Working Paper: CEPR ID: DP17155
Authors: Alfred Galichon; Bernard Salani
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.
Keywords: matching; marriage; assignment; estimations; comparison
JEL Codes: C78; C13; C15
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| minimum distance estimator (C51) | joint surplus (H62) |
| moment-matching estimator (C51) | joint surplus (H62) |
| minimum distance estimator (C51) | observed matching patterns (C52) |
| moment-matching estimator (C51) | parameters in Cho and Siow model (C25) |
| joint surplus (H62) | matching outcomes (C52) |