Discussion Papers
Title: Estimating Separable Matching Models
Author(s): Galichon, Alfred ; Salanie, Bernard
Academic Year: 2021-2022
Abstract
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.
Fields: econometrics, labor economics