Labor Market Structure, Human Capital, and Earnings Inequality in Metropolitan Areas

Social Forces ◽  
1988 ◽  
Vol 67 (1) ◽  
pp. 86 ◽  
Author(s):  
Arthur Sakamoto



1993 ◽  
Vol 21 (4) ◽  
pp. 19-52 ◽  
Author(s):  
Kwabena Gyimah-Brempong ◽  
Rudy Fichtenbaum

This article uses the decomposition analysis developed by Neumark and the 1987 CPS data to investigate the relative importance of human capital and labor market structure in explaining the observed wage differential between white males and blacks (both male and female). We find that labor market structure, as opposed to differences in human capital, explains a relatively large portion of the wage gap between white males and blacks. In addition to blacks and whites being paid different wages for the same work, they are also given unequal opportunities. This means that narrowing the human capital gap between the races will not be enough to close the wage gap, as argued by human capital theorists. It is equally important to pursue policies that provide access to higher paying jobs and industries for blacks.





Author(s):  
Derick R. C. Almeida ◽  
João A. S. Andrade ◽  
Adelaide Duarte ◽  
Marta Simões

AbstractThis paper examines human capital inequality and how it relates to earnings inequality in Portugal using data from Quadros de Pessoal for the period 1986–2017. The objective is threefold: (i) show how the distribution of human capital has evolved over time; (ii) investigate the association between human capital inequality and earnings inequality; and (iii) analyse the role of returns to schooling, together with human capital inequality, in the explanation of earnings inequality. Our findings suggest that human capital inequality, computed based on the distribution of average years of schooling of employees working in the Portuguese private labour market, records a positive trend until 2007 and decreases from this year onwards, suggesting the existence of a Kuznets curve of education relating educational attainment levels and education inequality. Based on the decomposition of a Generalized Entropy index (Theil N) for earnings inequality, we observe that inequality in the distribution of human capital plays an important role in the explanation of earnings inequality, although this role has become less important over the last decade. Using Mincerian earnings regressions to estimate the returns to schooling together with the Blinder-Oaxaca decomposition of real hourly earnings we confirm that there are two important forces associated with the observed decrease in earnings inequality: a reduction in education inequality and compressed returns to schooling, mainly in tertiary education.



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