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.11/2014;
- Asian Population Studies 03/2014; 10(2):144-162.
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ABSTRACT: Can professional cultures contribute to wage inequality? Recent literature has demonstrated how widely held cultural biases reproduce ascriptive inequalities in the workforce, but cultural belief systems within professions have largely been ignored as mechanisms of intra-profession inequality. I argue that cultural ideologies about professional work, which may seem benign and have little salience outside of a profession’s boundaries, play an important role in reproducing wage inequalities therein. Using nationally representative data on engineers, I demonstrate that patterns of sex segregation and gendered wage allocation in engineering break consistently along the lines predicted by its “technical/social dualism”—an ideological distinction between “technical” and “social” engineering subfields and work activities. After explaining how these findings deepen our understanding of gender inequality in engineering, the article discusses how the consideration of professional cultures may open up fresh areas of inquiry into intra-profession inequality more generally.Social Forces 05/2013; 91(4):1147-1182. · 1.29 Impact Factor