SCHOOLING AND OCCUPATIONAL EARNINGS*

This paper investigates the relation between schooling and earnings across and within occupations. Across occupations earnings are positively related to mean education. Within occupations the variance in schooling levels is generally substantial, but within two thirds of the occupations no relation between schooling and earnings is observed, while in the remaining third the pattern of sensitivity varies considerably. The sensitivity of earnings to education is greater for white males than white females and substantially greater for whites than blacks. When the white sample is divided into age cohorts, the degree of sensitivity of earnings to schooling is found to be greater for younger cohorts than older ones, except for the youngest cohort in 1970. In the conclusion, a structural interpretation of the distribution of earnings is proposed to account for the findings.     

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.     

LABOUR FORCE PARTICIPATION, RACE AND HUMAN CAPITAL: INFLUENCE ON EARNINGS DISTRIBUTIONS ACROSS STATES

In this paper we analyze the level of income inequality across states in 1970 and 1980 for several demographic groups. Furthermore, we examine the impact of labor force participation (LFP), education and other variables on inequality. We find that for tshe whole population, states with high LFP by females are states with low income inequality. The same holds true for states with high LFP for men. When we disaggregate by race, the results are quite consistent for whites, but not for blacks. States with relatively high education levels are associated with high inequality levels for the white cohort and the whole population, but there appears to be no similar association between education and inequality across states for blacks.     

EARNINGS INEQUALITY IN GREAT BRITAIN 1975–90: THE ROLE OF AGE

This paper is concerned with the growing earnings dispersion among British men. The study is based on unit record data drawn from the New Earnings Survey. It is found that increases in inequality within age groups account for most of the rise in earnings inequality overall. Occupation too is a significant explanation of growing inequality among workers, but the major part of increased inequality within age groups remains unexplained.     

THE STRUCTURE OF THE EARNINGS DISTRIBUTION: HOW ARE HOUSEHOLDS AND INDIVIDUALS RELATED?*

This paper investigates the links between individual and household distributions of earnings. Using a sample of 1991 data from the UK, considerable complexity is uncovered in the structure of the household earnings distribution. This is due to heterogeneity of earners and positive ‘clustering’ of earners within households. The structure of the clustering behaviour of earners for different household types is estimated, and the contribution of clustering to overall earnings inequality is evaluated. Perhaps surprisingly in view of the observed clustering behaviour, it is found that clustering has reduced overall inequality, although the mean-adjusted distribution of individual earnings is insignificantly different from the distribution of household earnings.     

TRENDS IN LONG-RUN VERSUS CROSS-SECTION EARNINGS INEQUALITY IN THE 1970s AND 1980s

This paper uses the PSID to assess the changes in earnings mobility and to compare the changes in cross-section and long-run inequality in the 1970s and 1980s. Previous inequality studies have primarily used measures of cross-section inequality. However, long-run inequality depends not only on cross-section inequality, but also on the degree of earnings mobility, which equalizes earnings over time. I find that earnings mobility increased during the 1970s, but fell during the 1980s. Consistent with this result, the increase in cross-section inequality overstated the true increase during the 1970s, but understated the true increase in inequality during the 1980s.     

SIZE-DISTRIBUTION OF EARNINGS AND HOUSEHOLD INCOMES IN SMALL SOCIALIST COUNTRIES

Part I: Availability and meaning of East European distributional statistics are discussed. Part II: Measures of inequality to be used in this study are examined: the Gini coefficient of concentration, though superior to some other single indicators, is found to be an unreliable comparative measure of inequality, and is therefore supplemented by a set of ratios of selected percentiles to the median. Part III: Inequality of full-time gross monthly earnings is measured for (almost) the whole civilian working population and for some subpopulations (selected industries, men, women) in Czechoslovakia and Yugoslavia through 1970, in Hungary through 1968: the observed inequality appears to be less than in small capitalist countries, in spite of the reversal of the socialist egalitarian trend in the 'sixties. The main factor of equalization of socialist earnings are small interoccupational and interregional differentials and a very flat age profile. Part IV: The socio-economic structure of households, the size of samples underlying the distributional statistics, and the composition of household “revenues” (wage and salary earnings, agricultural incomes, social security payments, relatively unimportant property incomes, as well as non-income cash flows) are examined. Inequality coefficients are estimated for per capita revenues of all households as well as subpopulations of households in Czechoslovakia and Hungary, and some information is given on the distribution of household incomes in Yugoslavia. Part V: Limits of desirable equalization of earnings are discussed. With very narrowly dispersed short-term earnings, lifetime earnings tend to be rather unequally distributed because of the variation of earning years among occupations. With largely equalized primary incomes, per capita household incomes tend to be more unequally distributed, in spite of massive transfers, because of the varying ratio of earners to dependents within households. The need of income differentials as incentives to work, the probable trade-off between income equality and economic growth, and socialist distributive principles are outlined.     

Occupational Mobility and Wage Inequality

In this article we argue that wage inequality and occupational mobility are intimately related. We are motivated by our empirical findings that human capital is occupation specific and that the fraction of workers switching occupations in the U.S. was as high as 16% a year in the early 1970's and had increased to 21% by the mid-1990's. We develop a general equilibrium model with occupation-specific human capital and heterogeneous experience levels within occupations. We find that the model, calibrated to match the level of occupational mobility in the 1970's, accounts quite well for the level of (within-group) wage inequality in that period. Next, we find that the model, calibrated to match the increase in occupational mobility, accounts for over 90% of the increase in wage inequality between the 1970's and the 1990's. The theory is also quantitatively consistent with the level and increase in the short-term variability of earnings.     

INEQUALITY OF WAGE RATES,EARNINGS AND FAMILY INCOME IN THE UNITED STATES, 1975–2002

This paper analyzes distributional changes over the last quarter of the twentieth century. We focus on four distinct distributions: the distribution of hourly wage rates, the distribution of annual earnings of individuals, the distribution of annual earnings of families, and the distribution of total family income adjusted for family size. Both male wage rate inequality and family income inequality accelerated during the early 1980s, increased at a slower rate through the early 1990s and then stabilized at a high level through the early 2000s. The similarity in the timing of changes in these two distributions has been used as evidence that increased family income inequality primarily reflects increased inequality of wage rates. We show that other important factors were also at work.     

CROSS‐SECTIONAL VARIATION IN INDIVIDUALS' EARNINGS INSTABILITY

There has been considerable recent interest in earnings instability—the variability of workers' earnings around their expected earnings paths. While previous work has measured trends in instability, often to illuminate trends in inequality, this paper investigates the variation across workers. Data from the Panel Study of Income Dynamics reveal considerable differences in earnings instability across demographic and occupational characteristics, generally in accordance with prior expectations. These results can also be used to develop a person‐specific measure of instability for use in behavioral studies, and it is shown that the resulting metric correlates strongly with several decisions that are plausibly influenced by earnings risk.     

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.     

RETIREMENT WEALTH AND LIFETIME EARNINGS*

This article argues that a satisfactory theory of wealth inequality should account not only for the marginal distribution of wealth, but also for the joint distribution of wealth and earnings. The article describes the joint distribution of retirement wealth and lifetime earnings in the Panel Study of Income Dynamics. It then evaluates the ability of a stochastic life‐cycle model to account for key features of this distribution. The life‐cycle model fails to account for three key features of the data. (1) The correlation between lifetime earnings and retirement wealth is too high. (2) The wealth gaps between earnings rich and earnings poor households are too large. (3) Wealth inequality among households with similar lifetime earnings is too small. Models in which households differ in rates of return or time preferences account much better for the joint distribution of retirement wealth and lifetime earnings.     

IMMIGRATION, POPULATION HETEROGENEITY, AND EARNINGS INEQUALITY IN HONG KONG

This paper analyzes the heterogeneity effect of immigration on earnings in-equality by decomposing the aggregate measure of total inequality. The analysis shows that a substantial portion of an increase in measured inequality could be due to shifts in shares of heterogeneous population groups caused by immigration policy rather than by widening earnings dispersion within these groups. The analysis is illustrated with census data of Hong Kong from 1981 to 1991. Income redistribution policy based on measured total inequality when there are shifts in population shares could be misguided.     

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.     

MEASURING EARNINGS INEQUALITY: AN ECONOMIC ANALYSIS OF THE BONFERRONI INDEX

This paper studies the economic content of the Bonferroni index. The most remarkable property of the Bonferroni index is that it overweights income transfers among the poor, and the weights are higher the lower the transfers occur on the income distribution. Hence, it is a good measure of inequality when changes in the living standards of the poor are concerned. There are many problems—especially in labor economics—that fall into this category. Using a version of the assignment model, we show that the Bonferroni index can be formulated endogenously within a mechanism featuring efficient assignment of workers to firms. This formulation is useful in evaluating the interactions between the distribution of skills and earnings inequality with a special emphasis on the lower tail of the earnings distribution. Moreover, it allows us to think about earnings inequality by separately analyzing the contribution of each economic parameter.     

THE EFFECTS OF SECONDARY SCHOOL QUALITY ON THE DISTRIBUTION OF EARNINGS

A number of researchers have investigated the effects of school quality on average earnings in the postschooling years. In this article we broaden the discussion to investigate whether school quality has a measurable impact at other points in the conditional earnings distribution. We find that in specifications that do not control for individual and family background characteristics there are differential effects of school resources on earnings. The most significant effects occur in the top half of the conditional earnings distribution. However, after controlling for a variety of demographic variables, much of the impact of school resources on earnings is diminished. Exceptions to this seem to be school enrollment levels and, to a lesser degree, expenditures: higher enrollments tend to raise the upper tail of the earnings distribution without a similar increase in the bottom of the distribution; the effect of expenditures is positive and significant for the 0.25 quantile and the median.     

EARNINGS INEQUALITY IN USA, 1969–99: COMPARING INEQUALITY USING EARNINGS EQUATIONS

A simple decomposition method using an earnings equation is proposed by synthesizing two decomposition methodologies, those of Juhn, Murphy, and Pierce (1993) and Fields (2003), in order to study changes in earnings inequality in America during the last three decades in the 20th century. The proposed method enables us to compute both aggregate and detailed decompositions of changes in earnings inequality. The decomposition of earnings inequality change during the last three decades in 20th century shows that the increase in earnings inequality in America was caused by changes in the wage structure and the distribution of unobservables. The premium to education contributes substantially to the widening of earnings inequality during the 1980s and 1990s. A decreasing male wage premium contributes to leveling earnings inequality.     

A DYNAMIC ANALYSIS OF EDUCATIONAL ATTAINMENT,OCCUPATIONAL CHOICES,AND JOB SEARCH*

This article examines career choices using a dynamic structural model that nests a job search model within a human capital model of occupational and educational choices. Wage growth occurs in the model because workers move between firms and occupations as they search for suitable job matches and because workers endogenously accumulate firm and occupation specific human capital. Simulations performed using the estimated model reveal that both self‐selection in occupational choices and mobility between firms account for a much larger share of total earnings and utility than the combined effects of firm and occupation specific human capital.     

Gender Wage Differentials and Occupational Segregation in Hong Kong, 1981–1996

This paper analyses gender wage differentials and the role of occupational segregation in Hong Kong. It is found that the female–male earnings ratio increased substantially from 0.710 in 1981 to 0.839 in 1996. A decomposition which takes into account occupational differences shows that the gender pay gap is mostly within occupations and most of the intra‐occupation wage gap is unexplained. The gender pay differential due to occupational differences is small; in fact, the overall occupational segregation favours females in Hong Kong.     

RELATIVE EARNINGS REDUX: YOUTH MOBILITY IN THE 1980s

A complete view of inequality should encompass not only measures of distance between hierarchical ranks, but also measures of the extent of individual movement across ranks (mobility). Evidence from the NLSY indicates that relative earnings mobility was pervasive among young workers in the 1980s; possibly even higher than in the 1960s. Gender and race differences are apparent, however.