2022 Reports
Estimating Separable Matching Models
In this paper we propose two simple methods to estimate models of matching with transferable and separable utility introduced in Galichon and Salanié (2022). The first method is a minimum distance estimator that relies on the generalized entropy of matching. The second relies on a reformulation of the more special but popular Choo and Siow (2006) model; it uses generalized linear models (GLMs) with two-way fixed effects.
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- estimating_separable_models.pdf application/pdf 488 KB Download File
More About This Work
- Academic Units
- Economics
- Series
- Department of Economics Discussion Papers
- Published Here
- October 31, 2022