Affiliation:
1. UC Berkeley and NBER , USA
2. Tel Aviv University and CEPR , Israel
Abstract
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.
Funder
National Science Foundation Graduate Research Fellowship
Tel Aviv University
Publisher
Oxford University Press (OUP)
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