Estimating Separable Matching Models

Alfred Galichon () and Bernard Salanié
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Alfred Galichon: NYU - New York University [New York] - NYU - NYU System, ECON - Département d'économie (Sciences Po) - Sciences Po - Sciences Po - CNRS - Centre National de la Recherche Scientifique

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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 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.

Keywords: Matching; Marriage; Assignment; Estimations comparison (search for similar items in EconPapers)
Date: 2022-04-04
New Economics Papers: this item is included in nep-des and nep-upt
Note: View the original document on HAL open archive server: https://sciencespo.hal.science/hal-03936122
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Citations: View citations in EconPapers (1)

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Related works:
Journal Article: Estimating separable matching models (2024)
Working Paper: Estimating Separable Matching Models (2022)
Working Paper: Estimating Separable Matching Models (2022)
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