Journal ArticleDOI
Panel Estimates of Male-Female Earnings Functions
Moon-Kak Kim,Solomon W. Polachek +1 more
TLDR
This paper applied single and simultaneous equation fixed-effects (FE) and random effects (RE) panel data estimation techniques to obtain male and female earnings function parameters, and found that earnings appreciation with experience and depreciation with labor market intermittency are comparable for men and women.Abstract:
This paper applies single and simultaneous equation fixed-effects (FE) and random-effects (RE) panel data estimation techniques to obtain male and female earnings function parameters. Using the Panel Study of Income Dynamics (PSID), the paperfinds that earnings appreciation with experience and depreciation with labor market intermittency are comparable for men and women. Further, skill atrophy rates increase not decrease once one controls for heterogeneity and endogeneity. Finally the unexplained male-female wage differential declines from 40 percent to 20 percent when one adjusts for heterogeneity. Adjusting for endogeneity depends very much on the choice of instruments. However, when adjusting for endogeneity the gender earnings gap falls and approaches zero percent. These results hold for two separate subsamples so that the estimates appear robust independent of sample selectivity.read more
Citations
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Journal ArticleDOI
Panel Models in Sociological Research: Theory into Practice
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Book ChapterDOI
Chapter 48 Race and gender in the labor market
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Poverty Reduction and Growth: Virtuous and Vicious Circles
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References
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Journal ArticleDOI
Specification Tests in Econometrics
TL;DR: In this article, the null hypothesis of no misspecification was used to show that an asymptotically efficient estimator must have zero covariance with its difference from a consistent but asymptonically inefficient estimator, and specification tests for a number of model specifications in econometrics.
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Schooling, Experience, and Earnings
TL;DR: In this article, the authors analyzed the distribution of worker earnings across workers and over the working age as consequences of differential investments in human capital and developed the human capital earnings function, an econometric tool for assessing rates of return and other investment parameters.
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Analysis of Panel Data
TL;DR: In this paper, the authors propose a homogeneity test for linear regression models (analysis of covariance) and show that linear regression with variable intercepts is more consistent than simple regression with simple intercepts.
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The Theory and Practice of Econometrics
TL;DR: The Classical Inference Approach for the General Linear Model, Statistical Decision Theory and Biased Estimation, and the Bayesian Approach to Inference are reviewed.
Journal ArticleDOI
Panel data and unobservable individual effects
TL;DR: In this article, the authors derived a test for the presence of this effect and for the over-identifying restriction they use; necessary and sufficient conditions for identification of all the parameters in the model; and the asymptotically efficient instrumental variables estimator and conditions under which it differs from the within-groups estimator.