Discussion paper

DP17155 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 Salanie (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.


Galichon, A and B Salanié (2022), ‘DP17155 Estimating Separable Matching Models‘, CEPR Discussion Paper No. 17155. CEPR Press, Paris & London. https://cepr.org/publications/dp17155