INEQUALITY OF OPPORTUNITY IN BRAZIL

This paper proposes a measure of the contribution of unequal opportunities to earnings inequality. Drawing on the distinction between "circumstance" and "effort" variables in John Roemer's work on equality of opportunity, we associate inequality of opportunities with five observed circumstances which lie beyond the control of the individual—father's and mother's education; father's occupation; race; and region of birth. The paper provides a range of estimates of the importance of these opportunity-forming circumstances in accounting for earnings inequality in one of the world's most unequal countries. We also decompose the effect of opportunities into a direct effect on earnings and an indirect component, which works through the "effort" variables. The decomposition is applied to the distribution of male earnings in urban Brazil, in 1996. The five observed circumstances are found to account for between 10 and 37 percent of the Theil index, depending on cohort and allowing for the possibility of biased coefficient estimates due to unobserved correlates. On average, 60 percent of this impact operates through the direct effect on earnings. Parental education is the most important circumstance affecting earnings, but the occupation of the father and race also play a role.     

Inequality of opportunity in earnings and assets in Egypt

ABSTRACT

By most available measures, the level of inequality in the MENA region, including Egypt, is considered relatively low. This regularity applies to both inequality of outcomes as well as inequality of opportunity. This paper challenges this view. It argues specifically that circumstances beyond the control of individuals account for a larger share of inequality of opportunity when asset distribution is considered rather than the distribution of earnings, essentially because earnings are subject to measurement errors and idiosyncratic shocks. The paper tests this proposition by estimating the extent to which factors related to the circumstances a person is born into contribute to inequality of opportunity in earnings as well as asset ownership. The results show that circumstances account 26–32% of inequality of asset distribution, compared with only 8–10% of inequality of opportunity in earnings. The analysis further shows that the area of birth and fathers education level are the two most important circumstance factors contributing to inequality of opportunity, for both assets and earnings.     

THE MEASUREMENT OF INEQUALITY OF OPPORTUNITY: THEORY AND AN APPLICATION TO LATIN AMERICA

Building on the existing literature, this paper constructs a simple scalar measure of inequality of opportunity and applies it to six Latin American countries. The measure—which captures between‐group inequality when groups are defined exclusively on the basis of predetermined circumstances—is shown to yield a lower‐bound estimate of true inequality of opportunity. Absolute and relative versions of the index are defined, and alternative parametric and non‐parametric methods are employed to generate robust estimates. In the application to Latin America, we find inequality of opportunity shares ranging from one quarter to one half of total consumption inequality. An opportunity‐deprivation profile that identifies the worst‐off types in each society is also formally defined, and described for the same six countries. In three of them, 100 percent of the opportunity‐deprived were found to be indigenous or Afro‐descendants.     

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.     

Intergenerational Earnings Inequality: New Evidence From Italy

Using an innovative dataset built by merging survey and administrative data, we provide new estimates of intergenerational earnings’ inequality between fathers and sons in Italy, extending previous evidence in several directions. We rely on the TSTSLS method to predict fathers’ earnings and compute intergenerational elasticities and imputed rank–rank slopes, trying to reduce estimation biases. Confirming previous evidence, we find that Italy is characterized by a high intergenerational inequality in cross-country comparison. Extending previous analyses, we show that the intergenerational association increases when sons at older ages and multi-annual averages of pseudo-fathers’ and sons’ earnings are considered. We also find that the intergenerational persistence differs across geographical macro-areas and is high also for daughters, especially when family earnings are considered. Furthermore, estimates where possible mediating factors of the parental influence are included among the covariates show that a high intergenerational association persists when sons’ education and occupation are controlled for.     

Inequality in Vietnamese Urban–Rural Living Standards, 1993–2006

We investigate urban–rural inequality in Vietnam using data from the Vietnam Living Standard Surveys between 1993 and 2006. We find that mean per capita expenditure of urban households is consistently twice as much as that of rural households and that the urban–rural gap monotonically increases from the poorer to the richer groups of the expenditure distribution. To isolate factors contributing to the urban–rural gap, we apply the Oaxaca–Blinder type decomposition to a newly developed unconditional quantile regression method. Factors contributing significantly to the high urban–rural gap include inter‐group differences in education, household age structure, labor market activity, geographic location and their related returns, with education playing the most important role. Over the period, consistent with the country's massive rural–urban migration, we find that domestic remittance plays a significant role in shortening the urban–rural expenditure gap in the later years, 2002 and 2006.     

LIVING STANDARDS INEQUALITY BETWEEN MIGRANTS AND LOCAL RESIDENTS IN URBAN CHINA—A QUANTILE DECOMPOSITION

This study investigates the inequality in per‐capita consumption expenditure between urban and rural‐to‐urban migrant households in China using Rural‐Urban Migration in China (RUMiC) data. The methodology used is that of Oaxaca‐Blinder and unconditional quantile decompositions and we deal with selection related to education level using matching. It is found that the characteristics effect does not contribute toward explaining any of the gaps in consumption. Results from a detailed decomposition suggest that differences in educational level account for 8%–19% of the overall inequality after taking selectivity of education into consideration. Differences in household size and region of residence are also important in narrowing expenditure inequality between the two groups. (JEL R23, C15)     

Inequality of opportunity in sub-Saharan Africa

Inequality of opportunity is defined as the difference in individuals’ outcome systematically correlated with morally irrelevant pre-determined circumstances, such as ethnicity, socio-economic background, area of birth. This definition has been extensively studied by economists on the assumption that, in addition to being normatively undesirable, it can be related to low potentials for growth. However, empirical estimations of inequality of opportunity require accessing rich data sources, rarely available in poorer countries. In this paper, we exploit 13 consumption household surveys to evaluate inequality of opportunity in 10 Sub-Saharan African countries. According to our results, the portion of total inequality that can be attributed to exogenous circumstances is between 40% and 56% for the generality of countries. Our estimates are significantly higher than what has been found by previous studies. We detect a positive association between total consumption inequality and inequality of opportunity, and we study the different sources of unequal opportunities. The place of birth and the education of the father appear to exert the most relevant role in shaping inequality of opportunity in the region.     

Accounting for United States Household Income Inequality Trends: The Changing Importance of Household Structure and Male and Female Labor Earnings Inequality

Using a shift‐share analysis on March CPS data, this paper estimates the degree to which changes in labor earnings, employment, and marriage patterns account for household income inequality growth in the United States since 1979. The factors contributing to the rapid rise in income inequality in the 1980s differ substantially from those contributing to its slower increase since that time. Unlike findings for the 1980s when changes in the correlation of spouses' earnings accounted for income inequality growth, this factor is no longer a major contributor toward its continued increase. Additionally, the 2000s business cycle is the first full business cycle in at least 30 years where changes in earnings of male household heads accounted for declines in income inequality. Instead, the continued growth in income inequality in the 2000s was accounted for primarily by increases in female earnings inequality and declines in both male and female employment.     

THE GROWTH OF FAMILY EARNINGS INEQUALITY IN CANADA, 1980–2005

In this study we document recent trends in family earnings inequality using data from the Canadian Census and provide insight into the various factors that drive changes in the family earnings distribution. Over the period 1980–95 we observe substantial increases in family earnings inequality. In contrast, we find that some decrease in inequality occurred over the period 1995–2005 although the earnings of the richest 1 percent of families increased substantially. We use semi‐parametric decomposition methods to show that increases in the employment rates of men and women, increases in their educational attainment, and decreases in assortative mating tended to have equalizing effects on the family earnings distribution. We also show that increases in the returns to higher education and increases in the proportion of single individuals as well as lone‐parent families drove increases in family earnings inequality.     

The Impact of Inheritance on the Distribution of Wealth: Evidence from Great Britain

Using the British Household Panel Survey, we investigate the role of inheritance in shaping the distribution of household wealth in Great Britain during 1995–2005a period characterized by a substantial increase in wealth and an equally important decrease in wealth inequality. Abstracting from behavioral effects, we find that inheritances received during this period accounted for 30 percent of the increase in wealth of inheritors. Regression estimates of the effect of inheritance on wealth accumulation suggest that households spend 30 percent of their inheritances on average, and that there is substantial heterogeneity in household responses. Households that accumulated more wealth saved a larger share of their inheritances, as did middle aged households and those with lower initial wealth. Although inheritances are highly unequal they had a small impact on overall wealth inequality. This mainly reflected the fact that their size relative to other sources of wealth was very small.     

Anthropometric failure and persistence of poverty in rural India

Recent studies have drawn attention to the high prevalence of stunting among children in rural India. In fact, these estimates point to more pervasive deprivation than conventional measures of poverty based on income or consumption expenditure shortfalls imply. Since stunting reflects cumulative nutritional and health deprivation, it is likely to persist despite higher incomes. With a view to shedding some new light on this issue, an analysis of the determinants of stunting is carried out, based on a recent all‐India survey of rural households. While income matters, other factors acting independently of it matter too. These include household size, whether household head is male, caste affiliation, mother’s age at marriage, mother’s age, age composition of children, male–female wage differences, hygiene and sanitation facilities, and prices of food items. So, while higher incomes will help mitigate stunting, careful attention must also be given to enhancing women’s autonomy through more remunerative employment opportunities for them, enabling households to improve hygiene and sanitation facilities, and facilitating more competitive local markets for food.     

EQUALITY OF OPPORTUNITY: EAST VS. WEST GERMANY

The case of German reunification has been subject to extensive research on earnings inequality and labour market integration. However, little is known about the development of equality of opportunity (EOp) in East and West Germany after 1990. Using German micro data, we empirically analyse how circumstances beyond the sphere of individual control relate to inequality in East and West Germany. Our results show that EOp is larger in East than in West Germany. However, despite increasing income inequality, EOp remained surprisingly constant.     

Changing Contours of Income Stratification and Decomposition of Income Inequality: Evidence from Recent Longitudinal Survey in India

The paper, based on India Human Development Survey (IHDS) data, tries to address the question- how unequal is India in terms of income distribution? Accordingly, the paper examines the trends, levels, sources and factors of income inequality in India between 2005 and 2012. Three important results stemmed from our analysis. First, in this paper we use Gini as a measure of inequality and find that income inequality in rural India has increased from 0.50 to 0.54 between 2005 and 2012, whereas, in urban India income inequality has increased from 0.48 to 0.49 during the same period. Next and most importantly, we decompose income inequality by income sources and find that amongst different sources of income inequality; the contribution of farm income in total inequality has decreased from 35 percent in 2005 to 21 percent in 2012 in rural India. On the other hand, the contribution of salaried income in total inequality has plummeted drastically from 65 percent in 2005 to 16 percent in 2012 in urban India. Finally, we use Theil’s T index from the class of Generalized Entropy (GE) inequality measures, while decomposing income by four most important factors; namely, place of residence, social, educational and occupational groups. It is irrespective of these factors; the relative share of within-group inequality is not only much higher than that of between-group inequality, also its share has increased between these two periods. Thus, our paper suggests that these mutually reinforcing inequalities, in the long run, if not addressed effectively, will create a hard-hitting division between the privileged and the rest in Indian society.

     

Inequality of Opportunity in Brazil: A Corrigendum

This note acknowledges and corrects a programming error in our paper “Inequality of Opportunity in Brazil” (Review of Income and Wealth, 53(4), 585–618, 2007). Once the error is corrected, our bounds approach to the identification of individual model parameters in the presence of omitted variable biases is much less useful than indicated in the original paper. In the specific context of the measurement of inequality of opportunity, this implies that the decomposition of overall inequality of opportunity into direct and indirect effects is not reliable. However, the parametric approach introduced in our paper remains useful for obtaining a lower‐bound estimate of overall ex‐ante inequality of opportunity, as proposed by Ferreira and Gignoux (2011).     

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.     

Inequality and Trade Policy: The Pro‐Poor Bias of Contemporary Trade Restrictions

This paper studies the pro‐poor bias of trade policy in India by estimating the household welfare effects of removing the current protection structure. The elimination of a pro‐poor trade policy is expected to have a negative differential welfare effect at the low end of the distribution. The paper first constructs trade restrictiveness indexes for household consumption items and industries using both tariffs and non‐tariff barriers. The results indicate that Indian trade policy is regressive through the expenditure channel as it disproportionately raises the cost of consumption for poorer households, while it is progressive through the earnings channel. Based on the net welfare effects, the elimination of the current trade protection structure is estimated to reduce inequality. These results indicate that a trade policy that is progressive through the earnings channel may induce a price effect that is regressive through the expenditure channel.     

Linkages between poverty and income inequality of urban–rural sector: a time series analysis of India’s urban-based aspirations from 1951 to 1994

This study examines the impact of urban and rural development on poverty and inequality in India before economic reform. The methodology comprises two dimensions. Modern time series methods are used to uncover the dynamic patterns of urban–rural poverty and income inequality. A machine-learning algorithm is used to determine the causal structure among the development indicators. Our results show that reductions in rural poverty appear to be a more effective in reducing both urban and rural poverty, although the costs of achieving these reductions have not been considered.     

A quantile regression decomposition of urban–rural inequality in Vietnam

We use the Vietnam Living Standards Surveys from 1993 and 1998 to examine inequality in welfare between urban and rural areas in Vietnam. Real per capita household consumption expenditure (RPCE) is our measure of welfare. We apply a quantile regression decomposition technique to analyze the difference between the urban and rural distributions of log RPCE. In the earlier survey, the urban–rural gap is primarily due to differences in covariates such as education, ethnicity, and age. This is true across the entire distribution. In the later survey, this is true only for lowest quantiles. For the rest of the distribution, the gap is primarily due to differences in returns to covariates between the urban and rural sectors.     

Impact of Socio-Economic factors on Consumption Expenditure through Public Distribution System in rural India

Impact of public distribution system (PDS) on poverty in rural India is established; however, how the households from different socio-economic backgrounds are procuring through PDS, relatively, needs study. With this objective, influence of factors like poverty status, family size, social group, religion, gender and occupation on probability of household incurring consumption expenditure through PDS has been studied by using unit level data of consumer expenditure survey of National Sample Survey Office (NSSO) and multinomial logistic regression technique. The study is restricted to food grains rice and wheat and reveals that probability of consumption, through PDS, of minorities, economically and socially backward classes are higher, in general.