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Estimating Matching Games with Transfers

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  • Jeremy T. Fox

Abstract

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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Cited by:
  1. Mariagiovanna Baccara & Ayse Imrohoroglu & Alistair Wilson & Leeat Yariv, 2009. "A Field Study on Matching with Network Externalities," Working Papers 09-13, New York University, Leonard N. Stern School of Business, Department of Economics.
  2. Patrick Bajari & Jeremy T. Fox & Stephen Ryan, 2006. "Evaluating Wireless Carrier Consolidation Using Semiparametric Demand Estimation," NBER Working Papers 12425, National Bureau of Economic Research, Inc.
  3. Christian Ahlin, 2010. "Matching for Credit: Risk and Diversification in Thai Microcredit Groups," Working Papers id:2588, eSocialSciences.
  4. Weese, Eric, 2013. "Political Mergers as Coalition Formation: An Analysis of the Heisei Municipal Amalgamations," Working Papers 113, Yale University, Department of Economics.
  5. Steven N. Durlauf & Yannis M. Ioannides, 2010. "Social Interactions," Annual Review of Economics, Annual Reviews, vol. 2(1), pages 451-478, 09.
  6. Álvarez de Toledo, Pablo & Núñez, Fernando & Usabiaga, Carlos, 2014. "An empirical approach on labour segmentation. Applications with individual duration data," Economic Modelling, Elsevier, vol. 36(C), pages 252-267.
  7. Nikhil Agarwal & William Diamond, 2013. "Identification and Estimation in Two-Sided Matching Markets," Cowles Foundation Discussion Papers 1905, Cowles Foundation for Research in Economics, Yale University, revised Feb 2014.
  8. Carlos Usabiaga & Fernando Núñez & Pablo Álvarez de Toledo, 2013. "Segmentación del mercado de trabajo, clusters, movilidad y duración de desempleo con datos individuales," Economic Working Papers at Centro de Estudios Andaluces E2013/02, Centro de Estudios Andaluces.
  9. Eric Weese, 2011. "Political Mergers as Coalition Formation," Working Papers 997, Economic Growth Center, Yale University.
  10. NAKAJIMA Kentaro, 2012. "Transactions as a Source of Agglomeration Economies: Buyer-seller matching in the Japanese manufacturing industry," Discussion papers 12021, Research Institute of Economy, Trade and Industry (RIETI).
  11. Soohyung Lee, 2008. "Preferences and Choice Constraints in Marital Sorting: Evidence From Korea," Discussion Papers 07-042, Stanford Institute for Economic Policy Research.
  12. Muriel Niederle & Leeat Yariv, 2009. "Decentralized Matching with Aligned Preferences," NBER Working Papers 14840, National Bureau of Economic Research, Inc.
  13. Álvarez de Toledo, Pablo & Núñez, Fernando & Usabiaga, Carlos, 2013. "Labour Market Segmentation, Clusters, Mobility and Unemployment Duration with Individual Microdata," MPRA Paper 46003, University Library of Munich, Germany.
  14. Eric Weese, 2013. "Political Mergers as Coalition Formation: An Analysis of the Heisei Municipal Amalgamations," Working Papers 1022, Economic Growth Center, Yale University.

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