Abstract
This paper develops a method to estimate workers’ outside employment opportunities. We outline a matching model with two-sided heterogeneity, from which we derive a sufficient statistic, the “outside options index” (OOI), for the effect of outside options on earnings, holding worker productivity constant. The OOI uses the cross-sectional concentration of similar workers across job types to quantify workers’ outside options as a function of workers’ commuting costs, preferences, and skills. Using German micro-data, we find that differences in options explain 20% of the gender earnings gap, and that gender gaps in options are mostly due to differences in the implicit costs of commuting and moving.
| Original language | English |
|---|---|
| Pages (from-to) | 3286-3315 |
| Number of pages | 30 |
| Journal | Review of Economic Studies |
| Volume | 91 |
| Issue number | 6 |
| DOIs | |
| State | Published - 1 Nov 2024 |
Funding
| Funders | Funder number |
|---|---|
| University of California Berkeley | |
| International Association of Bryologists | |
| University of Toronto | |
| University of Chicago | |
| University of Johannesburg | |
| Econometric Society World Congress | |
| Universität Zürich | |
| Society of Labor Economists | |
| Pinhas Sapir Center for Development | |
| Hebrew University of Jerusalem | |
| Tel Aviv University | |
| Massachusetts Institute of Technology | |
| Market Power in the Labor Market | 1241/1242 |
| National Science Foundation | 1122374 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 4 Quality Education
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SDG 5 Gender Equality
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SDG 8 Decent Work and Economic Growth
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SDG 10 Reduced Inequalities
Keywords
- Monopsony
- Outside options
- Wages
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