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Estimating Matching Games with Transfers

  • Jeremy T. Fox

Economists wish to use data on matches to learn about the structural primitives that govern sorting. I show how to use equilibrium data on who matches with whom for semiparametric estimation of match production functions in many-to-many, two-sided matching games with transferable utility. Inequalities derived from equilibrium necessary conditions underlie a maximum score estimator of match production functions. The inequalities do not require data on transfers, quotas, production levels, or unmatched agents. The estimator does not suffer from a computational or data curse of dimensionality in the number of agents in a matching market, as the estimator avoids solving for an equilibrium and estimating first-stage match probabilities. I present an empirical application to automotive suppliers and assemblers.

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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 14382.

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Date of creation: Oct 2008
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Handle: RePEc:nbr:nberwo:14382
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