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arXiv · 2204.00362

Estimating Separable Matching Models

Alfred Galichon·Bernard Salanié
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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.

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Alfred Galichon, Bernard Salanié. 2022-04-01. Estimating Separable Matching Models. https://arxiv.org/abs/2204.00362

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