Unobserved Heterogeneity in Matching Games

Agents in two-sided matching games vary in characteristics that are unobservable in typical data on matching markets. We investigate the identification of the distribution of unobserved characteristics using data on who matches with whom. In full generality, we consider many-to-many matching and matching with trades. The distribution of match-specific unobservables cannot be fully recovered without information on unmatched agents, but the distribution of a combination of unobservables, which we call unobserved complementarities, can be identified. Using data on unmatched agents restores identification.

• Publication year

  2018

• Venue

  Journal of Political Economy

• Publication date

  2018-07-03

• Fields of study

  Computer Science, Economics, Political Science

• Identifiers
  DOI 10.1086/697740
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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