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.     

Income inequality,corruption and subjective well-being

ABSTRACT

Based on the data of CGSS2013, we analyse the relationship between income inequality, corruption and subjective well being using an Ordered Probit model. Our results indicate that income inequality and corruption significantly reduces the subjective well-being of our country’s residents. Furthermore, corruption is an important channel for the negative effect of income inequality on subjective well-being, the impact of income inequality on subjective well-being is mainly achieved by the role of corruption. Specifically, the impacts vary according to hukou. Higher degree of income inequality indeed reduces the subjective well-being of urban residents, while it has a positive effect on subjective well-being of rural residents. Corruption has a significant negative impact on the subjective well-being of urban and rural residents. There is heterogeneity in the influence of different income levels in rural areas. The study in this paper shows that anti-corruption and narrowing the income gap are the two major grippers to improve the well-being of the residents.     

Inter-provincial migration and inequality during Vietnam's transition

Vietnam's economic boom during the transition to a market economy has centered on very rapid growth in some sectors and provinces, yet poverty has diminished across the entire country. With capital investments highly concentrated by province and sector, geographic labor mobility may be critical in spreading the gains from growth. Conversely, rising income inequality may be attributable in part to impediments to migration. We first use census data to investigate migration patterns and determinants. We then examine the role of migration as an influence on income ratios between pairs of provinces. The former analysis robustly confirms economic motives for migration but also suggests the existence of poverty-related labor immobility at the provincial level. Examination of income ratios between pairs of provinces reveals that the impact of migration on inequality can be either negative or positive. A robust inequality-reducing impact of migration is found for migration flows into provinces where most of Vietnam's trade-oriented industrial investments are located.     

Who votes for public environmental goods in California?: Evidence from a spatial analysis of voting for environmental ballot measures

Voting referenda provide direct evidence of the demand for public goods. A number of previous studies have used referenda to analyze the support for public environmental goods. These studies have used aggregate data from large jurisdictional units (usually counties) and summary income measures such as the mean or median, and have usually found that higher income areas offer greater support for environmental propositions. We examine environmental referenda voting in California using census block group data, spatial dependence controls, and detailed income distribution data. We find that household income has a negative marginal effect on environmental referenda voting for most of the income range when using census block data. In addition, controls for spatial dependence significantly reduce the magnitude of most coefficients. This suggests that OLS estimates of referenda determinants are biased. We also show that county level data may be subject to severe aggregation bias and might not be appropriate for referenda studies.     

Growth, income distribution and well-being in transition countries

We apply several well-being measures that combine average income with a measure of inequality to international and intertemporal comparisons of well-being in transition countries. Our well-being measures drastically change the impression of levels and changes in well-being compared to a traditional reliance on income measures. Due to low inequality and moderate income levels, socialist countries enjoyed relatively high levels of economic well-being. In the transition process, rising inequality and falling incomes have led to a dramatic absolute decline in well-being and a considerable drop in relative well-being vis-à-vis non-transition countries. We also find a close correlation between income losses and inequality increases. While the transition has been successful in expanding political and civil rights, our indicators suggest that most transition countries are still below the level of economic well-being of the late 1980s.
JEL classification: D6, O15, P27.     

INCOME MOBILITY IN SPAIN: HOW MUCH IS THERE?

Traditional cross-sectional research is unable to measure the degree of income mobility in an income distribution. Using longitudinal data and various income stability indices, this paper measures the level of permanent inequality (immobility) in Spain for the period 1985–92. Results indicate that the transitory component of inequality is large and the level of income mobility increases over time while income inequality decreases slightly. More stability is found at the top than at the bottom of the income distribution and the range of the registered movements is rather short.     

Household wealth, public consumption and economic well-being in the United States

Standard official measures of household economic well-beingin several countries are based on money income. The generalconsensus is that such measures are limited because they ignorecertain crucial determinants of well-being. We examine two suchdeterminants—household wealth and public consumption—inthe context of the US. Our findings suggest that the level anddistribution of economic well-being is substantially alteredwhen money income is adjusted for wealth or public consumption.Over the 1989–2000 period, median well-being appears toincrease faster when these adjustments are made than when standardmoney income is used. Adding imputed rent and annuity from householdwealth to household income increases measured inequality, whileadding public consumption reduces it. However, all three measuresshow about the same rise in inequality over the period.     

A META‐ANALYSIS ON THE RELATIONSHIP BETWEEN INCOME INEQUALITY AND ECONOMIC GROWTH

In recent years there is a growing interest in determining the impact of inequality on economic growth. Theoretical papers as well as empirical applications have, however, produced controversial results. Although there is a considerable part of the literature that considers inequality detrimental to growth, more recent studies have challenged this result and found a positive effect of inequality on growth. In this paper, we provide a contribution to the empirical puzzle by using meta‐analysis to systematically describe, identify and analyse the variation in outcomes of empirical studies. We find that estimation methods, data quality and sample coverage systematically affect the results. The results point out that it will be particularly useful to increasingly focus research on determining the impact of income inequality on economic growth using single‐country data at the regional level, or a relatively homogeneous set of countries with adequate controls for country‐wide differences in economic, social and institutional characteristics.     

Immigration,Conflict, and Redistribution

In this paper, we analyze how the possibility of conflict between natives and immigrants shapes income redistribution in developed democracies. This possibility can generate income redistribution towards immigrants even if they have no voting rights. We show that the threat of conflict between natives and immigrants lowers vertical income redistribution (from the rich to the poor) as the level of immigration increases. The opposite holds for horizontal income redistribution (from natives to immigrants), which increases with the level of immigration. Income inequality weakens the negative effect of immigration on vertical redistribution, but it also reduces horizontal redistribution. These theoretical predictions are consistent with the results of our empirical analysis on data from 29 European countries: larger immigrant populations are associated with more redistribution towards immigrants and lower vertical redistribution.     

IRELAND's INCOME DISTRIBUTION IN COMPARATIVE PERSPECTIVE

There are concerns that the unprecedented economic boom which Ireland experienced in the second half of the 1990s has raised only some living standards and has widened income gaps. This paper analyzes Ireland's income distribution in comparative perspective, to understand how Ireland's distribution changed and how it compares to other rich countries. We begin with OECD (Organization for Economic Cooperation and Development) and the Luxembourg Income Study (LIS) data to compare Ireland's degree of well-being and inequality with other advanced countries. We also look in some detail at alternative sources of Irish income and their implications for the trends in income inequality in Ireland from 1994 to 2000. For instance, we examine the top of the distribution using data from the administration of the income tax system. We conclude that the spectacular economic growth in the past decade has seen the gap in average income between Ireland and the richer OECD countries narrow dramatically. However, this growth has not greatly affected the Irish ranking in terms of income inequality. Ireland remains an outlier among rich European nations in its high degree of income inequality, though still falling well short of the level seen in the United States. In the end, we find that Ireland's new-found prosperity provides a "social dividend," and choices about how it is used will fundamentally affect whether the current high level of income inequality persists into the future.     

Does income inequality increase charitable giving?

Do households react to changes in the distribution of income in their localities by changing their charitable giving? The theoretical prediction of the effects of income inequality on giving is unclear. We study how changes in income inequality measured at the neighbourhood and municipality levels affect charitable giving by households in Canada between 1991 and 2006. We find that increases in inequality increase giving. Results are sensitive to the geographic dispersion of low‐ and high‐income households in neighbourhoods within a municipality. The effect on donations is smaller in areas with high levels of inequality at both neighbourhood and municipality levels.     

Income Distribution and Aggregate Saving: A Non‐Monotonic Relationship

Drawing on a panel of advanced economies, this paper documents a concave and non‐monotonic link between inequality and the aggregate household saving rate. We find that, at a low level of inequality, more inequality is associated with higher saving; but we also show that a negative relationship between inequality and saving prevails where inequality is high. Using different empirical approaches, we locate the turning point, where the marginal effect of inequality turns from positive to negative, at a net income Gini coefficient of around 30. Moreover, we show that the relationship between inequality and saving also depends on financial market conditions. While inequality increases saving, when credit is scarce it tends to reduce saving at high levels of credit. This paper primarily focuses on household saving, yet we also find some evidence for a non‐monotonic effect of inequality on private saving, national saving, and the current account balance.     

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.     

Finance and inequality: a study of Indian states

Although a large literature exists on finance and economic growth, few studies have empirically examined the relationship between finance and inequality. Using grouped national household sample survey data on monthly household consumption expenditure at the sub-national level for the years 1999–2000 to 2006–2007, we examine the relationship between Financial Development (FD) and rural and urban inequality in India. The results indicate that FD is associated with a reduction in inequality, but only in the urban areas. Further, inequality is found to be higher in the richer states compared to less developed and low income states, and as state income increases, inequality also increases both in the rural and urban areas. Finally, our results show that increase in population per bank branch leads to higher inequality in urban areas but decline in rural areas.     

Financial development,control of corruption and income inequality

This paper examines the effect of financial development and control of corruption on income inequality in 21 Sub-Saharan African (SSA) countries over the period 1985–2011 using the pooled mean group (PMG) estimator. The empirical results show that financial development measures have positive impact on income inequality, which suggest that financial development increases income inequality. On the other hand, the coefficients of control of corruption are negative and significantly related to income inequality which implies that corruption control reduces income inequality. Further, the interaction of the financial development and the control of corruption is found to be negatively and significantly related to income inequality. Equally the interaction of the financial development and transparency index (an alternate measure of corruptibility) is found to be negatively and significantly related to income inequality. These findings suggest that the control of corruption and transparency in governance are crucial in reducing income inequality in SSA.     

Income and well-being: an empirical analysis of the comparison income effect

This paper presents an empirical analysis of the importance of ‘comparison income’ for individual well-being or happiness. In other words, the influence of the income of a reference group on individual well-being is examined. The main novelty is that various hypotheses are tested: the importance of the own income, the relevance of the income of the reference group and of the distance between the own income and the income of the reference group, and most importantly the asymmetry of comparisons, i.e. the comparison income effect differing between rich and poor individuals. The analysis uses a self-reported measure of satisfaction with life as a measure of individual well-being. The data come from a large German panel known as GSOEP. The study concludes that the income of the reference group is about as important as the own income for individual happiness, that individuals are happier the larger their income is in comparison with the income of the reference group, and that for West Germany this comparison effect is asymmetric. This final result supports Dusenberry's idea that comparisons are mostly upwards.     

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.     

Growth, Inequality, and Well-Being: Intertemporal and Global Comparisons

We use several well-being measures that combine average incomewith a measure of inequality to undertake intertemporal andglobal comparisons of wellbeing. The conclusions emerging fromthe intertemporal analysis are that the impact of these measureson temporal trends in well-being is relatively small on average,but changing across the decades. In particular, it suggeststhat changes in well-being were understated in the 1960s and1970s and overstated in the 1980s and 1990s. Our global analysiscovering ca. 81 per cent of the world's population demonstratesthat global well-being is at least 50 per cent smaller thanworld per capita income if the unequal income distribution isalso factored in. Conversely, growth in world well-being hasbeen larger than world income growth between 1970–1998.Since the inclusion of inequality has an important impact onwell-being comparisons, it is of great importance to generatemore consistent and intertemporally as well as internationallycomparable data on inequality. (JEL I31, D63)     

INEQUALITY COMPARISONS IN A MULTI‐PERIOD FRAMEWORK: THE ROLE OF ALTERNATIVE WELFARE METRICS

This paper considers the use of alternative welfare metrics in evaluations of income inequality in a multi‐period context. Using Norwegian longitudinal income data, it is found, as in many studies, that inequality is lower when each individual's annual average income is used as welfare metric, compared with the use of a single‐period accounting framework. However, this result does not necessarily hold when aversion to income fluctuations is introduced. Furthermore, when actual incomes are replaced by expected incomes (conditional on an initial period), using a model of income dynamics, higher values of inequality over longer periods are typically found, although comparisons depend on inequality and variability aversion parameters. The results are strongly influenced by the observed high degree of systematic regression toward the (geometric) mean, combined with a large extent of individual unexpected effects.     

Income, income inequality, and health: Evidence from China

This paper tests using survey data from China whether individual health is associated with income and community-level income inequality. Although poor health and high inequality are key features of many developing countries, most of the earlier literature has drawn on data from developed countries in studying the association between the two. We find that self-reported health status increases with per capita income, but at a decreasing rate. Controlling for per capita income, we find an inverted-U association between self-reported health status and income inequality, which suggests that high inequality in a community poses threats to health. We also find that high inequality increases the probability of health-compromising behavior such as smoking and alcohol consumption. Most of our findings are robust to different measures of health status and income inequality. Journal of Comparative Economics 34 (4) (2006) 668–693.