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Journal ArticleDOI

The Gender Pay Gap Beyond Human Capital: Heterogeneity in Noncognitive Skills and in Labor Market Tastes

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TLDR
For example, the authors found that noncognitive skills (for example, confidence and assertiveness) and preferences regarding family, career, and jobs account for 82 percent of the gender earnings gap.
Abstract
:Focused on human capital, economists typically explain about half of the gender earnings gap. For a national sample of MBAs, we account for 82 percent of the gap by incorporating noncognitive skills (for example, confidence and assertiveness) and preferences regarding family, career, and jobs. Those two sources of gender heterogeneity account for a quarter of the "explained" pay gap, with half due to human capital variables and the other quarter due to hours worked and current job characteristics. Female MBAs appear to pay a penalty for "good citizen" behavior (choosing jobs that contribute to society) and characteristics (higher ethical standards).

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ReportDOI

The Gender Earnings Gap in the Gig Economy: Evidence from over a Million Rideshare Drivers

TL;DR: In this paper, the authors examined the gender earnings gap among rideshare drivers in the U.S. and found that women's relatively high opportunity cost of non-paid-work time and gender-based differences in preferences and constraints can sustain a gender pay gap.
Journal ArticleDOI

Why and When Does the Gender Gap Reverse? Diversity Goals and the Pay Premium for High Potential Women

TL;DR: In this paper, the authors propose that the widespread adoption of divergences can help women to close the gender pay gap; women earn less than men, all else being equal.
Journal ArticleDOI

The gender wage gap in Europe: Job preferences, gender convergence and distributional effects

TL;DR: This article found that gender differences in job preferences contribute 10% to the gender wage gap, which is more than job tenure, previous employment status or field of study, and the role of job preferences is particularly strong at the top of the wage distribution.
Reference EntryDOI

Occupation and Gender

TL;DR: The authors studied the role of gender differences in psychological traits, preferences for non-pecuniary (family-friendly) job characteristics, personality traits, and skills, and the gender wage gap.
Journal ArticleDOI

Sorting through global corruption determinants: Institutions and education matter – Not culture

TL;DR: In this article, the authors use Bayesian Model Averaging (BMA) to analyze a comprehensive list of 36 potential corruption determinants across 123 countries (covering 87 percent of the world population) to identify the robust determinants of corruption among cultural, economic, institutional, and geographical factors.
References
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Book

Human Capital: A Theoretical and Empirical Analysis, with Special Reference to Education

TL;DR: In this paper, the effects of investment in education and training on earnings and employment are discussed. But the authors focus on the relationship between age and earnings and do not explore the relation between education and fertility.
Journal ArticleDOI

Male-Female Wage Differentials in Urban Labor Markets

TL;DR: In this article, the authors estimate the average extent of discrimination against female workers in the United States and provide a quantitative assessment of the sources of male-female wage differentials in the same occupation.
Book

Human Capital

Gary Becker
Journal ArticleDOI

Wage Discrimination: Reduced Form and Structural Estimates

TL;DR: In this paper, a distinction is drawn between reduced form and structural wage equations, and both are estimated They are shown to have very different implications for analyzing the white-black and male-female wage differentials.
Journal ArticleDOI

Gender Differences in Preferences

TL;DR: This paper reviewed the literature on gender differences in economic experiments and identified robust differences in risk preferences, social (other-regarding) preferences, and competitive preferences, speculating on the source of these differences and their implications.
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