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Estimating Separable Matching Models

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  • Galichon, Alfred
  • Salanié, Bernard

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.

Suggested Citation

  • Galichon, Alfred & Salanié, Bernard, 2022. "Estimating Separable Matching Models," CEPR Discussion Papers 17155, C.E.P.R. Discussion Papers.
    • Handle: RePEc:cpr:ceprdp:17155
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    Cited by:

    1. is not listed on IDEAS
    2. Dupuy, Arnaud & Raux, Morgan & Signorelli, Sara, 2024. "Digitalization, Change in Skill Distance between Occupations and Worker Mobility: A Gravity Model Approach," IZA Discussion Papers 17535, Institute of Labor Economics (IZA).

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    Keywords

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    JEL classification:

    • C78 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Bargaining Theory; Matching Theory
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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