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Empirical Models of Auctions


Susan Athey


Stanford University - Department of Economics; National Bureau of Economic Research (NBER)

Philip A. Haile


Yale University - Department of Economics; National Bureau of Economic Research (NBER)

March 2006

Cowles Foundation Discussion Paper No. 1562

Abstract:     
Many important economic questions arising in auctions can be answered only with knowledge of the underlying primitive distributions governing bidder demand and information. An active literature has developed aiming to estimate these primitives by exploiting restrictions from economic theory as part of the econometric model used to interpret auction data. We review some highlights of this recent literature, focusing on identification and empirical applications. We describe three insights that underlie much of the recent methodological progress in this area and discuss some of the ways these insights have been extended to richer models allowing more convincing empirical applications. We discuss several recent empirical studies using these methods to address a range of important economic questions.

Number of Pages in PDF File: 49

Keywords: Auctions, identification, estimation, testing

JEL Classification: C5, L1, D4

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Date posted: March 14, 2006  

Suggested Citation

Athey, Susan and Haile, Philip A., Empirical Models of Auctions (March 2006). Cowles Foundation Discussion Paper No. 1562. Available at SSRN: http://ssrn.com/abstract=890649

Contact Information

Susan Carleton Athey
Stanford University - Department of Economics ( email )
Landau Economics Building
579 Serra Mall
Stanford, CA 94305-6072
United States
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
Philip A. Haile (Contact Author)
Yale University - Department of Economics ( email )
New Haven, CT 06520-8264
United States
203-432-3568 (Phone)
203-432-6323 (Fax)
National Bureau of Economic Research (NBER)
1050 Massachusetts Avenue
Cambridge, MA 02138
United States
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