Income inequality and income segregation

This article investigates how the growth in income inequality from 1970 to 2000 affected patterns of income segregation along three dimensions: the spatial segregation of poverty and affluence, race-specific patterns of income segregation, and the geographic scale of income segregation. The evidence reveals a robust relationship between income inequality and income segregation, an effect that is larger for black families than for white families. In addition, income inequality affects income segregation primarily through its effect on the large-scale spatial segregation of affluence rather than by affecting the spatial segregation of poverty or by altering small-scale patterns of income segregation.     

Informatization, voter turnout and income inequality

In recent years, voter turnout has been decreasing in most industrial countries, and about 40% of all electors abstain from voting. This may affect income inequality and the GDP growth rate through a redistribution policy determined by majority voting. In this paper, we explore the reasons for this continuing decrease in voter turnout and assess its social costs. We conclude that informatization lowers voter turnout by generating an information overload, and that a decrease in voter turnout lowers GDP growth by limiting income redistribution.      

Intra-household income inequality and preferences for redistribution

Review of Economics of the Household - We empirically analyze the relationship between income inequality and individual preferences for public redistribution, focusing on intra-household income...     

Survey mode effects on measured income inequality

We study the effect of interview modes on estimates of economic inequality which are based on survey data. We exploit variation in interview modes in the Austrian EU-SILC panel, where between 2007 and 2008 the interview mode was switched from personal interviews to telephone interviews for some but not all participants. We combine methods from the program evaluation literature with methods from the distributional decomposition literature to obtain causal estimates of the effect of interview mode on estimated inequality. We find that the interview mode has a large effect on estimated inequality, where telephone interviews lead to a larger downward bias. The effect of the mode is much smaller for robust inequality measures such as interquantile ranges, as these are not sensitive to the tails of the distribution. The magnitude of effects we find are of a similar order as the differences in many international and intertemporal comparisons of inequality.     

Fuzzy measurement of income inequality: a class of fuzzy inequality measures

The typical practice of income inequality evaluation is by using inequality indices. Yet there is no best measure of inequality as we know it, and hence, any conclusion based on an inequality index must be subject to some doubts. Some authors even argued that the concept of inequality, by its very nature, is vague, and thus, cannot be measured like an exact concept. Motivated by these considerations, this paper studies axiomatic fuzzifications of inequality measures. Consequently, a systematic method of viewing the conclusions of inequality comparisons in terms of truth value statements is developed. Furthermore, it is shown that this method (or in fact, any other fuzzy inequality measure) can be used to construct confidence intervals for the crisp conclusions of inequality indices.I wish to thank Kaushik Basu, Larry Blume, Gary Fields, Tapan Mitra, Maurice Salles, Anthony Shorrocks, Sinan Unur, the participants of the 1993 Midwest Mathematical Economics Conference held in University of Wisconsin at Madison and those of the 2nd International Meeting of the Society for Social Choice and Welfare held at University of Rochester, and two anonymous referees for insightful comments and suggestions. Janos Aczel and Karol Baron kindly provided some help about a mathematical problem I faced, I am grateful to them. Needless to mention, however, the usual disclaimer applies.     

The effect of education,income inequality and merit on inequality acceptance

A large number of observational and experimental studies have explored the determinants of individual preferences for redistribution. In general, inequalities are more likely to be accepted by people of higher socioeconomic status, in richer societies and when inequalities are perceived as justifiable owing to differences in productivity. Almås et al. (2020) show that in a relatively unequal society (the United States), the highly educated accept inequality significantly more than the less educated, whereas, in a relatively equal society (Norway), the less educated accept inequality more, but not significantly more, than the highly educated. Here, we replicate this finding using data from experiments conducted in four locations across three countries all distinct from the ones studied by Almås et al. However, a closer look at the data indicates that the origin of the interaction effect varies depending on which societies one compares. Data for Norway and the United States indicate that meritocratic values among the highly educated are less prevalent in more equal societies and that this is the driver of the triple interaction effect. In contrast, in our data the interaction effects have multiple drivers.     

The impact of macroeconomic conditions on income inequality

This paper analyzes the relationship between macroeconomic factors and the income distribution using data on equivalized disposable household income from the United Kingdom for 1961–99. We argue in favour of fitting a parametric functional form to the income distribution for each year, and then modeling the time series of model parameters in terms of the macroeconomic factors, as this better allows us to take into account non-stationarity in the time series. Estimates from models that relate income distribution parameters to cyclical variables in first differences (to account for non-stationarity) suggest that neither inflation nor unemployment have significant effects on income inequality. Compared to the commonly-used method of modelling the income shares directly, our approach indicates that there was no clear cut relationship between macroeconomic factors and the UK income distribution during the last third of the twentieth century.     

Status and income inequality in a knowledge economy

This paper models a market for status contained in a knowledge economy. Technological progress favours the knowledge sector and inequality of income rises with productivity. We show that the expected utility of all agents can fall while output and productivity grow; and such an outcome of “immiserizing growth” hinges crucially upon the combination of concern for status and technology-induced rises in inequality.     

The impact of income inequality on values and attitudes

Scholars in several social science disciplines scholars have argued from their respective disciplinary perspectives that income inequality has a considerable impact on economic and social performance of a nation. This essay investigates the possible impact of income inequality on 290 values and attitudes in forty industrial nations from an economic perspective. The results show that inequality has a significant impact on values and attitudes especially concerning religion and the family.     

Trade openness and income inequality: New empirical evidence

We examine how trade openness influences income inequality within countries. The sample includes 139 countries over the period 1970–2014. We employ predicted openness as instrument to deal with the endogeneity of trade openness. The effect of trade openness on income inequality differs across countries. Trade openness tends to disproportionately benefit the relative income shares of the very poor, but not necessarily all poor, in emerging and developing economies. In most advanced economies, trade openness increased income inequality, an effect that is driven by outliers. Our results suggest a strong effect of trade openness on inequality in China and transition countries.     

A note on minimally progressive taxation and absolute income inequality

The Lorenz curve of income after tax is known to dominate the one before tax for all given pre-tax income distributions, if, and only if, average tax liability is increasing with income (Jakobsson 1976; Eichhorn et al. 1984). It is shown in this note that the absolute inequality of incomes (Kolm 1976) is unambiguously reduced by taxation if, and only if, tax liability is increasing with income.It is a pleasure to acknowledge the intellectual debt I owe to W. Eichhorn, H. Funke, and W. F. Richter whose result on progressive taxation and income inequality stimulated the present research. I am grateful to an anonymous referee whose comments on an earlier draft improved the paper.     

A simultaneous equation model of economic development and income inequality

The paper extends existing work on inequality and economic development by estimating a cross-country structural model that identifies bi-directional relationships between income inequality and other indicators of social and economic development. Overall, lower inequality is associated with improvements in other development indicators, but this is the result of several complex interactions. The most striking feature of the structural model is the insight it provides into the reasons behind the negative ‘Africa dummy’ in previous cross-country growth studies.     

Long-run effects of democracy on income inequality in Latin America

I address the link between democracy and inequality in Latin America, analyzing whether the degree of democracy that birth cohorts experience during the course of their formative years is related to labor income dispersion later, in adulthood. For this, I measure inequality at the cohort level by using pseudo-panel data built from household surveys for fifteen Latin American countries (from circa 1995 to circa 2011) and measure democracy as the discounted cumulative value of the degree of democracy during the cohort’s formative years. I find that cohorts that have higher discounted cumulative values of the degree of democracy show lower income inequality. However, the effect of democracy on income dispersion is driven by those cohorts that benefited from the surge of democracies that came to exist during the second half of the twentieth century. I also present suggestive evidence that education is one mechanism explaining these results.     

Correction to: Intra-household income inequality and preferences for redistribution

Review of Economics of the Household - The original version of this article unfortunately contained a mistake. Figure 2c was incorrectly labelled as Fig. 2b and the subfigure captions were missing...     

The effects of income inequality and income level on mortality vary by population size in Texas counties

OBJECTIVES: This study uses the counties of Texas to empirically test the predictions of Wilkinson's theory on the role of income and inequality in explaining health differentials in populations. Wilkinson predicts (1) that health is affected more by income inequality than average income in areas with large population, and (2) that health is affected more by average income than income inequality in areas with small population. We investigate how large the population of a unit must be for income inequality within the unit to affect mortality. METHODS: Measures of income inequality were computed from the 1990 U.S. census data and mortality was computed from Vital Statistics data. Poisson regressions estimated the age-adjusted relative risk of the top quintile relative to the bottom quintile for equality and for income among selections of Texas counties based on population size. County ethnic composition, educational level, and health care access were controlled for. RESULTS: Among counties with populations greater than 150,000, the risk of death was lower in counties with more equal income distribution than in counties with less equal income distribution. Among counties with population less than 150,000, median income affected relative risk in counties with less than 30 percent Hispanics, but not in those with more than 30 percent Hispanics. CONCLUSIONS: This study provides some support for the predictions of Wilkinson's theory.