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Discussion Papers

Title: Estimating Separable Matching Models
Author(s): Galichon, Alfred ; Salanie, Bernard
Academic Year: 2021-2022
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.

Fields: econometrics, labor economics
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1022 International Affairs Building (IAB)

Mail Code 3308

420 West 118th Street

New York, NY 10027

Ph: (212) 854-3680
Fax: (212) 854-0749
Business Hours:
Mon–Fri, 9:00 a.m.–5:00 p.m.
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