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Empirical Models of Auctions

  • Susan Athey
  • Philip A. Haile

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.

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File URL: http://www.nber.org/papers/w12126.pdf
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Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 12126.

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Date of creation: Mar 2006
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Publication status: published as Blundell, Richard, Whitney Newey, and Torsten Persson (eds.) Advances in Economics and Econometrics, The- ory and Applications: Ninth World Congress, Volume II. Cambridge: Cambridge University Press, 2006, ch. 1, 1-45.
Handle: RePEc:nbr:nberwo:12126
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  2. Jonathan Levin & Susan Athey & Enrique Seira, 2004. "Comparing Open and Sealed Bid Auctions: Theory and Evidence from Timber Auctions," Working Papers 2004.142, Fondazione Eni Enrico Mattei.
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  19. Paarsch, Harry J., 1997. "Deriving an estimate of the optimal reserve price: An application to British Columbian timber sales," Journal of Econometrics, Elsevier, vol. 78(2), pages 333-357, June.
  20. Susan Athey & Jonathan Levin & Enrique Seira, 2011. "Comparing open and Sealed Bid Auctions: Evidence from Timber Auctions," The Quarterly Journal of Economics, Oxford University Press, vol. 126(1), pages 207-257.
  21. Asker, John & Cantillon, Estelle, 2004. "Properties of Scoring Auctions," CEPR Discussion Papers 4734, C.E.P.R. Discussion Papers.
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  23. Lawrence M. Ausubel & Peter Cramton, 1995. "Demand Reduction and Inefficiency in Multi-Unit Auctions," Papers of Peter Cramton 98wpdr, University of Maryland, Department of Economics - Peter Cramton, revised 22 Jul 2002.
  24. G. Steven Olley & Ariel Pakes, 1992. "The Dynamics of Productivity in the Telecommunications Equipment Industry," NBER Working Papers 3977, National Bureau of Economic Research, Inc.
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  29. Sandra Campo & Emmanuel Guerre & Isabelle Perrigne & Quang Vuong, 2003. "Semiparametric Estimation of First-price Auctions with Risk Averse Bidders," Working Papers 2003-09, Centre de Recherche en Economie et Statistique.
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  31. Patrick Bajari & Lixin Ye, 2001. "Deciding Between Competition and Collusion," Working Papers 01008, Stanford University, Department of Economics.
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  35. Li, Tong & Perrigne, Isabelle & Vuong, Quang, 2000. "Conditionally independent private information in OCS wildcat auctions," Journal of Econometrics, Elsevier, vol. 98(1), pages 129-161, September.
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  38. Mireia Jofre-Bonet & Martin Pesendorfer, 2001. "Estimation of a Dynamic Auction Game," NBER Working Papers 8626, National Bureau of Economic Research, Inc.
  39. Asker, John & Cantillon, Estelle, 2005. "Optimal Procurement When Both Price and Quality Matter," CEPR Discussion Papers 5276, C.E.P.R. Discussion Papers.
  40. Paarsch, Harry J., 1992. "Deciding between the common and private value paradigms in empirical models of auctions," Journal of Econometrics, Elsevier, vol. 51(1-2), pages 191-215.
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  42. Jakub Kastl, 2011. "Discrete Bids and Empirical Inference in Divisible Good Auctions," Review of Economic Studies, Oxford University Press, vol. 78(3), pages 974-1014.
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