Gender Wage Discrimination Bias? A Meta-Regression Analysis
ABSTRACT This study provides a quantitative review of the empirical literature on gender wage discrimination. Although there is considerable agreement that gender wage discrimination exists, estimates of its magnitude vary widely. Our meta-regression analysis (MRA) reveals that the estimated gender gap has been steadily declining and the wage rate calculation to be crucial. Large biases are likely when researchers omit experience or fail to correct for selection bias. Finally, there appears to be significant gender bias in gender research. However, it is a virtuous variety where researchers tend to compensate for potential bias implicit in their gender membership.
SourceAvailable from: Marek Hlavac[Show abstract] [Hide abstract]
ABSTRACT: This article introduces the R package oaxaca to perform the Blinder-Oaxaca decom-position, a statistical method that decomposes the gap in mean outcomes across two groups into a portion that is due to differences in group characteristics and a portion that cannot be explained by such differences. Although this method has been most widely used to study gender-and race-based discrimination in the labor market, Blinder-Oaxaca decompositions can be applied to explain differences in any continuous outcome across any two groups. The oaxaca package implements all the most commonly used variants of the Blinder-Oaxaca decomposition for linear regression models, calculates bootstrapped standard errors for its estimates, and allows users to visualize the decomposition results.
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ABSTRACT: Using data from multi-waves of the National Family Health Survey conducted in India between 1992 and 2006, this study examines the pattern of rural-urban differentials in childhood malnutrition in India over time. Furthermore, it identifies the factors responsible for the rural-urban gap in childhood malnutrition and quantifies their contribution. The result shows a considerable and widening gap in childhood malnutrition across rural-urban residence in the country over the study period. The rural-urban gap in childhood malnutrition has narrowed in a few states whereas it widened in most states over time. The economic status of the household and parental education was the most significant contributors to the rural-urban gap in childhood malnutrition in India. Based on the findings, this study suggests that to reduce the rural-urban gap in childhood malnutrition, focus should be given to the rural poor.Asian Population Studies 03/2014; 10(2):144-162. DOI:10.1080/17441730.2014.902161