Estimating separable matching models

Alfred Galichon, Bernard Salanié

    Research output: Contribution to journalArticlepeer-review


    Most recent empirical applications of matching with transferable utility have imposed a natural restriction: that the joint surplus be separable in the sources of unobserved heterogeneity. We propose here two simple methods to estimate models in this class. The first method is a minimum distance estimator that relies on the generalized entropy of matching. The second applies to the more special but popular Choo and Siow model, which reformulates as a generalized linear model with two-way fixed effects. Neither method requires solving for the stable matching. Both methods are easy to apply and perform very well.

    Original languageEnglish (US)
    JournalJournal of Applied Econometrics
    StateAccepted/In press - 2024


    • assignment
    • marriage
    • matching
    • structural estimation

    ASJC Scopus subject areas

    • Social Sciences (miscellaneous)
    • Economics and Econometrics


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