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.     

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 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.     

More Educated Sex Workers Earn More in Indonesia

Although sex work is prevalent, little is known about the relation between education and the price of sex. This study analyzed a dataset of 8,817 Indonesian sex workers (SWs) to conduct an econometric analysis of the relationship between education and the price of sex. When the study controlled for demographic variables, an additional year of schooling was related to a 10 percent increase in the price. About half of this relation was explained by the location of sex, implying that education provided SWs with access to higher-paying clients via locations. The study also analyzed data on comparable non-SWs and found that the relation between education and the price of sex for SWs was the same in size as that of education to hourly earnings for non-SWs. The findings are consistent with the growing body of research that highlights the beneficial effects of education on outcomes beyond the conventional labor market.     

Occupations,fields of study and returns to education

This paper considers several possible channels behind the well‐documented effect of education on earnings. The first channel is that education makes workers more productive on a given task, as in a conventional human capital framework. The second channel is based on the idea that education helps workers get assigned to higher‐paying occupations where output is more sensitive to skill. A third and final channel is that workers are more productive and earn more when they are matched to a job related to their field of study. Using data from the 2005 National Graduate Survey and the 2006 Canadian Census, I find that channels two and three account for close to half of the conventionally measured return to education. The results indicate that the return to education varies greatly depending on occupation, field of study and the match between these two factors.     

Linearity of the return to education and self selection

This paper investigates the earnings-education profile in Spain. First no functional form is imposed on this relation but instead dummy variables are used for each year of education. Second, different alternatives are analysed until the best parametric form is found. Moreover problems related to the self selection of individuals and to the segmentation of the labour market based on the educational level are considered. The main results indicate that the effect of education on earnings is not significant until individuals finish secondary education and from there onwards the relationship can be considered linear.     

IMPACT OF CHILD QUALITY ON EARNINGS: THE PRODUCTIVITY-OF-SCHOOLING HYPOTHESIS

This paper investigates the relationship between average earnings, education (measured by years of schooling), and rates of return to education for major racial/ethnic groups in the United States. It considers the effect of including previously omitted "productivity-of-schooling" (also referred to here as "child quality") variables. An upward-sloping average education, rate-of-return-to-education profile exists for His-panics, blacks, and whites. Productivity-of-schooling (i.e., child quality) measures– including family size, family composition, ability, and parental inputs–significantly affect earnings and rates of return to education. The results here are consistent with Chiswick (1988). Conditions within the family play a larger role in determining the value of education for minority males than for white males, a conclusion of obvious interest to policymakers.     

Expected Life-earnings Paths with and without Higher Education: The case of India

The paper analyses students' expectations of earnings with and without higher education at three career points: at entry to the labour force, at the five year point, and career peak, constructing paths of expected earnings. The estimated expected internal rates of return to investment in different types of higher education are quite high. Considering ratios of expected peak-year to entry earnings, the highest gradient is in the case of specialised/professional education. Similarly for the case of students of urban origin as compared with those of semi-urban or rural origin. Likewise, the gradient is relatively high in the case of students with an English medium of study compared with the case of students with Punjabi or Hindi. As expected, the gradient is higher for those who aspire to higher education than those who do not, in all three types of higher education. The association between expected peak earnings and the proportion of gains in earnings that take place in the first five years is negative in all cases; only expectations of sustained growth in earnings lead to the highest predicted peak earnings levels. The regression results suggest that socio-economic background, social capital, ability, and school-related variables significantly influence the formation of expectations about earnings.     

Family Background and Economic Status in Finland

The importance of family background for economic outcomes is analyzed, using a Finnish data set. The estimates for intergenerational and sibling correlations in earnings are comparatively low. By estimating the magnitude of family influence conditional on parental earnings, children with poor parents are found to have lower intergenerational elasticities, while the sibling resemblance is higher. Children with rich parents have higher intergenerational elasticities and the sibling resemblance is also higher, except for daughters. The results also indicate that the largest share of the intergenerational correlation is transmitted through observed characteristics, such as education and, in particular, occupation.
JEL classification : D 1; D 3; J 6     

Earnings functions: beyond human capital

Taking a short-run view of the labour market, where individuals with given levels of education have to be matched with jobs differing in level of complexity and difficulty, wages are related to education and job levels. In a sample of some 13 000 observations, controlling for age, experience and sex, a model emphasizing both sides of the allocation process is favoured over the simple human capital view that ignores allocation once education is taken care of. It is claimed that the long-run human capital model can fruitfully be expanded with this short-run allocation structure. The empirical results measure the differences in earnings for individuals with given education working at different job levels, and shows them to be substantial. The relevance of adding job levels to the explanatory variables is illustrated with the case of female earnings discrimination and with differences in age–earnings profiles between general and vocational education.     

ADULT EDUCATION AND EARNINGS: EVIDENCE FROM BRITAIN

This paper uses the National Child Development Study to investigate the relationship between adult schooling and labour market earnings for men. In line with several other studies, the findings suggest that there are returns to all educational qualifications acquired early in life. A variety of statistical models are estimated to try to measure the causal effect of adult education on earnings. Careful analysis reveals that there are no genuine returns to additional qualifications awarded in middle adulthood. The central conclusion of this paper is that rates of return to human capital are greater for individuals who were educated early in life.     

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.     

''Don''t Know Much About History…'': Revisiting the Impact of Curriculum on Subsequent Labour Market Outcomes

Regression and neural network models of wage determination are constructed where the explanatory variables include detailed information about the impact of school curricula on future earnings. It is established that there are strong non‐linearities and interaction effects present in the relationship between curriculum and earnings. The results have important implications in the context of the human capital vs. signalling and screening debate. They also throw light on contemporary policy issues concerning the desirability of breadth vs. depth in the school curriculum.     

The educational attainment of immigrants: trends and implications

"This paper uses the 1970, 1980, and 1990 U.S. Censuses to study trends in educational attainment of immigrants relative to natives. Immigrants have become relatively less highly educated, but have become more highly educated in an absolute sense. The effects of changes in relative educational attainment between immigrants and natives on earnings are studied. Educational differences are found to explain more than half the observed wage gap between the two groups. The paper also allows for non-linearities in returns to education. Sheepskin effects influence earnings in different ways for natives and immigrants. Differences in returns to pre- and post-migration education also appear. The paper also finds evidence that immigrants crowd natives out of education, although the effects are stronger in secondary than in postsecondary education."     

An investigation into sexual orientation discrimination as an explanation for wage differences

This study explores the effects of sexual orientation on earnings. It is found that, ceteris paribus, men living with male partners tend to earn less than other men, and women living with female partners tend to earn more than other women. These earnings differentials tend to vary by region. They also vary by education and occupation for men, and with the presence of minor children for women. In addition, the age-earnings profiles of women living with female partners tend to be higher, flatter, and less concave than those of other women.     

The looks of a winner: Beauty and electoral success

We study the role of beauty in politics using candidate photos that figured prominently in electoral campaigns. Our investigation is based on visual assessments of 1929 Finnish political candidates from 10,011 respondents (of which 3708 were Finnish). As Finland has a proportional electoral system, we are able to compare the electoral success of non-incumbent candidates representing the same party. An increase in our measure of beauty by one standard deviation is associated with an increase of 20% in the number of votes for the average non-incumbent parliamentary candidate. The relationship is unaffected by including education and occupation as control variables and withstands several other robustness checks.     

延迟退休年龄下隔代抚育与劳动参与的抉择*——基于工资收入随机性假定的研究

隔代抚育会对延迟退休年龄政策在促进劳动力供给上产生挤出效应。为了对此进行验证，本文在工资收入随机性的假定及延迟退休5年的情景下，模拟了面临孙辈照护需求的女性临近退休者提前退休所产生的福利变化。进一步，本文采用CHIP和CHARLS的微观调查数据，对不同群组的收入增长率和收入风险进行了估计，继而分析了当面临孙辈照护需求时这些收入特征对退休决策者制度退休和退休后劳动参与抉择产生的影响。总体上，在延迟退休年龄政策下，隔代抚育将对女性劳动力供给产生挤出效应。当面临孙辈照护需求时，女性临近退休者的制度退休抉择主要受自身收入增长率和收入风险的影响，收入增长率越低，或收入风险越高，她们提前退休的意愿就越强烈；制度退休后的劳动参与则更多地受子女收入增长率的影响，子女收入增长率越高，劳动参与的概率越低。     

ABILITY AND AGE-INCOME PROFILES

This paper is devoted to the personal distribution of income. The focus is on the relation between individual age and income and on the observed regularities in these age-income profiles. Empirically, age-income profiles show marked differences by occupation and by education. In general, with increasing levels of education both the level and the slope of the age-income profile increase; there is also a tendency of the variance of income to increase with age. Explanations of these facts are discussed. The human capital model is found defective in two ways: direct measurement of capital formation that occurs through on-the-job training is not feasible and the demand side of the labor market is ignored. Lydall's approach stressing the role of ability development is considered promising, yet lacking a theoretic integration of the relevant factors. The relation between education and ability is also reviewed. It is concluded that IQ is an important variable associated with educational attainment, but that its explanatory power with respect to earnings in addition to length of schooling is almost negligible. Moreover, its development over age cannot be held responsible for the age-income profile, since its peak is far too early. Ability as a multidimensional concept appears attractive, though empirical problems are manifold. Finally, interesting direct empirical evidence on productivity development with experience is found in the literature on the learning curve. In certain jobs, where productivity can be measured directly, increasing experience on the job produces an asymptotic productivity profile. In the final section the conclusions are reviewed and used to briefly indicate a new theory. According to this theory, capabilities are the key variables in the labor market. Individual preferences regarding employment of these capabilities guide decisions about job choice. The labor market rewards capabilities and capability development over age explains the age-income profile.     

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.     

Native-immigrant wage differentials in Greece: discrimination and assimilation

This article applies the Blinder–Oaxaca methodology in order to dissect the average earnings differentials between Greek workers and three different groups of immigrants into a part attributed to differences in characteristics and a part due to discrimination. It also seeks to identify the effect of assimilation (i.e. postmigration human capital) on immigrants’ earnings. We use information about 8429 individuals, of which 1185 are immigrants. The data are drawn from the Greek Labour Force Survey (2009). Our results suggest that discrimination is significantly higher for immigrants originating from non-EU countries than it is for EU foreigners, while it is negative for those who terminated education in Greece. Also, there is evidence that (i) post-migration human capital is a significant determinant of immigrants earnings, (ii) there is limited transferability of skills between sending countries and Greece and (iii) education is the main determinant of the wage gap between natives and immigrants.