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Partial Identification in Matching Models for the Marriage Market

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  • Cristina Gualdani
  • Shruti Sinha

Abstract

We study partial identification of the preference parameters in the one-to-one matching model with perfectly transferable utilities. We do so without imposing parametric distributional assumptions on the unobserved heterogeneity and with data on one large market. We provide a tractable characterization of the identified set under various classes of nonparametric distributional assumptions on the unobserved heterogeneity. We reexamine some of the relevant questions in the empirical literature on the marriage market, which have been previously studied under the logit assumption. Our results reveal that many findings in the aforementioned literature are primarily driven by such parametric restrictions.

Suggested Citation

  • Cristina Gualdani & Shruti Sinha, 2023. "Partial Identification in Matching Models for the Marriage Market," Journal of Political Economy, University of Chicago Press, vol. 131(5), pages 1109-1171.
    • Handle: RePEc:ucp:jpolec:doi:10.1086/722415
    DOI: 10.1086/722415
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    Cited by:

    1. Arnaud Dupuy & John Kennes & Ran Sun Lyng, 2023. "Job Amenities in the Market for CEOs," Economics Working Papers 2023-08, Department of Economics and Business Economics, Aarhus University.

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