Trends In Earnings Inequality Research Articles

Occupational Status and Earnings Inequality: Evidence from PIHS 2001-02 and PSLM 2004-05

Wage/earnings inequalities are one source of overall inequality in a country. The former inequalities in turn are closely linked with differential occupational status either defined in a contractual or productive/skill sense. Using the Pakistan Standard Classification of Occupations [PSCO (1994)], this paper estimates Gini coefficients for three types (all types, employee, selfemployed) of individuals/earners by occupational status from the Pakistan Integrated Household Survey (PIHS) 2001-02 and Pakistan Social and Living Standards Measurement Survey (PSLM) 2004-05. Long-term trends in earnings inequality from 1992-93 to 2004-05 are documented with the benchmark estimates in the Ahmad (2002) study, while the short-term trends are measured from 2001-02 to 2004-05 for self-employed and paid employee. The long- as well as the short-term trends indicate rising earnings disparities within each occupational category. Over the longer period, these disparities have risen in the range of 50 to 100 percent. Shifts across occupation and across employment status indicate doubling of the share of Shop and Market Sales and Services Workers and the transition towards becoming self-employed. A few tentative explanations for the observed increasing occupational inequalities at the individual level are: (a) Availability of credit and improved efficiency of capital market may have relaxed capital constraints of former employees and enabled them to transit as self-employed. Right-sizing and down-sizing in public organisations may also have pushed the previous employees into utilising the ‘golden handshake’ packages towards self-employment. Assuming that returns on capital (internal or borrowed) are higher and financial contracts are more lucrative than wage contracts, the situation can lead to wider disparities. (b) At the paid employee level, the fall in the share of workers in elementary occupations improved the wage contracts of those still remaining in this occupation, and thereby increased the income/earnings inequality within this category. (c) Premium on skills, education, experience, and talent, in spite of the entry of a large number of individuals in the Service, Shop and Market Sales Workers category, has widened the inequalities within this category.

Rising between-workplace inequalities in high-income countries

It is well documented that earnings inequalities have risen in many high-income countries. Less clear are the linkages between rising income inequality and workplace dynamics, how within- and between-workplace inequality varies across countries, and to what extent these inequalities are moderated by national labor market institutions. In order to describe changes in the initial between- and within-firm market income distribution we analyze administrative records for 2,000,000,000+ job years nested within 50,000,000+ workplace years for 14 high-income countries in North America, Scandinavia, Continental and Eastern Europe, the Middle East, and East Asia. We find that countries vary a great deal in their levels and trends in earnings inequality but that the between-workplace share of wage inequality is growing in almost all countries examined and is in no country declining. We also find that earnings inequalities and the share of between-workplace inequalities are lower and grew less strongly in countries with stronger institutional employment protections and rose faster when these labor market protections weakened. Our findings suggest that firm-level restructuring and increasing wage inequalities between workplaces are more central contributors to rising income inequality than previously recognized.

Monopsony in Spatial Equilibrium

An emerging labor economics literature studies the consequences of firms exercising market power in local labor markets. These monopsony models have implications for trends in earnings inequality. The extent of this market power is likely to vary across local labor markets. In choosing what market to live and work in, workers trade off wages, rents and local amenities. Building on the Rosen/Roback spatial equilibrium model, we investigate how the existence of local monopsony power affects the cross-sectional spatial distribution of wages and rents across cities. We find an employment-weighted elasticity of land prices to concentration of –0.034—similar to Rinz (2018)’s reported elasticity of compensation to concentration. This finding has implications for who bears the economic incidence of labor market power. We present two extensions of the model focusing on the role of migration costs and worker skill heterogeneity.

Trends in earnings inequality and earnings instability among U.S. couples: How important is assortative matching?

We examine changes in inequality and instability of the combined earnings of married couples over the 1980–2009 period using Social Security earnings data matched to Survey of Income and Program Participation panels. Relative to male earnings inequality, the inequality of couples’ earnings is both lower in levels and rises by a smaller amount. We also find that couples’ earnings instability is lower in levels compared to male earnings instability and actually declines in these data. While wives’ earnings played an important role in dampening the rise in inequality and year-to-year variation in resources at the family level, we find that marital sorting and coordination of labor supply decisions at the family level played a minor role. Comparing actual couples to randomly paired simulated couples, we find very similar trends in earnings inequality and instability.

Earnings Inequality and Mobility Trends in the United States: Nationally Representative Estimates from Longitudinally Linked Employer-Employee Data

Using earnings data from the U.S. Census Bureau, this paper analyzes the role of the employer in explaining the rise in earnings inequality in the United States. We first establish a consistent frame of analysis appropriate for administrative data used to study earnings inequality. We show that the trends in earnings inequality in the administrative data from the Longitudinal Employer-Household Dynamics Program are inconsistent with other data sources when we do not correct for the presence of misused SSNs. After this correction to the worker frame, we analyze how the earnings distribution has changed in the last decade. We present a decomposition of the year-to-year changes in the earnings distribution from 2004-2013. Even when simplifying these flows to movements between the bottom 20%, the middle 60%, and the top 20% of the earnings distribution, about 20.5 million workers undergo a transition each year. Another 19.9 million move between employment and non-employment. To understand the role of the firm in these transitions, we estimate a model for log earnings with additive fixed worker and firm effects using all jobs held by eligible workers from 2004-2013. We construct a composite log earnings firm component across all jobs for a worker in a given year and a non-firm component. We also construct a skill-type index. We show that, while the difference between working at a low- or middle-paying firm are relatively small, the gains from working at a top-paying firm are large. Specifically, the benefits of working for a high-paying firm are not only realized today, through higher earnings paid to the worker, but also persist through an increase in the probability of upward mobility. High-paying firms facilitate moving workers to the top of the earnings distribution and keeping them there.

Trends in Earnings Inequality and Earnings Instability Among U.S. Couples: How Important is Assortative Matching?

Trends in Earnings Inequality and Earnings Instability Among U.S. Couples: How Important is Assortative Matching?

Trends in Earnings Inequality and Earnings Instability Among U.S. Couples: How Important is Assortative Matching?

We examine changes in inequality and instability of the combined earnings of married couples over the 1980-2009 period using two U.S. panel data sets: Social Security earnings data matched to Survey of Income and Program Participation panels (SIPP-SSA) and the Panel Study of Income Dynamics. Relative to male earnings inequality, the inequality of couples' earnings is both lower in levels and rises by a smaller amount. We also find that couples' earnings instability is lower in levels compared to male earnings instability and actually declines in the SIPP-SSA data. While wives' earnings played an important role in dampening the rise in inequality and year-to-year variation in resources at the family level, we find that marital sorting and coordination of labor supply decisions at the family level played a minor role. Comparing actual couples to randomly paired simulated couples, we find very similar trends in earnings inequality and instability.

Sectoral Trends in Earnings Inequality and Employment: International Trade, Skill-Biased Technological Change, or Labour Market Institutions?

Current studies addressing the rise in inequality confine themselves to country-level developments. This paper delineates trends in earnings inequality and employment at the sectoral level for eight LIS countries between 1985-2005. Earnings inequality mainly manifests itself within rather than between sectors. Yet, there is significant variation in the level of inequality across sectors whilst the differences between countries in intrasectoral inequality are much less pronounced. A general rise in intrasectoral earnings dispersion and a shift from the manufacturing industry towards the financial sector are perceptible. Crosssectional pooled time-series analyses indicate significant associations between the exposure to import and decreased employment within sectors, whilst no evidence is found for relations between earnings inequality and international trade or skill-biased technological change.

Earnings Dynamics and Inequality Among Men Across 14 EU Countries, 1994-2001: Evidence from ECHP

This paper analyses the dynamic structure of individual earnings across 14 EU countries over the period 1994-2001 using ECHP. Understanding wage mobility and its link with the evolution of cross-sectional earnings inequality is important from a welfare perspective, particularly given the large variety in national cross-sectional wage inequality. This is highly relevant in the context of the changes that took place in the EU labour market policy framework after 1995 under the incidence of the 1994 OECD Jobs Strategy, which recommend policies to increase wage flexibility, lower non-wage labour costs and allow relative wages to better reflect individual differences in productivity and local labour market conditions. What is the source of earnings variation? Did the increase in cross-sectional wage inequality observed in some countries result from greater transitory fluctuations in earnings and individuals facing a higher degree of earnings mobility? Or is this rise reflecting increasing permanent differences between individuals with mobility remaining constant or even falling? Are there common trends in earnings inequality and mobility across countries? Equally weighted minimum distance methods are used to estimate the covariance structure of earnings, decompose earnings into a permanent and a transitory component and conclude about their evolution. As expected, a notable change was an increased country heterogeneity, which translated itself in the level and evolution of the cross-sectional earnings inequality components. The decrease in cross-sectional inequality was accompanied by an increase in mobility, and therefore a decrease in the importance of the permanent component relative to the transitory component in Denmark, Belgium and Spain, and by a decrease in earnings mobility in Germany, France, UK, Ireland and Austria. In Luxembourg, Italy, Greece, Portugal, and Finland, the increase in cross-sectional inequality was accompanied by a decrease in mobility, whereas in Netherlands by an increase.

Corporate Governance and Earnings Inequality in the OECD Countries 1979-2000

The purpose of this article is to analyse the role of corporate governance in explaining cross-national differences and trends in earnings inequality in a sample of OECD countries between 1979 and 2000. It is argued that since corporate governance is fundamentally a question of in whose interest corporations are run, it will have important consequences for how the returns from production are distributed among the parties with a stake in the corporation. The article outlines an institutional approach to corporate governance and its cross-national variation as well as formulates a number of mechanisms whereby corporate governance may influence earnings inequality. The empirical assessment indicates that central aspects of these institutions, such as the role of the stock market in channelling capital to corporations, the extent of mergers and acquisitions, and protection of minority shareholders are all related to cross-national differences and trends in earnings inequality (as measured by the p90/p10 ratio). The conclusion is that corporate governance institutions and their respective managerial practices can make a significant contribution to our understanding of fundamental stratification processes.

Occupational Status and Earnings Inequality: Evidence from PIHS 2001-02 and PSLM 2004-05

Wage/earnings inequalities are one source of overall inequality in a country. The former inequalities in turn are closely linked with differential occupational status either defined in a contractual or productive/skill sense. Using the Pakistan Standard Classification of Occupations [PSCO (1994)], this paper estimates Gini coefficients for three types (all types, employee, selfemployed) of individuals/earners by occupational status from the Pakistan Integrated Household Survey (PIHS) 2001-02 and Pakistan Social and Living Standards Measurement Survey (PSLM) 2004-05. Long-term trends in earnings inequality from 1992-93 to 2004-05 are documented with the benchmark estimates in the Ahmad (2002) study, while the short-term trends are measured from 2001-02 to 2004-05 for self-employed and paid employee. The long- as well as the short-term trends indicate rising earnings disparities within each occupational category. Over the longer period, these disparities have risen in the range of 50 to 100 percent. Shifts across occupation and across employment status indicate doubling of the share of Shop and Market Sales and Services Workers and the transition towards becoming self-employed. A few tentative explanations for the observed increasing occupational inequalities at the individual level are: (a) Availability of credit and improved efficiency of capital market may have relaxed capital constraints of former employees and enabled them to transit as self-employed. Right-sizing and down-sizing in public organisations may also have pushed the previous employees into utilising the ‘golden handshake’ packages towards self-employment. Assuming that returns on capital (internal or borrowed) are higher and financial contracts are more lucrative than wage contracts, the situation can lead to wider disparities. (b) At the paid employee level, the fall in the share of workers in elementary occupations improved the wage contracts of those still remaining in this occupation, and thereby increased the income/earnings inequality within this category. (c) Premium on skills, education, experience, and talent, in spite of the entry of a large number of individuals in the Service, Shop and Market Sales Workers category, has widened the inequalities within this category.

Cross-national trends in earnings inequality and instability

We compare trends in earnings inequality in the United States, Germany, and Great Britain. Estimation of a heterogeneous growth model of permanent and transitory earnings variation reveals substantial convergence in the permanent component of inequality in these countries during the 1990s.

Levels and Long-Term Trends in Earnings Inequality

Over its history, the March Current Population Survey (CPS) has increasingly captured the upper tail of the distribution of all sources of income. This, together with time-consistency problems in top coding, means that users of both the public-use and restricted-access CPS will understate the level of wage earnings and income inequality in earlier years and overstate their growth over time. We address this problem by modeling the personal earnings of full-time, full-year workers using the generalized beta distribution of the second kind, calculating Gini coefficients from the estimated parameters, and comparing them with past findings.

Microdata Access and Labor Market Research: The U. S. Experience

The paper illustrates the value of broad researcher access to survey and administrative microdata using examples drawn from the U. S. experience, outlining how analyses of trends in earnings inequality, poverty and employment dynamics using such data have benefited policy makers and contributed to improvements in statistical agency data products. Methods of facilitating researcher access, including the release of public use files, the use of licensing agreements, and the establishment of research data centers, are discussed.

Temporal and regional variation in earnings inequality: urban China in transition between 1988 and 1995

This paper examines trends in earnings inequality in urban China between 1988 and 1995, focusing on regional variations in earnings determination and economic growth. Specifically, we examine how returns to human capital and political capital changed during this period and how these changes varied across cities experiencing differential rates of economic growth. We find that net returns to schooling almost doubled for both men and women during this period. Returns to party membership, net of other factors, more than doubled. However, these increases in returns to human capital and political capital do not account for a sharp rise in the overall level of inequality. Consistent with earlier research based on cross-sectional data, increases in returns to schooling were depressed in cities experiencing greater levels of economic growth in the intervening period.

Long term trends in earnings inequality: what the CPS can tell us

Changes in Current Population Survey (CPS) topcoding rules in the 1990s artificially increased measured earnings inequality. We create a time-consistent CPS data series and compare trends in earnings inequality from 1975 to 2001.

Trends in Earnings Inequality among Young Adults

The initial stage of labor market activity for young adults influences their labor market engagement and earnings profiles over their life cycle. I examine earnings inequality among young adults in a dynamic setting. Education, marital status, race are contributors to the observed earnings inequality. Earnings equalization is observed in the long run, and the proportion of earnings inequality attributed to education, marital status, and race is found to be significant.

Sources of Earnings Inequality in the Black and White Female Labor Forces

Earnings inequality trends and their sources from 1975 to 1986 are evaluated for two historically subordinate working groups—black and white women—using Current Population Survey data. The dual nature of women's employment, improved earnings opportunities, and continuing segregation into low-paying positions create conditions under which earnings inequality in these two groups is expected to increase. Two sources of changing inequality levels are examined to determine which better explains inequality trends: the redistribution of women across labor market positions, which should have occurred due to industrial restructuring; and changes in the rates of earnings returns to labor market positions. For both groups, changes in returns better explain positive inequality trends in the 1980s, although black women's earnings are somewhat more influenced than whites’ by their redistribution across labor market positions.

Trends in Male Earnings Inequality

This study uses newly available time series data on the U.S. earnings distribution to analyze trends in male earnings inequality between 1958 and 1977. The major finding is that the observed slow upward trend in earnings inequality is well explained by a small number of plausible economic factors. The paper has four parts. Part II briefly reviews related time series research on both earnings and income inequality. Male earnings inequality is considered from the human capital perspective in section III, and from a less structured approach in section IV. The last section is a summary and conclusion.