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Partial Identification in Matching Models for the Marriage Market

Cristina Gualdani, Shruti Sinha

arXiv 14 Feb 2019 · Econometrics · publishedJournal of Political Economy (2022) · 14 citations (OpenAlex)

arXiv:1902.05610 · PDF · DOI · OpenAlex · Extracted main text

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 characterisation of the identified set under various classes of nonparametric distributional assumptions on the unobserved heterogeneity. Using our methodology, we re-examine 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.

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Cited by, within the corpus

arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.

Citing paperIntensityMentionsSections
1Counterfactual Sensitivity and Robustness0.64422
2Identification and Estimation in Many-to-one Two-sided Matching without Transfers0.40511
3Semi-Nonparametric Models of Multidimensional Matching: an Optimal Transport Approach0.40511
4Transferable Utility Matching Beyond Logit: Computation and Estimation with General Heterogeneity0.40511
5The Econometrics of Matching with Transferable Utility: A Progress Report0.40511