Perceptions of inequality

Individual perceptions of (income or wealth) inequality have strong effects on their decisions as economic agents or voters. It is therefore important to know more about the relation between perceived and measured inequality. We present a novel formal framework that is based on the assumption that people typically do not observe the entire income (wealth) distribution and that their guesses about the extent of inequality are based on “self-centered” reference groups. This framework predicts that perceptions of inequality will change along positions in the income distribution and that for a specific position various dimensions of inequality perception are related to each other. First, low (high) income individuals overestimate (underestimate) their own position. Second, subjective estimates of average earnings increase with the own income position. Third, high or low income people have different perceptions about the skewness and the “shape” of the income distribution (e.g. pyramid or diamond). Fourth, the subjective perception of inequality is lower for high-income individuals. Survey data from 40 countries provide strong support for the framework.     

MEASURING SUB‐NATIONAL INCOME POVERTY BY USING A SMALL AREA MULTIVARIATE APPROACH

The present paper proposes a statistical strategy for the analysis of regional disparities in income poverty. For the EU countries, information on individual income has been collected until now by the European Community Household Panel survey, which only yields reliable estimates for very large regions within countries. In order to obtain reliable estimates for some of the poverty indicators suggested by the Laeken Council at the sub‐national level, we suggest the adoption of a multivariate small area estimation approach which enables us to reduce estimate variability. We concentrate on Italy, the country with the lowest degree of regional cohesion within the EU. Results show that disparity cannot be reduced to the so‐called “North–South divide,” with the “poor” South separated from the “affluent” North, as both these macro‐regions display large internal differences in terms of both poverty level and income inequality. The strategy we propose could also be adopted in order to measure poverty in other European regions, using information produced by the new EU Survey on Income and Living Conditions, which is replacing the European Community Household Panel.     

Labour Supply,Life Satisfaction,and the (Dis)Utility of Work*

In economic theory, it is typically assumed that there is a “disutility of labour”. However, empirical research on subjective well‐being has consistently shown that unemployed people are less happy than employed people, even after taking income differences into account. In this paper, we attempt to reconcile both findings. We show that happiness and work hours exhibit an inverse U‐shaped relation – working longer raises the level of happiness, as long as the total working time is not too long. Hence, working can be beneficial for happiness and, at the same time, it can exert a disutility at the margin.     

Happiness convergence in transition countries

The “transition happiness gap” has been one of the most robust findings in the literature on life satisfaction. Until very recently, scholars using various datasets have shown that residents of post-communist countries were significantly less satisfied with their lives than their counterparts in non-transition countries (controlling for income and other socio-economic characteristics). The literature has explained this finding by the great macroeconomic instability of the 1990s, by a substantial decrease in the quality and accessibility of public goods, by the major increase in inequality, and by the rapid depreciation of pre-transition human capital. All these factors were expected to subside over time – at least after the post-Great-Recession recovery. In this paper, we consider two most recent datasets – the third wave of the Life in Transition Survey (administered in 2015–16) and the 2010–2016 waves of the annual Gallup World Poll. We find that by 2016 the transition happiness gap had closed. This convergence has taken place both due to a “happiness recovery” in post-communist countries after the Great Recession and due to a decrease in life satisfaction in comparator countries in recent years. We also find that the convergence in life satisfaction was primarily driven by middle-income young, educated individuals, regardless of gender.     

Decomposing Global Inequality

This paper provides an intuitive additive decomposition of the global income Gini coefficient with respect to differences within and between countries. In 2005, nearly half the total global income inequality is due to income differences between Europeans and North Americans on the one side and inhabitants of Asia on the other, with the China‐USA income differences alone accounting for six percent of global inequality. Historically, income differences between Asia and Europe have driven a large part of global inequality, but the quantitative importance of within‐Asia income inequality has increased substantially since 1950.     

A Note on α‐Gini Measures

This note provides a characterization of α‐Gini inequality measures. These measures generalize the standard Gini index by including one sensitivity parameter α, which captures different value judgments. The α‐Gini measures are shown to be weakly decomposable and unit consistent. Weak decomposition provides within‐group and between‐group inequalities. Unit consistency keeps unchanged the ranking of two income distributions when the income units vary. It is shown that the α‐Gini measures are relevant with either “leftist” or“rightist” views.     

The Evolution of the Veblenian Dichotomy: Veblen,Hamilton, Ayres,and Foster

One of the most troubling developments in recent years has been widening income inequality in the United States and elsewhere. We argue Post Keynesian Institutionalism (PKI) provides insight into the causes of increasing income inequality and our contribution is threefold. First, we compare PKI to the “financialization” literature, noting key similarities and differences. Second, we examine changes in financial structure and income inequality for a sample of developed nations, showing that financialization has increased in nearly all the countries sampled and that this increase has generally been accompanied by a rise in income inequality. Third, we demonstrate that the development of modern financial structures does not preclude an expansive welfare state and egalitarian public policies. Our finding is congruent with Hyman Minsky's conception of PKI, which stressed both that “economic systems are not natural systems” and that capitalism comes in as many varieties as Heinz has of pickles.     

Income comparison and happiness: The role of fair income distribution

Relative income gap is one of the most popular approaches for explaining the income–happiness relationship. We argue in this article that when people compare their incomes, they care about distributional fairness more than relative income disparity. It is difficult for us to explain China's income–happiness paradox if we simply compare the income gap and do not explore the income‐generation process leading to income inequality. We therefore employ an approach based on a responsibility‐sensitive theory of justice that decomposes individual income into fair and unfair components. As a proxy for distributional unfairness, unfair income is considered the main source of unhappiness. Using data from the Chinese Household Income Project survey, we find strong support for the negative relationship between income unfairness and happiness. We also find a significantly positive relationship between the relative income gap and income unfairness, which leads us to consider the income comparison hypothesis as the explanation for the income–happiness paradox in a new light. Sensitivity analyses confirm the robustness of our results.     

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.     

Sources of Inequality: Measuring the Contributions of Income Sources to Rising Family Income Inequality

We develop a simulation method for measuring the impact of changes in the distributions of the main income sources on growth in family income inequality. We simulate the entire distribution of family income under the counterfactual, “What if the distribution of each source had not changed?” The simulation method allows us to evaluate the impact of changes at any point in the distribution as well as with multiple measures of inequality. We incorporate married‐couple and single‐person families, appropriately accounting for changes in the proportion married. We apply the simulation method to investigate the impact of changes in male earnings, female earnings, and capital income on the distribution of family income in the United States between 1969 and 1999. We find that changes in the distribution of male earnings account for more of the growth in family income inequality than do changes in any other source of income. Changes in the distribution of female earnings have reduced family income inequality.     

Measuring the Consistency of Cross‐Sectional and Longitudinal Income Information in EU‐SILC

The EU‐wide survey “Statistics on Income and Living Conditions” (EU‐SILC) is extremely important for international social science research and policy advice. It is therefore crucial to ensure that the data are of the highest quality and international comparability. This paper is aimed at identifying unexpected developments in income levels, income mobility, and inequality in the EU‐SILC data between 2005 and 2009. We examine the consistency of EU‐SILC by comparing cross‐sectional results with findings based on two‐year longitudinal samples. Although the data represent similar populations, for several countries the results of this comparison differ widely. One important outcome is the high degree of variability over time in countries that obtain their income information from register data. This suggests methodological challenges in the clear designation of new subsample members, in the reweighting of the data, in imputation of missing values, and in other areas.     

Negative income taxes,inequality and poverty

We use a neoclassical growth model with heterogeneous agents to analyze the redistributive effects of a negative income tax system, which combines a flat rate tax with a fully refundable credit (“demogrant”). We show that changing the demogrant‐to‐output ratio causes significant changes in the distribution of income. Specifically, we find that increasing the demogrant‐to‐output ratio sharply reduces the level of inequality as well as both relative and absolute poverty (all measured in terms of post‐tax total income). However, these reductions in inequality and poverty come at the expense of a significant reduction in output.     

North–South trade and income inequality

This paper investigates the effects of North–South trade on international income inequality. While empirical studies suggest that trade liberalization encourages income convergence and reduces the per capita income gap between poor and rich countries, North–South trade is shown to increase the income gap between the two regions. On the other hand, trade liberalization by either region increases the welfare of both regions, and does not necessarily reduce the gap in “real income” or utility.     

幸福,赚钱还是花钱??

文章从理论和实证角度研究了幸福函数,对比考察了货币因素中的消费与收入对个人主观幸福感的影响。研究发现,货币因素的具体数值以及相对变化对个人主观幸福感均具有显著影响,无论是消费还是收入的增加都能显著提升个人幸福感,而花钱比赚钱更有利于提升个人幸福感。由于家庭的初始货币因素存在差异,以及受环境适应惯性和棘轮效应影响,相对于收入不平等的变动,个人幸福感对消费不平等的变动更加敏感;相对于就业样本,非就业样本对货币因素的变动更加敏感。“幸福没有那么容易,才会特别让人着迷”,在收入分配与再分配过程中注重居民家庭相对地位的改善,引导理性消费,满足消费需求,考虑异质性,则有利于提升国民幸福。     

Consumer Capital as the Source of Happiness: The Missing Economic Theory Underlying the Income-Happiness Paradox

Self-reported happiness does not generally increase with rising income, as established by Richard Easterlin. We argue that the current debate in economics about the income-happiness paradox has paid too little attention to the theoretical foundation of the expected positive relation between income and happiness, seeking an empirical resolution through better data and more elaborate estimating equations instead. We return to the history of economics and revisit the contributions of Irving Fisher and Kenneth Boulding for the missing economic theory that underlies the income-happiness paradox. According to both Fisher and Boulding, “consumer capital” is the ultimate source of welfare, whereby consumer capital is defined as an accumulated stock of tangible and intangible instruments that yield a stream of services over their useful life. In the view of Fisher and Boulding, it is the utilization of this capital stock that renders happiness to individuals. Moreover, income that pays for the goods of consumption can be a “bad,” reflecting the cost of maintaining the consumer capital stock. Therefore, Fisher and Boulding’s insights bring a new perspective to the Easterlin paradox, showing that the empirical finding that rising income contributes only little, if anything, to levels of happiness has been overemphasized at the expense of the theoretically more relevant relation between consumer capital and happiness, and the exact role of income therein.     

The growth effects of tax rates in the OECD

This paper explores the merits of macro‐ and micro‐based tax rate measures within an open economy “fiscal policy and growth” model. Using annual data for 15 OECD countries we find statistically small, non‐robust long‐run growth effects of macro‐based average tax rates on capital income and consumption, but some evidence for average labour income tax effects. Changes in “micro” marginal income tax rates at both the personal and corporate levels yield statistically robust GDP responses of modest size. Both domestic and foreign corporate taxes appear relevant. In general, tax effects on GDP operate largely via factor productivity rather than factor accumulation.     

Caste, Inequality, and Poverty in India

This paper analyses inequality and poverty in India within the context of caste‐based discrimination. It does so by decomposing the difference between (caste) Hindu and Scheduled Caste (SC) and Scheduled Tribe (ST) households in: their average household incomes; their probabilities of being in different income percentiles; their probabilities of being at different levels of poverty into: a “discrimination effect”, which stems from the fact that a household's income level, into which its (income‐generating) profile translates, depends on whether it is SC/ST; an “attributes (or residual) effect” which stems from the fact that there are systematic differences between SC/ST and Hindu households in their (income‐generating) profiles. The results, based on unit record data for 28,922 households, showed that at least one‐third of the average income/probability differences between Hindu and SC/ST households was due to the “unequal treatment” of the latter.     

Relative Income and Indebtedness: Evidence from Panel Data

We examine patterns of indebtedness in the Panel Study of Income Dynamics, focusing on the period surrounding the housing bubble and its aftermath (i.e., 1999–2009). Leverage increased across households, but most quickly among lower income households during this period. We find additionally that leverage grew faster for households with lower relative income compared to other households in similar demographic groups or within a state controlling for own income. Together, these findings provide evidence for the thesis that the rising indebtedness of households in the U.S. is related to high levels of inequality, and that “Veblen effects,” whereby relative income matters for individual well‐being and decisions, may contribute to rising household indebtedness.     

Does income inequality sand or grease the wheels of entrepreneurial activity? International evidence

Using a large panel of countries, this research examines the influence of income inequality on entrepreneurship. The impact of income disparities on entrepreneurship is not clear a priori—with a positive effect when inequality encourages entrepreneurship (“greasing effect”) or a negative effect when entrepreneurship discourages entrepreneurship (“sanding effect”). Our findings, across alternative measures of income inequality and even allowing for simultaneity, are consistent with the motivation or greasing effect. An equally insightful finding is that the effect of inequality switches across the prevalence of entrepreneurship—the sanding effect exists in nations with a low prevalence of entrepreneurship, and switches to a greasing effect as the prevalence of entrepreneurship increases. This is suggestive of positive network externalities from entrepreneurship—it takes a threshold level of entrepreneurship in a nation for greasing from income inequality to take hold.