Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 51-68 |
| Number of pages | 18 |
| Journal | Journal of Interdisciplinary Economics |
| Volume | 34 |
| Issue number | 1 |
| DOIs | |
| State | Published - Jan 2022 |
Bibliographical note
Publisher Copyright:© 2022 Sage Publications India Pvt. Ltd.
Funding
We are grateful to Mike Waldman and Itay Fainmesser for helpful discussions. The authors received no financial support for the research, authorship and/or publication of this article.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 5 Gender Equality
Keywords
- Discrimination
- panel data models
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