Estimating Matching Games with Transfers

Jeremy Fox

No 14382, NBER Working Papers from National Bureau of Economic Research, Inc

Abstract: I explore the estimation of transferable utility matching games, encompassing many-to-many matching, marriage and matching with trading networks (trades). I introduce a matching maximum score estimator that does not suffer from a computational curse of dimensionality in the number of agents in a matching market. I apply the estimator to data on the car parts supplied by automotive suppliers to estimate the returns from different portfolios of parts to suppliers and automotive assemblers.

JEL-codes: C1 C14 C71 D85 L22 L62 (search for similar items in EconPapers)
Date: 2008-10
New Economics Papers: this item is included in nep-ecm and nep-gth
Note: IO
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (32)

Published as Jeremy T. Fox, 2018. "Estimating matching games with transfers," Quantitative Economics, vol 9(1), pages 1-38.

Downloads: (external link)
http://www.nber.org/papers/w14382.pdf (application/pdf)

Related works:
Working Paper: Estimating Matching Games with Transfers (2016)
Working Paper: Estimating Matching Games with Transfers (2016)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nbr:nberwo:14382

Ordering information: This working paper can be ordered from
http://www.nber.org/papers/w14382

Access Statistics for this paper

More papers in NBER Working Papers from National Bureau of Economic Research, Inc National Bureau of Economic Research, 1050 Massachusetts Avenue Cambridge, MA 02138, U.S.A.. Contact information at EDIRC.
Bibliographic data for series maintained by ().