STEFAN MIRKOVIC, SHABNAM MOHSENZADEH, MICHAEL R. VEALL
19. Appendix 2
The highest earners in Ontario’s universities and colleges saw, on average,
a 79% real growth in their salaries from 1996 to 2010. High growth rates
were not unique to universities. Many colleges had above-average growth
in the salaries of their top earners.
Table 2A. Salary of Highest Earners in Universities and Colleges, by Institution,
1996 and 2010, ($2010)
Institution 1996 2010 % change
University of Toronto $365,075 $697,020 91%
University of Western Ontario $336,046 $469,837 40%
Wilfrid Laurier University $293,392 $354,871 21%
Queen’s University $273,198 $382,800 40%
McMaster University $269,675 $448,977 66%
University of Waterloo $244,533 $1,041,881 326%
York University $242,088 $480,030 98%
Algonquin College $240,361 $332,576 38%
University of Guelph $234,050 $440,590 88%
University of Windsor $230,506 $317,000 38%
University of Ottawa $221,815 $395,000 78%
Lakehead University $219,425 $219,872 0%
Brock University $217,460 $333,576 53%
Carleton University $209,866 $320,072 53%
Ryerson University $204,325 $365,000 79%
Trent University $199,006 $310,259 56%
Laurentian University of Sudbury $190,994 $304,647 60%
Niagara College Canada $189,904 $329,224 73%
George Brown College $181,797 $353,647 95%
Sir Sandford Fleming College $179,471 $281,359 57%
Centennial College $176,135 $306,867 74%
Humber College $170,069 $403,406 137%
Georgian College $167,699 $278,475 66%
Mohawk College $165,251 $276,114 67%
Sheridan College Institute $163,287 $256,431 57%
Seneca College $162,424 $379,510 134%
Conestoga College $162,301 $351,928 117%
St. Lawrence College $161,818 $284,044 76%
St. Clair College $160,771 $295,680 84%
Sault College $153,798 $266,678 73%
Confederation College $151,797 $267,793 76%
Nipissing University $151,172 $277,600 84%
Durham College $149,923 $269,626 80%
Loyalist College $149,573 $259,227 73%
La Cité collégiale $146,285 $324,278 122%
Cambrian College $146,268 $227,155 55%
Collège Boréal $146,158 $244,278 67%
Fanshawe College $143,097 $265,949 86%
Lambton College $139,944 $279,717 100%
Average salary of highest earners $197,712 $351,102 79%
TOP-END SALARIES AND THE ONTARIO PUBLIC SECTOR 477