Estimating separable matching models

Alfred Galichon and Bernard Salanié

Journal of Applied Econometrics, 2024, vol. 39, issue 6, 1021-1044

Abstract: Most recent empirical applications of matching with transferable utility have imposed a natural restriction: that the joint surplus be separable in the sources of unobserved heterogeneity. We propose here two simple methods to estimate models in this class. The first method is a minimum distance estimator that relies on the generalized entropy of matching. The second applies to the more special but popular Choo and Siow model, which reformulates as a generalized linear model with two‐way fixed effects. Neither method requires solving for the stable matching. Both methods are easy to apply and perform very well.

Date: 2024
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https://doi.org/10.1002/jae.3061

Related works:
Working Paper: Estimating Separable Matching Models (2022)
Working Paper: Estimating Separable Matching Models (2022)
Working Paper: Estimating Separable Matching Models (2022)
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