Estimating Separable Matching Models

Alfred Galichon and Bernard Salani\'e

Papers from arXiv.org

Abstract: In this paper we propose two simple methods to estimate models of matching with transferable and separable utility introduced in Galichon and Salani\'e (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.

Date: 2022-04
New Economics Papers: this item is included in nep-ecm and nep-upt
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