Economic inequality in Spain: the european community household panel dataset

This article uses data from the 1998 European Community Household Panel to study economic inequality in Spain. It reports data on the Spanish distributions of income, labor income, and capital income, and on related features of inequality, such as age, employment status, educational attainment, and marital status. It also reports data on the income mobility of Spanish households, and data on income inequality in other European countries and in the US. We find that income, earnings, and, especially, capital income are very unequally distributed in Spain and that economic inequality in Spain is well above the European average.     

A TREATMENT OF ABSOLUTE INDICES OF POLARIZATION*

Absolute polarization indices remain unchanged under equal absolute augmentation in all incomes. This paper identifies the class of absolute polarization indices whose orderings of alternative income distributions agree with the rankings generated by nonintersecting absolute polarization curves. We explore the possibility of using the Kolm (1976) – Blackorby‐Donaldson (1980) ethical absolute inequality index in polarization measurement. We establish that although inequality and polarization are dissimilar concepts, different absolute inequality indices can be employed to design alternative absolute polarization indices. A numerical illustration is provided using Indian data and it is shown that inequality and polarization are different issues in income distribution analysis.     

Factor Components of Inequality: A Cross‐Country Study

This paper uses data from the Luxembourg Income Study to examine some of the forces that have driven changes in household income inequality over the last three decades of the twentieth century. We decompose inequality for six countries (Canada, Germany, Norway, Sweden, the U.K., and the U.S.) into the three sources of market income (earnings, property income, and income from self‐employment) and taxes and transfers. Our findings indicate that although changes in the distribution of earnings are an important force behind recent trends, they are not the only one. Greater earnings dispersion has in some cases been accompanied by a reduction in the share of earnings which dampened its impact on overall household income inequality. In some countries the contribution of self‐employment income to inequality has been on the rise, while in others, increases in inequality in capital income account for a substantial fraction of the observed distributional changes.     

Unemployment Shocks and Income Distribution: How did the Nordic Countries Fare during their Crises?

We study the inequality of disposable income in Denmark, Finland, Norway and Sweden during the late 1980s and early 1990s when unemployment rose dramatically in all four countries. A standard measure of inequality — the Gini coefficient – was surprisingly stable in all countries during this period. By decomposing the Gini into income components, we test hypotheses about the reasons for this stable income distribution. Our most straightforward hypothesis, that rising unemployment benefits counteracted the impact of more unequally distributed earnings, receives only limited support. More complex mechanisms seem to have been at work.
JEL classification: D 30; D 31; J 60     

A Class of Social Welfare Functions That Depend on Mean Income and Income Polarization

A well‐established strategy for evaluating alternative income distributions is based on the use of an abbreviated social welfare function that depends only on mean income and an inequality index. In keeping with this literature, we study the existence of social welfare functions that can be written as a trade‐off between efficiency and income polarization. This paper proposes a class of social welfare functions consistent with the Esteban and Ray, and Duclos, Esteban and Ray income polarization indices. For this result, we expand the domain for personal preferences to incorporate not only own income but also the well‐being of others. In addition, we link our proposal to the literature on relative satisfaction. The approach is illustrated by an empirical application using the CPS database for the United States in the period 1991–2010.     

A Proposal to Compare Consistently the Inequality Among the Poor

A poverty index should be sensitive to the number of poor people, the extent of the shortfall of the poor, and the inequality among the poor. A difficulty arises when inequality among the poor needs to be assessed. The inequality may be analyzed in terms of either incomes or gaps. Depending on what side we focus on, the inequality level comparisons may be contradictory. This paper proposes a reinterpretation of the inequality component involved in the decompositions of well‐known poverty indices. The alternative indices we introduce measure equally the income and gap inequality among the poor. The comparisons in inequality as measured by these indices are then independent of the viewpoint. An empirical application illustrates the proposal.     

Inequality of Income and Consumption in the U.S.: Measuring the Trends in Inequality from 1984 to 2011 for the Same Individuals

This paper examines the distribution of income and consumption in the U.S. using one dataset that obtains measures of both income and consumption from the same set of individuals. We develop a set of inequality measures that show the increase in inequality during the past 27 years using the 1984–2011 Consumer Expenditure Survey. We find that the trends in income and consumption inequality are similar between 1984 and 2006, and diverge during and after the Great Recession. For the entire 27‐year period we find that consumption inequality increases almost as much as does income inequality.     

Inflation and income distribution in Central America,Mexico, Panama,and the Dominican Republic

Analyses of the impact of inflation on income distribution typically only consider the general inflation rate. However, when the consumption structure of households is shaped by its income level and inflation varies across goods and services, they are affected differently by inflation. The aim of this study is to contribute to the analysis of this effect in Central American countries (Guatemala, El Salvador, Honduras, Nicaragua, and Costa Rica), Panama, Mexico, and the Dominican Republic (CAPMDR) for the period 2007–2018. According to our findings, there have been significant differences in the inflation rates faced by different income groups. By employing these percentile‐specific inflation rates, we have computed an “inflation‐corrected Gini index.” This adjustment is important because although inequality has been decreasing during past years in the countries in our sample, on average, about half of the gains observed using the standard Gini index are lost once the Gini indices are corrected for inflation, a clearly nonnegligible magnitude.     

DEPRIVATION,INEQUALITY AND WELFARE*

Welfare ranking of income distributions involves a trade‐off between equity and efficiency. A person's feeling of deprivation about higher incomes may be of a relative or absolute type. We consider an intermediate notion of deprivation, a convex mix of relative and absolute deprivations. We then look at the problem of welfare ranking of income distributions when welfare increases under a globally equitable redistribution and under an income increase that keeps intermediate deprivation fixed. All deprivation indices can be regarded as inequality indices but the converse is not true. We also provide a numerical illustration of our results.     

On the Measurement of the Overall Degree of Income Stratification between Groups

This paper proposes a new class of indices that measure overall stratification between groups in a population and can be decomposed as population‐weighted averages of pairwise indices. The indices capture not only the extent to which groups form well‐defined strata in the income distribution but also the scale of the resultant differences in equally distributed equivalent incomes between them, where these two factors play the same role as identification and alienation respectively in the measurement of polarization. The properties of the class as a whole are investigated as well as those of selected members of it: zeroth and first power indices may be interpreted as measuring the overall incidence and depth of stratification respectively, while second and higher power indices members are directly sensitive to the severity of stratification between groups. An illustrative application provides an empirical analysis of global income stratification by regions in 1993.     

A tale of two Ginis in the US, 1921–2012

Following a methodology by Jantzen and Volpert (2012), we use IRS Adjusted Gross Income data for the US (1921–2012) to estimate two Gini indices representing inequality at the bottom and the top of the income distribution, and to calculate the overall Gini as a function of the parameters underlying the two indices. A steady increase in the overall Gini since the Second World War actually hides two different periods of distributional changes. First, the increase in inequality from the mid 1940s to the late 1970s is driven by rising inequality at the bottom of the income distribution that more than offsets a decrease in inequality at the top. The implication is that middle-income earners gained relative to high-incomes, and especially relative to low-income earners. Second, the rise in the Gini after 1981 is driven by rising inequality at the top. Third, top-driven inequality follows a U-shaped trajectory consistent with Piketty and Saez (2003, 2006). Fourth, the welfare effects of the different distributional changes behind increasing inequality can be evaluated in light of the Lorenz-dominance criterion by Atkinson (1970): we argue that the rise in inequality since 1981 is much more likely to be associated with a social welfare loss net of compensating growth.     

ON THE ROLE OF CAPITAL GAINS IN SWEDISH INCOME INEQUALITY

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.     

Understanding Changes in the Distribution and Redistribution of Income: A Unifying Decomposition Framework

In recent decades income inequality has increased in many developed countries but the role of tax and transfer reforms is often poorly understood. We propose a new method allowing for the decomposition of historical changes in income distribution and redistribution measures into: (i) the immediate effect of tax‐transfer policy reforms in the absence of behavioral responses; (ii) the effect of labor supply responses induced by these reforms; and (iii) a third component allowing us to explore the effect of changes in the distribution of a wide range of determinants, including the effect of employment changes not induced by policy reforms. The application of the decomposition to Australia reveals that the direct effect of tax‐transfer policy reforms accounts for half of the observed increase in income inequality between 1999 and 2008, while the increased dispersion of wages and capital incomes also played an important role.     

Taking down the wall: Transition and inequality

In this article, we investigate the main determinants of income inequality in the transition countries of Central and Eastern Europe and the Commonwealth of Independent States during the period 1990–2018. To this end, we address a major methodological challenge that lies at the core of the cross‐country literature on income inequality: the potential endogeneity of income per capita, which is largely ignored by most empirical studies. We adopt a two‐pronged empirical strategy by (1) using trading partners’ weighted average real GDP as an instrumental variable and (2) estimating the model via the two‐stage least squares approach for static models and the generalized method of moments estimator for dynamic models. Our empirical findings are consistent with the Kuznets curve that illustrates a nonlinear relationship between income inequality and the level of economic development. We also find that the redistributive impact of fiscal policy is statistically insignificant and taxation and government spending appear to have the opposing effects on income inequality in transition economies over the sample period.     

The Great Recession,Austerity and Inequality: Lessons from Ireland

The advent of the Great Recession and the widespread adoption of fiscal austerity policies have heightened concern about inequality and its effects. We examine how the distribution of income in Ireland—a country which experienced one of the most severe economic contractions—has evolved over the years 2008 to 2013. Standard cross‐sectional analysis of the income distribution shows broad stability in the Gini coefficient and in decile shares, with one main exception: the share of the bottom decile fell sharply, with the largest fall in average incomes being for that group. Longitudinal analysis shows that the falls in the average income for the bottom decile were not due to decreasing income for those remaining in the bottom decile, but to falls in income from those initially located in higher deciles. The extent of redistribution through taxes and transfers increased strongly, as measured by the Reynolds‐Smolensky index, which rose from 0.20 before the onset of the crisis to 0.27 in 2013. Analysis indicates that about three‐quarters of this increased redistribution is due to automatic stabilisers and one‐quarter to discretionary policy changes.     

Understanding Rising Income Inequality in Germany, 1999/2000–2005/2006

We examine the factors behind rising income inequality in Europe's most populous economy. From 1999/2000 to 2005/2006, Germany experienced an unprecedented rise in net equivalized income inequality and poverty. At the same time, unemployment rose to record levels, part‐time and marginal part‐time work grew, and there was evidence for a widening distribution of labor incomes. Other factors that possibly contributed to the rise in income inequality were changes in the tax and transfer system, changes in the household structure (in particular the rising share of single parent households), and changes in other socio‐economic characteristics (e.g., age or education). We address the question of which factors were the main drivers of the observed inequality increase. Our results suggest that the largest part of the increase was due to increasing inequality in labor incomes, but that changes in employment outcomes and changes in the tax system also contributed considerable shares. By contrast, changes in household structures and household characteristics, as well as changes in the transfer system only seem to have played a minor role.     

INCOME INEQUALITY AND POLITICAL POLARIZATION AND FRACTURALIZATION:AN EMPIRICAL INVESTIGATION OF SOME EUROPEAN COUNTRIES

This paper investigates the relationship between economic inequality and the distribution of votes among political parties, namely political polarization and fracturalization. Economic inequality is captured by the Gini index, whereas new measures of political polarization and fracturalization are offered. This is the first paper to calculate political polarization and fracturalization indices by a methodology previously used for ethnic, religious and linguistic polarization and fracturalization. Empirical analysis uses data for 17 European countries and for three decades, 1980s, 1990s and 2000s. It is shown that increased income inequality increases political party polarization and reduces fracturalization and that political party polarization decreases with increased GDP per capita.     

Measuring the Impact of Various Income Sources on the Link between Inequality and Development: Implications for the Kuznets Curve

To understand the link between inequality and development, a decomposition of the Gini index by income sources is used that emphasizes the role of three components measuring the impact of the shares of the sources, the degree to which they are unequally distributed, and their correlation with total income. Such a breakdown explains why the rising section of the Kuznets curve is mainly the consequence of the increasing share of wages while its declining section reflects the decreasing share of entrepreneurial income and the negative correlation between transfers and total income. The data sources were provided by the International Labour Office.     

Wealth Inequality in Sweden: What can we Learn from Capitalized Income Tax Data?

This paper presents new estimates of wealth inequality in Sweden during 2000–2012, linking wealth register data up to 2007 and individually capitalized wealth based on income and property tax registers for the period thereafter when a repeal of the wealth tax stopped the collection of individual wealth statistics. We find that wealth inequality increased after 2007 and that more unequal bank holdings and housing appear to be important drivers. We also evaluate the performance of the capitalization method by contrasting its estimates and their dispersion with observed stocks in register data up to 2007. The goodness‐of‐fit varies tremendously across assets and we conclude that although capitalized wealth estimates may well approximate overall inequality levels and trends, they are highly sensitive to assumptions and the quality of the underlying data sources.     

中国农村地区间居民收入差距及构成变化:1995—2008年——基于基尼系数的分解

本文采用分省的面板数据对农村地区间基尼系数分解结果表明,1995—2008年,中国农村地区间收入差距总体上仍然呈现上升趋势,基尼系数上升了0.0639,但增幅出现明显减弱趋势。基尼系数变化及农村居民工资性收入对基尼系数的贡献变化显示出与经济发展阶段变化一致的含义;结构性效应已不再是农村地区间收入差异的唯一构成来源,收入集中效应对基尼系数起了明显的增加作用,工资性收入的集中效应超过了其他收入来源。这些构成来源的变化蕴含着中国面临调节地区间农村收入差距的政策机遇。