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Source: Journal of Interdisciplinary Economics
Resulting in 2 citations.
1. Beck, Jason
Exploring the Link Between Wages and Psychological Capital
Journal of Interdisciplinary Economics published online (22 March 2021): DOI: 10.1177/0260107921989914.
Also: https://journals.sagepub.com/doi/full/10.1177/0260107921989914
Cohort(s): NLSY79
Publisher: Sage Publications
Keyword(s): Racial Differences; Self-Esteem; Wage Equations; Wage Models

Permission to reprint the abstract has not been received from the publisher.

Traditional Mincer-type hedonic wage equations typically fail to account for the effect of psychological capital, in part because such factors are often regarded as unobservable. This article incorporates a measure of psychological capital (specifically, self-esteem) that has been validated in the psychology literature into an otherwise typical hedonic wage model. Then, the sample is divided into race and gender subgroups and estimates are compared. The results suggest that self-esteem does play a role in determining wages for Whites (White men, in particular), but it has no detectable effect on the wages of African-Americans. Data are drawn from the 1979 National Longitudinal Study of Youth.
Bibliography Citation
Beck, Jason. "Exploring the Link Between Wages and Psychological Capital." Journal of Interdisciplinary Economics published online (22 March 2021): DOI: 10.1177/0260107921989914.
2. Farja, Yanay
Tillman, Avi
Zax, Ori
The Gender Gap: Looking at the Entire Distribution
Journal of Interdisciplinary Economics published online (15 September 2020): DOI: 10.1177/0260107920938544.
Also: https://journals.sagepub.com/doi/full/10.1177/0260107920938544
Cohort(s): NLSY79
Publisher: Sage Publications
Keyword(s): Gender Differences; Modeling, Fixed Effects; Research Methodology; Wage Differentials; Wage Gap

Permission to reprint the abstract has not been received from the publisher.

We propose a new method of estimating wage differences among individuals from different populations, which is based on looking at the distribution of fixed effects from a wage regression. We use this method to compare males' and females' wage distribution at different levels of education and at different ages. In most cases, unobserved, time-constant factors increase the wage of males, compared to that of females, by a constant share. But this is not true when looking at the tails of the distribution. We also discuss the advantages of our method.
Bibliography Citation
Farja, Yanay, Avi Tillman and Ori Zax. "The Gender Gap: Looking at the Entire Distribution." Journal of Interdisciplinary Economics published online (15 September 2020): DOI: 10.1177/0260107920938544.