Document Type
Honors Project - Open Access
Abstract
The gender wage gap between males and females has been well studied by labor economists. We take a multi-prong approach to evaluate three estimators —a regression-imputation estimator, a weighting estimator, and a doubly robust estimator—in estimating the gender wage gap. Using the Panel Study of Income Dynamics, we conduct an empirical study of the estimators’ performances. In a simulation study, we evaluate the properties of estimators and study whether bootstrapping is an appropriate measure of the uncertainty of each estimator. The findings show that while the estimators provide different results, the doubly robust estimator provides reliable and consistent results under model misspecification.
Recommended Citation
Zhang, Xinran, "Estimating the Gender Wage Gap: A Comparative Analysis of Different Estimators" (2025). Mathematics, Statistics, and Computer Science Honors Projects. 96.
https://digitalcommons.macalester.edu/mathcs_honors/96
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