INEQUALITY OF OPPORTUNITY IN EARNINGS AND CONSUMPTION EXPENDITURE: THE CASE OF INDIAN MEN

The paper associates inequality of opportunities with outcome differences that can be accounted by predetermined circumstances which lie beyond the control of an individual, such as parental education, parental occupation, caste, religion, and place of birth. The non‐parametric estimates using parental education as a measure of circumstances reveal that the opportunity share of earnings inequality in 2004–05 was 11–19 percent for urban India and 5–8 percent for rural India. The same figures for consumption expenditure inequality are 10–19 percent for urban India and 5–9 percent for rural India. The overall opportunity share estimates (parametric) of earnings inequality due to circumstances, including caste, religion, region, parental education, and parental occupation, vary from 18 to 26 percent for urban India, and from 16 to 21 percent for rural India. The overall opportunity share estimates for consumption expenditure inequality are close to the earnings inequality figures for both urban and rural areas. The analysis further finds evidence that the parental education specific opportunity share of overall earnings (and consumption expenditure) inequality is largest in urban India, but caste and geographical region also play an equally important role when rural India is considered.     

Effects of growing wage disparities and changing family composition on the U.S. income distribution

U.S. income inequality soared after 1979. The present paper estimates the contribution of increased earnings inequality to the surge in overall income inequality between 1979 and 1996. The direct contribution of increased earnings inequality is surprisingly modest. Even if male and female earnings inequality had remained unchanged at their 1979 levels, about two thirds of the observed increase in overall U.S. inequality would have occurred. Other factors contributing to higher overall inequality include the growing correlation of husband and wife earned incomes and the increasing percentage of Americans who live in single-adult families, families that typically have much more unequal incomes than husband–wife families.     

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.     

Education,occupation and earnings: A recursive approach for France

The purpose of this paper is to examine the relationship between education, occupation and earnings with an emphasis on the role of occupation in the determination of the effect of education on earnings. At the same time, several forms of human capital and other exogeneous variables are examined. The model is a recursive nature, and it was applied for French individual data. The result tells that despite very strong relationship between education and occupation, and between occupation and earnings, the relative significance of these relationships is greatly modified by different occupations (or classes). It was found also that men and women are considerably different not only as for the relationship between education, occupation and earnings, but also for several exogenous variables.     

Testing inequality of opportunities in Italy using the ANOVA framework

While the analysis of inequality has been central to economic studies for centuries, it was only in recent years that studies have concentrated on the distinction between inequality of opportunity and inequality of returns to effort and have attempted empirical estimates of the two components. The decomposition of a general inequality index into these two components allows to analyse the prevalence of fair or unfair income inequality within a country. This paper suggests to test the differences between the two sources of inequality in a simple way using the ANOVA framework adapted to decompose the coefficient of variation, to better suit the requirements of an inequality index. The proposed procedure is applied to the Italian Survey on Income and Living Condition (IT-SILC data, wave 2005 and 2011). The empirical results help identifying the circumstances that foster the rise of inequality of opportunities in Italy. Our analysis shows, in particular, that father education, region of residence and gender result as the most relevant circumstances determining inequality of opportunity. On the other side, the role of mother education starting from a lower level as an inequality of opportunity factor has increased its influence over time.     

Review Essay on Economics for the Common Good

The initial stage of labor market activity for young adults influences their labor market engagement and earnings profiles over their life cycle. I examine earnings inequality among young adults in a dynamic setting. Education, marital status, race are contributors to the observed earnings inequality. Earnings equalization is observed in the long run, and the proportion of earnings inequality attributed to education, marital status, and race is found to be significant.     

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 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.     

Magnitude and evolution of gender and race contributions to earnings inequality across US regions

This paper studies individual characteristics of earnings inequality within the population of blacks and whites in the United States over the period 2005–2017. Beyond education and age serving as a proxy for professional experience, applying a new Shapley income decomposition methodology enables us to isolate and measure two discriminative factors in earnings differences: race and gender. We show that these two factors explain a significant share of total earnings inequality, as defined by the Gini index, for all the geographical administrative divisions used. Whatever the division, the share of earnings inequality associated with gender greatly exceeds that of race. While gender earnings inequality has fallen over time, inequality associated with race has tended to increase since 2010 and is stronger in the Southeast of the country.     

Impact of Human Capital Endowments on Inequality of Outcomes in Cameroon

This paper evaluates the impact of human capital endowments on measured inequality in Cameroon. We first estimate determinants of household economic well‐being (HEW) in which human capital endowments are considered as endogenous effort‐related regressors, while controlling for exogenous circumstance‐related variables. Second, we simulate alternative counterfactual distributions of HEW: one in which human capital endowments are equalized; and the other in which variations are entirely attributable to the unobservable terms. Finally we compare inequality in the factual distribution of household well‐being with inequality in each of the simulated distributions. Direct and indirect exogenous opportunity‐inducing circumstances are inequality‐augmenting, whereas human capital endowments are inequality‐reducing in the actual distribution. Education and health interventions will ameliorate well‐being and mitigate inequality. Thus, leveling the playing ground for individuals to have equitable exposure to education, health and labor market participation is required for a low‐income country like Cameroon to enhance equity and sustainable household economic growth.     

OCCUPATIONAL EARNINGS BEHAVIOR AND THE INEQUALITY OF EARNINGS BY SEX AND RACE IN THE UNITED STATES*

This paper examines differences in earnings by occupations, and within occupations by sex and by race, on the basis of the 1/100 Public Use Samples of the 1960 and 1970 U.S. Population Censuses. It employs interval analysis to establish 32 categories of occupations with similar characteristics. Little relation was found between mean earnings of occupational groups and the degree of earnings inequality within them. When the figures are examined by sex, it was found that men, on average, earned over twice as much as women in both years, but women's earnings were more unequally distributed (as measured by the Gini coefficient). Women are concentrated in the traditional “female” occupations, which tend to be those at the bottom of the earnings scale, and men have a monopoly of the higher paid occupations. But mean earnings for men exceeded those for women in all occupational groups except one, even in the primarily female occupations. Standardizing first for occupational distribution and then for earnings by occupation, it was found that earnings differences between males and females within occupation had a greater impact on the overall male-female earnings ratio than did differences in occupational distribution by sex. In contrast, when the figures are examined by race, the change in occupational distribution (primarily the movement of blacks out of farming and of blacks and Spanish speakers out of personal services) was the major factor. There was also a considerable degree of earnings inequality within demographic groups. The degree of inequality was in the main reduced when the demographic groups were subdivided into occupations, but it was still substantial. Additional factors like time worked, schooling, and experience must be taken into consideration in understanding this phenomenon.     

INEQUALITY OF OPPORTUNITIES VS. INEQUALITY OF OUTCOMES: ARE WESTERN SOCIETIES ALL ALIKE?

This paper analyzes the relationship between income inequality and inequality of opportunities for income acquisition in nine developed countries during the 1990s. Equality of opportunity is defined as the situation where income distributions conditional on social origin cannot be ranked according to stochastic dominance criteria. We measure social origin by parental education and occupation and use the database built by Roemer et al. (2003 ). Stochastic dominance is assessed using nonparametric statistical tests. Our results indicate strong disparities in the degree of equality of opportunity across countries and a strong correlation between inequality of outcomes and inequality of opportunity. The U.S. and Italy show up as the most unequal countries in terms of both outcome and opportunity. At the opposite extreme, income distributions conditional on social origin are almost the same in Scandinavian countries even before any redistributive policy. We complement the ordinal comparison by resorting to an original scalar “Gini” index of opportunities, which can be decomposed into a risk and a return component. In our sample, inequality of opportunity is mostly driven by differences in mean income conditional on social origin, and differences in risk compensate the return element in most countries.     

INTERNATIONAL COMPARISONS OF EARNINGS INEQUALITY FOR MEN IN THE 1980s

In this paper we present a comparative analysis of earnings inequality during the 1980s among prime age men who headed households and worked year-round, full-time from five industrialized countries-Canada, Sweden, Australia, West Germany, and the United States. The data were obtained from the Luxembourg Income Study (LIS) database, a multinational collection of microdata sets from various countries which have been assembled for the primary purpose of making cross-national comparisons of economic and social well-being. The results of the comparison indicated that during the mid-1980s, the United States had the most unequal distribution of earnings and Sweden the least unequal. Between the early 1980s and mid-1980s, however, the earnings distributions in all five countries showed evidence of becoming more unequal, especially in the United States, Canada, and Sweden.     

共同富裕与机会平等

机会平等对能否实现共同富裕起着决定性的作用。本文利用机会集概念来检验机会不平等的程度,阐述了机会集的定义及估计方法,并采用非参数核函数方法,根据实际情况用MonteCarlo模拟隔代收入分布,在此基础上计算机会集。通过检验这些机会集的特征,表明父亲收入的高低对子女机会及收入流动性的影响。并提出一些旨在减少机会不平等的措施。     

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.     

FALLING LABOR INCOME INEQUALITY IN KOREA'S ECONOMIC GROWTH: PATTERNS AND UNDERLYING CAUSES

Over the last twenty-five years, the economy of the Republic of Korea achieved a remarkable growth rate of 7 percent per year in real per capita income, causing it to be labeled, justifiably, as a "miracle economy." This exceptional economic growth has beenpp accompanied by an even more exceptional fall m labor income inequality. Using a newly-developed methodology, we use data from Korea's Occupational Wage Surveys to quantify the importance of various factors that have contributed to the fall in labor income inequality in Korea. We find the most important factors explaining the level of income inequality are job tenure, gender, years of education, and occupation, while those that are most important in explaining the change in income inequality are years of education, industry, occupation, and potential experience.     

Globalization and the Return to Education in Australia

Reich argues that globalization will increase the relative earnings of those whose occupation involves identifying and solving problems and managing ideas. Hence, the return to education, especially education in the form of a university degree, will rise. This paper examines the return to education in Australia in the 1980s and shows that in the private sector there has been a substantial rise in the relative earnings of graduates. Due to special circumstances there has been a fall in the public sector. Previous findings of little change are the result of aggregation problems.     

Income Distribution Dynamics with Endogenous Fertility

Developing countries with highly unequal income distributions, such as Brazil or South Africa, face an uphill battle in reducing inequality. Educated workers in these countries have a much lower birthrate than uneducated workers. Assuming children of educated workers are more likely to become educated, this fertility differential increases the proportion of unskilled workers, reducing their wages, and thus their opportunity cost of having children, creating a vicious cycle. A model incorporating this effect generates multiple steady-state levels of inequality, suggesting that in some circumstances, temporarily increasing access to educational opportunities could permanently reduce inequality. Empirical evidence suggests that the fertility differential between the educated and uneducated is greater in less equal countries, consistent with the model.     

Returns to skills around the world: Evidence from PIAAC

Existing estimates of the labor-market returns to human capital give a distorted picture of the role of skills across different economies. International comparisons of earnings analyses rely almost exclusively on school attainment measures of human capital, and evidence incorporating direct measures of cognitive skills is mostly restricted to early-career workers in the United States. Analysis of the new PIAAC survey of adult skills over the full lifecycle in 23 countries shows that the focus on early-career earnings leads to underestimating the lifetime returns to skills by about one quarter. On average, a one-standard-deviation increase in numeracy skills is associated with an 18 percent wage increase among prime-age workers. But this masks considerable heterogeneity across countries. Eight countries, including all Nordic countries, have returns between 12 and 15 percent, while six are above 21 percent with the largest return being 28 percent in the United States. Estimates are remarkably robust to different earnings and skill measures, additional controls, and various subgroups. Instrumental-variable models that use skill variation stemming from school attainment, parental education, or compulsory-schooling laws provide even higher estimates. Intriguingly, returns to skills are systematically lower in countries with higher union density, stricter employment protection, and larger public-sector shares.