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: Pedro Portugal[Show abstract] [Hide abstract]
ABSTRACT: Earlier literature on the gender pay gap has taught us that occupations matter and so do firms. However, the role of the firm has received little scrutiny; occupations have most often been coded in a rather aggregate way, lumping together different jobs; and the use of samples of workers prevents any reliable determination of either the extent of segregation or the relative importance of access to firms versus occupations. Our contribution is twofold. We provide a clear measure of the impact of the allocation of workers to firms and to job titles shaping the gender pay gap. We also provide a methodological contribution that combines the estimation of sets of high-dimensional fixed effects and Gelbach's (2009) unambiguous decomposition of the conditional gap. We find that one fifth of the gender pay gap results from segregation of workers across firms and one fifth from job segregation. We also show that the widely documented glass ceiling effect operates mainly through worker allocation to firms rather than occupations.
- [Show abstract] [Hide abstract]
ABSTRACT: The location of new homes defines the urban-rural fringe and determines many facets of the urban-rural interaction set in motion by construction of new homes in previously rural areas. Home, neighborhood and school district characteristics play a crucial role in determining the spatial location of new residential construction, which in turn defines the boundary and spatial extent of the urban-rural fringe. We develop and apply a spatial hedonic variant of the Blinder-Oaxaca price decomposition to newer versus older home sales in the Columbus, Ohio metropolitan area during the year 2000. The preferences of buyers of newer homes are compared to those who purchased the nearest neighboring older home located in the same census block group, during the same year. Use of the nearest older home purchased in the same location represents a methodology to control for various neighborhood, social-economic-demographic and school district characteristics that influence home prices. Since newer homes reflect current preferences for home characteristics while older homes reflect past preferences for these characteristics, we use the price differentials between newer and older home sales in the Blinder-Oaxaca decomposition to assess the relative significance of various house characteristics to home buyers. Finally, our analysis examines characteristics that are valued highly by home buyers with reference to distance from the center of the Columbus metropolitan area to shed light on the spatial extent of the urban-rural fringe.Journal of Geographical Systems 02/2008; 10(1):1-21. · 1.17 Impact Factor
- [Show abstract] [Hide abstract]
ABSTRACT: Women earn less than men but are not less satisfied with life. This paper explores whether norms regarding the appropriate pay for women compared to men may explain these findings. We find that the gender wage gap is smaller where a larger fraction of the citizenry has voted in favor of equal pay. We also find that employed women are less (not more) satisfied with life in liberal communities where the gender wage gap is smaller. These findings suggest that norms regarding the appropriate relative pay of women compared to men are shaping gender differences in well-being. KeywordsGender discrimination-Gender wage gap-Subjective well-being JEL ClassificationI31-J70-Z13Journal of Population Economics 01/2010; 23(3):933-962. · 0.92 Impact Factor