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.
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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;
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ABSTRACT: Empirical research investigating the impact of top management team (TMT) diversity on executives’ decision making has produced inconclusive results. To synthesize and aggregate the results on the diversity-performance link, a meta-regression analysis (MRA) is conducted. It integrates more than 200 estimates from 53 empirical studies investigating TMT diversity and its impact on the quality of executives’ decision making as reflected in corporate performance. The analysis contributes to the literature by theoretically discussing and empirically examining the effects of TMT diversity on corporate performance. Our results do not show a link between TMT diversity and performance but provide evidence for publication bias. Thus, the findings raise doubts on the impact of TMT diversity on performance.Group & Organization Management 08/2013; 38(4):455-479. · 2.43 Impact Factor
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ABSTRACT: This paper provides a commentary on the article by Lips (2012), “The Gender Pay Gap: Challenging the Rationalizations, Perceived Equity, Discrimination, and the Limits of Human Capital Models.” It provides some economic background for human capital models that try to explain gender pay gaps, and discusses the limitations of the models. It assesses some of Lips’ criticisms of the model. In contrast to Lips, the author believes that human capital theorists are generally aware of the limitations of their models, and she believes that human capital models make a valuable contribution to the literature on the gender pay gap. The author also uses her own research to illustrate how human capital variables can be combined with variables from psychology and other fields to try to understand the salary differences between men and women in specific professions. The Appendix provides a list of some 2011 and 2012 studies that examine gender differences in pay in various countries and the types of data used.Sex Roles 68(3-4). · 1.47 Impact Factor