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Empirical Models of Auctions

Susan Athey

Stanford Graduate School of Business

Philip A. Haile

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

March 2006

NBER Working Paper No. w12126

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

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Date posted: May 15, 2006  

Suggested Citation

Athey, Susan and Haile, Philip A., Empirical Models of Auctions (March 2006). NBER Working Paper No. w12126. Available at SSRN: https://ssrn.com/abstract=893781

Contact Information

Susan Carleton Athey (Contact Author)
Stanford Graduate School of Business ( email )
655 Knight Way
Stanford, CA 94305-5015
United States

Philip A. Haile
Yale University - Department of Economics ( email )
28 Hillhouse Ave
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
Yale University - Cowles Foundation
Box 208281
New Haven, CT 06520-8281
United States

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