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The weekly wage gap between black and white female workers narrowed by 15 percentage points during the 1940s. We employ a semi-parametric technique to decompose changes in the distribution of wages. We find that changes in worker characteristics (such as education, occupation and industry, and region of residence) can account for a significant portion of wage convergence between black and white women, but that changes in the wage structure, including large black-specific gains within regions, occupations, industries, and educational groups, made the largest contributions. The single most important contributing factor to the observed convergence was a sharp increase in the relative wages of service workers (where black workers were heavily concentrated) even as black women moved out of domestic service jobs
The paper analyzes the effects of job mobility on earnings both at young and at older ages. The model takes into account the discontinuity of earnings across jobs, the decline of human capital investment within the job and over the life cycle, and the effects of mobility on the slope of the earnings profile. Careful attention to the functional form of the earnings equation indicates why the coefficient of the current segment is usually larger than the coefficient of the previous segments. Findings from the NLS data include: (1.) Mobile individuals at all ages invest significantly less in on-the-job training. (2.) Although job mobility is associated with significant wage gains (across jobs), there is a substantial wage differential between the mobile and the non-mobile at older ages. (3.) The explanatory power of the earnings equation is significantly increased by accounting for the effects of job mobility; job mobility is an important determinant of the wage structure.