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Preprints, Working Papers, ... (Working Paper) Year : 2022

Estimating Separable Matching Models

Abstract

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.
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Dates and versions

hal-03936122 , version 1 (12-01-2023)

Licence

Attribution - NonCommercial - NoDerivatives

Identifiers

  • HAL Id : hal-03936122 , version 1

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