Decomposing US regional income inequality from 1969 to 2009

This article analyses changes in levels and composition of income inequality among US counties from 1969 to 2009. It also decomposes inequality using the Theil coefficient into between-State and within-State inequality. The article finds that income inequality has increased in the period studied with between-State inequality decreasing and within-State inequality increasing. We subsequently decompose income inequality into the proportion arising from differences in productivity and employment–population ratios across counties. The results suggest that inequality arising from differentials in labour productivity has fallen over the period studied while those arising from employment–population ratio differences have increased.     

TRENDS IN INEQUALITY USING CONSUMPTION-EXPENDITURES: THE U.S. FROM 1960 TO 1993

While much of the evidence suggests that there was an increase in inequality in the U.S. during the 1980s, the reasons are less evident. Using the U.S. Consumer Expenditure Survey data, we find that the inequality of consumption-expenditures, as well as the inequality of other measures of resources, widened considerably during the 1980s. While previous studies suggest that increasing inequality is mainly due to increases in within group inequality, we show that by decomposing inequality by the interaction of family type and education almost three-fourths of the increase in inequality is accounted for by changes in inequality between groups and by shifts in the population.     

World income inequality and its components

About 65 percent of total income inequality in the non-communist world is accounted for by international inequality, and about 35 percent by inequality within nations. More than 70 percent of international inequality is accounted for by the inequality of two major regions.     

中国农村的收入差距与健康

随着收入差距的扩大,收入分配对健康和健康不平等的影响日益受到关注。本文利用中国健康营养调查(CHNS)1997年和2000年农村的面板数据回答两个问题:收入差距对健康的影响以及影响健康的方式;收入差距的扩大是否会导致健康不平等的加剧,尤其是低收入人群的健康是否受到更为不利的影响。研究发现,首先收入差距对健康的影响存在滞后效应;其次,收入差距对健康的影响呈现“倒U”型,在收入差距较高时,收入差距对健康的影响主要为负向的,一个可能的原因是收入差距影响到公共卫生设施的供给。再次,收入差距的扩大会加强收入效应,其含义是如果低收入人群的收入更容易受到负向冲击,那么收入差距对低收入人群的健康更为不利。     

Income Inequality and Economic Growth: Evidence from American Data

While most cross-country studies find a negative relationship between income inequality and economic growth, studies that use panel data suggest the presence of a positive relationship between inequality and growth. This paper uses a cross-state panel for the United States to assess the relationship between inequality and growth. Using both standard fixed effects and GMM estimations, this paper does not find evidence of a positive relationship between inequality and growth but finds some evidence in support of a negative relationship between inequality and growth. The paper, however, shows that the relationship between inequality and growth is not robust and that small differences in the method used to measure inequality can result in large differences in the estimated relationship between inequality and growth.     

Fairness and inequality tolerance: Evidence from the Life in Transition Survey

This paper examines the link between inequality and individual well-being using household survey data from 27 transition economies, where income inequality increased considerably since 1989. A test of inequality aversion in individual preferences that draws on the Fehr and Schmidt (1999) specification of inequality aversion is proposed, and the difficulties of implementing it in a non-experimental setting are discussed. Estimates based on this model confirm aversion to inequality among individuals both in the pooled sample and separately among the EU and non-EU countries. The Gini index, on the other hand, is unable to capture this negative effect of inequality on well-being. Notably, inequality aversion is not intrinsic. Rather, it appears to be tied to a concern with the fairness of the institutions underlying the distribution of fortunes in society. The evidence is suggestive of inequality of opportunity driving attitudes toward overall inequality.     

Consumption,income and earnings inequality in Britain

This paper presents an analysis of the trends in inequality across income, earnings and consumption in Britain since 1978. It documents the episodic nature of inequality growth over this period largely dominated by the inequality ‘boom’ in earnings inequality of the 1980s. It builds a consistent picture across these key measures of inequality to provide a coherent link between the microeconomic and macroeconomic analysis of the evolution of inequality.     

Long term trends in fair and unfair inequality in the United States

This article analyses the microeconomic sources of wage inequality in the United States from 1967–2012. Decomposing inequality into factors categorized by degree of personal responsibility, education explains over twice as much of inequality today as 45 years ago. However, neither hours worked nor education, industry, marital status, or geographical location can explain the rise in income inequality. In fact, ‘unfair’ inequality (income disparity derived from non-responsibility factors) has risen faster than ‘fair’ inequality (income disparity derived from responsibility factors), regardless of the set of variables chosen as fair sources of inequality. We further examine income inequalities within gender and racial groups, finding substantial heterogeneity. Overall, using micro data to understand the sources of inequality and how these changes over time can provide better information for policymakers motivated to combat rising inequality.     

TRENDS IN LONG-RUN VERSUS CROSS-SECTION EARNINGS INEQUALITY IN THE 1970s AND 1980s

This paper uses the PSID to assess the changes in earnings mobility and to compare the changes in cross-section and long-run inequality in the 1970s and 1980s. Previous inequality studies have primarily used measures of cross-section inequality. However, long-run inequality depends not only on cross-section inequality, but also on the degree of earnings mobility, which equalizes earnings over time. I find that earnings mobility increased during the 1970s, but fell during the 1980s. Consistent with this result, the increase in cross-section inequality overstated the true increase during the 1970s, but understated the true increase in inequality during the 1980s.     

Inequality at Low Levels of Aggregation in Chile

Despite success in poverty reduction, inequality in Chile has remained virtually unchanged over the last 20 years. High levels of inequality have been shown to hamper further reductions in poverty as well as economic growth, and local inequality has been shown to affect such outcomes as violence and health. The study of inequality at the local level is thus crucial for understanding the economic wellbeing of a country. Local measures of inequality have been difficult to obtain, but recent theoretical advances have enabled the combination of survey and census data to generate estimates of inequality that are robust at disaggregated geographic levels. We employ this methodology to produce consistent and precise estimates of inequality for every county in Chile. We find considerable heterogeneity in county‐level estimates of inequality, with Gini coefficients ranging from 0.41 to 0.64.     

"NOMINAL" AND "REAL" INTERSTATE INCOME INEQUALITY IN THE UNITED STATES: SOME ADDITIONAL EVIDENCE

Using a good inequality index, and data on personal income and cost-of-living estimates for the period 1981–90, interstate inequality in "nominal" and "real" personal income per capita is compared. Four points are noted. First, inequality in real income is smaller than that in nominal income. Second, while the nominal-income inequality shows the well-known increase over the 1980s, real-income inequality declined during the period. Third, inequality patterns in the wage and the non-wage components of income are somewhat different. Last, even the nominal-income inequality indicates a decline in the early 1990s.     

资本积累与最优银行规模

本文回顾了近半个多世纪以来有关收入和财富分配持续性不平等的原因及其动态演化方面的理论,包括收入和财富分布的随机过程模型、新古典框架下不平等的动态演化理论、人力资本投资对持续性不平等的影响、不完全资本市场下持续性不平等的动态演化、经济增长中持续性不平等的动态演化以及其他各种机制对不平等动态演化的影响等。论文还对有关持续性不平等理论的发展脉络和内在演化逻辑进行了梳理,并在此基础上对现有文献进行了总体评述,并对今后研究的发展方向作了简单讨论。     

When income differences hurt or excite: The nonlinear effect of regional inequality on subjective wellbeing

Combining information from the European Union Statistics on Income and Living Conditions and the European Social Survey, we investigate the relationship between subjective well-being and income inequality using regional inequality indicators and individual data. We assume that inequality aversion and perception of social mobility affect the impact of regional inequality on subjective well-being in opposite directions. We find evidence of an inverse U-shaped effect of inequality, where inequality starts to have a positive effect on subjective well-being that becomes negative with a switch point before the average of the Gini index for the entire sample. The rationale for our nonlinear finding is that Hirschman's tunnel effect (and the positive effect of perceived social mobility) prevails for low levels of inequality, while inequality aversion and negative relative income effects are relatively stronger when inequality is higher. Robustness checks on different sample splits are consistent with the hypothesis of the two drivers.     

Testing inequality of opportunities in Italy using the ANOVA framework

While the analysis of inequality has been central to economic studies for centuries, it was only in recent years that studies have concentrated on the distinction between inequality of opportunity and inequality of returns to effort and have attempted empirical estimates of the two components. The decomposition of a general inequality index into these two components allows to analyse the prevalence of fair or unfair income inequality within a country. This paper suggests to test the differences between the two sources of inequality in a simple way using the ANOVA framework adapted to decompose the coefficient of variation, to better suit the requirements of an inequality index. The proposed procedure is applied to the Italian Survey on Income and Living Condition (IT-SILC data, wave 2005 and 2011). The empirical results help identifying the circumstances that foster the rise of inequality of opportunities in Italy. Our analysis shows, in particular, that father education, region of residence and gender result as the most relevant circumstances determining inequality of opportunity. On the other side, the role of mother education starting from a lower level as an inequality of opportunity factor has increased its influence over time.     

Earnings inequality and the business cycle

Economists have long viewed recessions as contributing to increasing inequality. However, this conclusion is largely based on data from a period in which inequality was increasing over time. This paper examines the connection between long-run trends and cyclical variation in earnings inequality. We develop a model in which cyclical and trend inequality are related, and find that in our model, recessions tend to amplify long-run trends, i.e. they involve more rapidly increasing inequality when long-run inequality is increasing, and more rapidly decreasing inequality when long-run inequality is decreasing. In support of this prediction, we present evidence that during the first half of the 20th century, when earnings inequality was generally declining, earnings disparities indeed appeared to fall more rapidly in downturns, at least among workers at the top of the earnings distribution.     

Twenty Years of Rising Inequality in U.S. Lifetime Labour Income Values

In this paper we study the evolution of lifetime labour income inequality by constructing present value life cycle measures that incorporate both earnings and employment risk. We find that, even though lifetime income inequality is 40% less than earnings inequality, the total increase in lifetime income inequality over the past 20 years is the same as earnings inequality. While the total increase is the same, the pathways there differ with earnings inequality experiencing a steady increase and lifetime income inequality increasing in spurts particularly in the latter half of the 1990s. Finally, we find the changes in lifetime income inequality are primarily driven by changes in earnings mobility and changes in the earnings distribution itself, changes in employment risk and the composition of the sample, such as the shift toward attaining more education and the ageing population, do not play a large role.     

Effects of growing wage disparities and changing family composition on the U.S. income distribution

U.S. income inequality soared after 1979. The present paper estimates the contribution of increased earnings inequality to the surge in overall income inequality between 1979 and 1996. The direct contribution of increased earnings inequality is surprisingly modest. Even if male and female earnings inequality had remained unchanged at their 1979 levels, about two thirds of the observed increase in overall U.S. inequality would have occurred. Other factors contributing to higher overall inequality include the growing correlation of husband and wife earned incomes and the increasing percentage of Americans who live in single-adult families, families that typically have much more unequal incomes than husband–wife families.     

GROWTH, POVERTY, AND INEQUALITY IN LATIN AMERICA: A CAUSAL ANALYSIS, 1970–94

Taking advantage of consistent poverty and income inequality data for 12 Latin American countries between 1970 and 1994, we analyze the determinants of changes in the incidence of urban and rural poverty and in Gini coefficients over spells of years, stressing in particular the role of aggregate income growth. We find that income growth reduces urban and rural poverty but not inequality. We also find that income growth is more effective in reducing urban poverty if the levels of inequality and poverty are lower, and the levels of secondary education higher. We show that there is an asymmetry in the impact of growth on poverty and inequality, with recession having strong negative effects on both poverty and inequality. Since growth does not reduce inequality, economic cycles create ratchet effects on the level of inequality. However, post-structural adjustment growth is quite effective at reducing poverty, particularly if inequality is low.     

Earnings inequality and unemployment in South Africa

Unemployment and earnings inequality have moved together remarkably closely in South Africa in recent years. This article explores the relationship between unemployment and earnings inequality in South Africa, investigating the extent to which changes in unemployment can account for changes in earnings inequality. Static and dynamic decompositions of earnings inequality by employment status reveal the centrality of unemployment in accounting for the both level and trend of earnings inequality. The distribution of employment in the formal and informal sectors is found to be of lesser importance in explaining earnings inequality, as is wage dispersion within each of these categories. The findings point to the central importance of reducing unemployment in South Africa if the extremely high levels of inequality are to be reduced.     

Trading places: Does past growth impact inequality?

Using a broad panel dataset and semiparametric methods, the impact of past economic growth on current income inequality is examined. Increases in past short-run or medium-run growth rates raise current inequality. However, there is an inverted “U”-shaped relationship between past long-run growth and current inequality. Increases in past long-run growth rates raise current inequality in slow-growing economies and reduce current inequality in rapidly growing economies.