Estimating Separable Matching Models

Alfred Galichon (1, 2) , Bernard Salanié (3)

1 NYU - New York University [New York]
2 ECON - Département d'économie (Sciences Po)
3 Columbia University [New York]

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.

Keywords: Matching; Marriage; Assignment; Estimations comparison

Domains: Humanities and Social Sciences; Economics and Finance

Alfred Galichon, Bernard Salanié. Estimating Separable Matching Models. 2022. ⟨hal-03936122⟩