ACCOUNTING FOR URBAN CHINA'S RISING INCOME INEQUALITY: THE ROLES OF LABOR MARKET,HUMAN CAPITAL,AND MARRIAGE MARKET FACTORS

This paper analyzes China's rising family income inequality since the early 1990s when the urban labor market started its transformation from a centrally controlled to a market‐driven one. We document the trends in income inequality over the period of 1992–2009 using the Urban Household Survey data, and adopt the approach recently proposed by Eika et al. (2014) to decompose changes in income inequality. We find that labor market factors accounted for about three‐quarters of the overall increases in income inequality while falling marriage rate contributed the other quarter. Changes in human capital levels and marital assortativeness have not contributed to the rising inequality. (JEL D31, I26, J12)     

USING THE PARETO DISTRIBUTION TO IMPROVE ESTIMATES OF TOPCODED EARNINGS

Inconsistent censoring in the public‐use March Current Population Survey (CPS) limits its usefulness in measuring labor earnings trends, as previous approaches for imputing topcoded earnings systematically understate top earnings. Using Pareto estimation methods with less‐censored internal data, we create an enhanced cell‐mean series to capture top earnings in the public‐use data. Annual earnings inequality trends since 1963 using our series largely mirror those found by Kopczuk, Saez, and Song using social security administration data for commerce and industry workers. When we extend our analysis to 2013 and consider all workers, earnings inequality levels are higher but its growth is more modest. (JEL C81, D31, J01)     

Illustrating the Implications of How Inequality is Measured: Decomposing Earnings Inequality by Race and Gender

This paper makes three distinct contributions: it presents a novel modification to an established methodology for assessing inequality using the CPS ASEC data, it illustrates how valuable a multi-metric inequality analysis is by reconciling some open questions regarding the trend in inequality and the role of the composition of income along the distribution, and it provides a baseline assessment of the trend in earnings inequality for four distinct groups of income earners. The evolution of earnings inequality from 1995 to 2010 is compared to increasing inequality in total income as documented by Thomas Piketty and Emmanuel Saez to show that earnings inequality has followed a qualitatively similar, though less extreme trend. In the process, the disconnect between the trend in the Gini coefficient and inequality assessed via the share of income going to the top 1 % of income earners is reconciled through the use of several alternative inequality indices. Finally, the evolution of the earnings distribution for black women, black men, white women, and white men are considered separately, which shows that there are important differences in the experience of inequality. The main findings are that only white men have experienced changes in within-group earnings inequality that parallel the changes in inequality seen in the overall distribution. By contrast, black income earners have seen no notable increase in within-group inequality by any measure, suggesting that they may rightly perceive growing inequality as primarily a between-group phenomena.     

INEQUALITY AND TRUST: NEW EVIDENCE FROM PANEL DATA

We estimate the causal link from income inequality to generalized trust by reconsidering the country‐level evidence on this issue. First, we exploit the panel dimension of the data, thus controlling for any country unobservable time‐invariant variables, and find a negative relationship between the two variables that holds only for developed countries. Second, we focus on these advanced economies and provide instrumental variable estimates using the predicted exposure to technological change as an exogenous driver of inequality. According to our findings, the negative causal effect of inequality on trust is even larger than that coming from ordinary least squares estimation. We also provide new insights on the effects of different dimensions of inequality, exploiting measures of both static inequality—such as the Gini index and top income shares—and dynamic inequality—proxied by intergenerational income mobility. (JEL D31, O15, Z13)     

THE GREAT OVERESTIMATION: TAX DATA AND INEQUALITY MEASUREMENTS IN THE UNITED STATES, 1913–1943

Historical measures of income inequality in the United States must grapple with the challenge of data quality. We examine one such problem affecting the well-known estimates of income inequality produced by Piketty and Saez (2003) using the records of the Internal Revenue Service (IRS). Prior to 1943, incomes were self-reported. Combined with lax enforcement on the part of the IRS, self-reporting of incomes could provide a misleading portrait of the income distribution. To test the accuracy of IRS records, we compare them to independently tabulated state income tax returns between 1919 and 1945 from states with more comprehensive and rigorously enforced tax collection procedures. State income tax records show lower overall levels of income inequality than IRS records. However, we still find that top income concentrations declined across the period between 1929 and World War II. These findings attest to the sensitivity of distributional estimation to the reporting selectivity and economic quality of underlying tax data, suggesting that the existing IRS-derived series systematically overstates top-income concentration in the interwar period. (JEL H2, N32, D31, E01)     

Analysing the effects of tax-benefit reforms on income distribution: a decomposition approach

To assess the impact of tax-benefit policy changes on income distribution over time, we suggest a methodology based on counterfactual tax-benefit simulations. Changes in inequality/poverty indices are decomposed into three contributions: changes in the tax-benefit structure, changes in nominal levels of market incomes and tax-benefit money parameters, and all other changes, including shifts in market income inequality and demographic composition. The policy effect can be evaluated conditionally on base-period data or end-period data; it is also possible to average the two measures, which corresponds to an application of the Shapley value method as reinterpreted by Shorrocks (Decomposition Procedures for Distributional Analysis: A Unified Framework Based on the Shapley Value, University of Essex and Institute for Fiscal Studies, Wivenhoe Park, 1999). The decomposition is used to quantify the relative role of policy changes on inequality/poverty trends in France and Ireland in the 1990s. When end-period data are not available, e.g., for forward looking analysis of possible reforms, the base weighted decomposition helps to extract an absolute measure of the impact of tax-benefit changes on income distribution as evaluated against a distributionally neutral benchmark; in our application, it is not significantly different from the policy effect stemming from the Shorrocks-Shapley decomposition. Estimates of this type are derived to assess recent policy changes in twelve European countries.     

Income Inequality across the Rural-Urban Continuum in the United States, 1970–2016*

The growth in macro-level income inequality in the United States is well established, but less is known about patterns of inequality at subnational scales and how they vary between and within rural and urban localities. Using data from the Decennial Census and American Community Survey, we produce estimates of within-county income inequality from 1970 to 2016 and analyze differences in inequality levels, the persistence of high (low) inequality, and populations' exposure to high (low) inequality across the rural-urban continuum. We find that income inequality has historically been higher in non-metropolitan than metropolitan counties, but inequality levels converged by 2016 due to growing inequality in metropolitan counties. Additionally, levels of inequality were generally persistent within counties over time, except that counties characterized by low inequality in 1970 were unlikely to remain as such in 2016. Third, non-trivial shares of the metropolitan population resided in low-inequality contexts in 1970, but virtually none of the U.S. population resided in such places by 2016. Residence in high-inequality counties is normative in rural and urban America. This statistical analysis provides an updated portrait of income inequality across the rural-urban continuum, and should spur additional research on stratification in rural America during an era of growing inequality.     

THE DECOMPOSITION OF INEQUALITY BY CLASS AND BY OCCUPATION:

Sociological research on earnings and income has focused on predicting individual income. Analyses most often use occupational status or class, along with other economically relevant variables, to explain earnings or income variations among individuals (income determination). Aggregate inequality (income distribution) has received considerably less attention, except in cross-national research. This especially holds for applying central concepts of stratification to the analysis of inequality. That is, class and occupation differences in economic rewards are rarely used to investigate aggregate earnings or income inequality. This study, using 1976 and 1977 Panel Study of Income Dynamics survey data, estimates the proportion of total earnings/income inequality accounted for by class and by occupation. Theil's index is used to measure earnings and income inequality and thus decompose total inequality into between-and within-group components. Wright's five-category schema is replicated for decomposition of inequality by class and a traditional four-category ordinal typology for decomposition by occupation. The two schemas show similar results: both class and occupation respectively account for between one-fifth and one-fourth of total earnings and income inequality. The results show the relevance of these central stratification typologies for the analysis of aggregate inequality.     

Characteristics of cities that pass living wage ordinances: Are certain conditions more conducive than others?

Cities that have passed living wage ordinances often do so because of the strong political appeal of local living wage campaigns as a response to the declining value of the minimum wage, the outsourcing of municipal services, and rising income inequality. These campaigns generally consist of coalitions of community organizations, religious groups, and often times labor organizations. Organized labor is not the primary force behind most living wage campaigns, but they are an important constituency. Unexplored, however, are the labor market and other characteristics of those cities that have passed ordinances. This paper looks at data from the Current Population Survey (CPS) and compares cities that passed living wage ordinances to those that did not. Cities in states with high union density, and with higher levels of income inequality and larger immigrant populations appear to be more likely to pass living wage ordinances than those cities that do not have these demographics. But as important as union support may be, without key demographic and economic characteristics, it is nonetheless insufficient to achieve living wage ordinances in most cases.     

Increasing health inequality in China: An empirical study with ordinal data

This paper employs a recently introduced method of income-health matrix to study health inequality in China. The method overcomes the problems associated with ordered self-reported health (SRH) responses when the conventional tools of inequality analysis are used. Applying the new method to the China Health and Nutrition Survey (CHNS) data, we find that over the study period of thirteen years, health inequality has increased by more than one hundred percent in spite of the multifold increase in average income. We conclude that the most likely explanations for the recent increase in China’s health inequality are: aging population, worsening income inequality and poverty, division between urban and rural, and environment deterioration.     

Growth with equity: income inequality in Vietnam, 2002–14

We use the 2002 through 2014 Vietnam Household Living Standards Surveys to construct comparable measures of household income and estimates of income inequality over this high-growth period. We focus on two questions: How have benefits from growth been distributed; and do changes in the structure of the economy map into changes in inequality? We explore dimensions in which inequality may vary, notably urban versus rural, and by ethnic status. We also decompose inequality by income source to highlight key factors underlying the relatively low levels of inequality during this period. We find that agricultural opportunities played an important role in dampening inequality, but more important has been the steady development of wage-labor markets in both urban and rural areas. An important caveat to the generally rosy picture we paint is the deteriorating position of ethnic minorities. Finally, we draw comparisons with China and document key differences in their growth-inequality experiences.     

A New Kuznetsian Dynamic: The Knowledge Economy and Income Inequality in the United States, 1917–2008

The rise of the knowledge economy resulted in higher levels of income inequality in the United States and forced many to question the Kuznets Inverted‐U hypothesis. However, this study argues that the establishment of a knowledge economy does not negate the importance of employment shifts for income inequality. Instead, the expansion of knowledge employment alters the major sectors that are responsible for the overall distribution of income. To this end, this article presents the key argument that the current service–knowledge transition impacts income inequality trends, of today, in a way that is similar to the agricultural–industrial transition, of the past. According to the autoregressive conditional heteroskedasticity regressions, the agricultural–industrial transition returns stronger associations with income inequality in the United States before 1950. The agricultural–industrial transition's impact diminishes thereafter as the service–knowledge transition shares a more robust association with income inequality after 1980.     

The implications of mean scaling for the calculation of aggregate consumer elasticities

Mean scaling is a common assumption in the estimation of aggregate consumer elasticities—in particular, expenditure elasticities, but also (implicitly) compensated price elasticities. The assumption is that each household’s income changes in the same proportion as aggregate income. If correct, that implies no bias in the use of aggregate data for estimation of expenditure elasticities. If incorrect, though, there may be substantial bias, especially if there is a high degree of inequality in the underlying income distribution, and regardless of whether one uses micro or aggregate data. We explore this issue, both theoretically and illustratively, using realistic (empirically derived) elasticity estimates coupled with relatively high and low degrees of income inequality.     

Growing up global and equal? Inequality trends among world children, 1980–2005

Children are increasingly expected to grow up global yet their worldwide inequality is understudied; while countries’ incomes may be converging, it is unclear whether children's outcomes also do. This paper investigates the recent trends in global inequality among children. Findings show a fall in resource inequality, driven by Asia's exponential economic growth and Africa's slowing fertility trends. Paradoxically, this resource convergence occurred alongside divergence in infant mortality. Such findings have three implications. First, they caution against assuming automatic convergence in children's well-being in response to income convergence between nations. Second, they illustrate how national differences in age dependency account for global inequality among children. Third and more broadly, they stress the importance of demographic and policy – in addition to economic – convergence in bridging substantive inequality among the world‘s children.     

INCOME INEQUALITY: THE CONSEQUENCES OF SKILL‐UPGRADING WHEN FIRMS HAVE HIERARCHICAL ORGANIZATIONAL STRUCTURES

During the last three decades, most developed countries have experienced increasing income inequality. Using Danish register data from 1992 to 2007 for all private‐sector employees, we confirm that income inequality has increased in Denmark. We also observe an increase in the relative employment of highly educated individuals, as well as differential income growth rates across employee subgroups where, in particular, managers experienced significant real income progression. We use an equilibrium search framework with on‐the‐job search to study the interplay between skill‐upgrading, management compensation, and income inequality. In this model we can determine the management and education premia. We can also show that when our model is exposed to skill‐upgrading, it is capable of producing income dynamics similar to those observed in the Danish income distribution. (JEL J3, J6, M5)     

Income inequality and self-reported values

What is the relationship between income inequality and the values people endorse? Using survey data from all thirty-four OECD countries over a period of almost thirty years, we investigate the following dimensions of value systems: work ethic, civism, obedience, honesty, altruism, and tolerance. In most cases, no robust relation to income inequality is detected. However, we find some evidence that larger income disparities are associated with a stronger work ethic. This suggests that income inequality might spur hard work not only through pecuniary incentives but also because it makes people attach a symbolic value to being laborious.     

An Ex-Post View of Inequality of Opportunity in France and its Regions

This paper proposes an ex-post measure of inequality of opportunity in France and its regions by assessing the inequality between individuals exerting the same effort. To this end, we define a fair income that fulfils ex-post equality of opportunity requirements. Unfairness is measured by an unfair Gini based on the distance between the actual income and the fair income. Our findings reveal that the measures of ex-post inequality of opportunity largely vary across regions, and that this is due to differences in reward schemes and in the impact of the non responsibility factors of income. We find that most regions have actual incomes closer to fair incomes than to average income, excepted Ile de France where the actual income looks poorly related to effort variables. Finally, we find that income inequality and inequality of opportunity are positively correlated among regions.     

Performance pay,the marriage market and rising income inequality in Taiwan

Taiwan expanded its college access significantly over the past two decades by converting 2-year junior colleges to 4-year colleges and relaxing entrance standards. The share of college graduates in the 22–24 years old population rose from 12 to 71% between 1990 and 2014. This should have suppressed returns to schooling and lowered household income inequality. Instead, Taiwan’s Gini coefficient rose. We show that rising use of performance pay and positive assortative mating in the marriage market jointly increase the household income inequality by 46.5% between 1980 and 2014. Our results suggest that uneven quality of the most recent cohorts of college graduates led to two sources of rising household income inequality: the increased use of bonus pay which increases residual inequality among college graduates; and matching on unobserved skills in the marriage market which increases inequality among married couples.

     

Improving the Measurement of the Relationship between Opportunities and Income: Evidence from Longitudinal Data from Chile

The relationship between exogenous circumstances faced in early childhood (opportunities) and earnings has been increasingly studied in the past decade. In this article we assess the sensitivity of this relationship to different income measures. Typically the empirical evidence is based on short‐term income measures that suffer from variability and measurement error. Using longitudinal data from Chile, we find that when four‐ and seven‐year earnings are used, the relationship between inequality of opportunity and income inequality is significantly higher than that obtained with yearly measures. Monte Carlo simulations with several data‐generating processes confirm this result. This supports policies targeted to reduce long‐term income inequality via providing equal opportunity to individuals at early stages in life.     

Source decomposition of changes in income inequality: the integral-based approach and its approximation by the chained Shapley-value approach

This paper proposes source decomposition of the change in income inequality between two time points using the integral-based approach (IBA) and the (chained) Shapley-value approach as its approximation. In comparison to static Shapley-value decompositions and traditional decompositions for the square of the coefficient of variation and the Gini index, the new dynamic Shapley-value approach is intuitively appealing as a decomposition procedure for changes in inequality. It is expected to yield relatively small differences among various inequality measures, essentially maintaining consistency with income source classification. Path dependency, a possible drawback of the new decompositions, is not expected to be a particular problem in the usual cases. The properties are illustrated for application to the increase in US family income inequality during 1979–1996. In this empirical study, the new decompositions showed a tendency that was clearly different from those of the existing decompositions, indicating that the proposed procedures shed new light on analysis of the causes of inequality changes. An extension to incorporate other factors such as family structure is also successful without loss of the desirable properties.