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Empirical Models of Auctions

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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.

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File URL: http://cowles.econ.yale.edu/P/cd/d15b/d1562.pdf
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Bibliographic Info

Paper provided by Cowles Foundation for Research in Economics, Yale University in its series Cowles Foundation Discussion Papers with number 1562.

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Length: 48 pages
Date of creation: Mar 2006
Date of revision:
Publication status: Published in Richard Blundell, Whitney Newey, and Torsten Persson, eds., Advances in Economics and Econometrics, Theory and Applications: Ninth World Congress, Vol. II, Cambridge University Press, 2006, pp. 1-45
Handle: RePEc:cwl:cwldpp:1562

Note: CFP 1229.
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Postal: Cowles Foundation, Yale University, Box 208281, New Haven, CT 06520-8281 USA

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Keywords: Auctions; Identification; Estimation; Testing;

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References

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Citations

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Cited by:
  1. Charles A. Holt & William Shobe & Dallas Burtraw & Karen Palmer & Jacob K. Goeree, 2007. "Auction Design for Selling CO2 Emission Allowances Under the Regional Greenhouse Gas Initiative," Reports 2007-03, Center for Economic and Policy Studies.
  2. Liran Einav & Jonathan Levin, 2010. "Empirical Industrial Organization: A Progress Report," Journal of Economic Perspectives, American Economic Association, vol. 24(2), pages 145-62, Spring.
  3. Jehiel, Philippe & Moldovanu, Benny, 2006. "Allocative and Informational Externalities in Auctions and Related Mechanisms," CEPR Discussion Papers 5558, C.E.P.R. Discussion Papers.
  4. Ivaldi, Marc & Motis, Jrissy, 2007. "Mergers as Auctions," IDEI Working Papers 461, Institut d'Économie Industrielle (IDEI), Toulouse.
  5. Bruno Bosco & Lucia Parisio & Matteo Pelagatti, 2010. "Estimating Marginal Costs and Market Power in the Italian Electricity Auctions," Working Papers 20100201, Università degli Studi di Milano-Bicocca, Dipartimento di Statistica.
  6. Jehiel, Philippe, 2011. "Manipulative auction design," Theoretical Economics, Econometric Society, vol. 6(2), May.
  7. Blancas, Luis & Chioda, Laura & Cordella, Tito & Oliveira, Alexandre & Vardy, Felix, 2011. "Do procurement rules impact infrastructure investment efficiency ? an empirical analysis of inversao das fases in Sao Paulo state," Policy Research Working Paper Series 5528, The World Bank.
  8. Song, Zirui & Landrum, Mary Beth & Chernew, Michael E., 2013. "Competitive bidding in Medicare Advantage: Effect of benchmark changes on plan bids," Journal of Health Economics, Elsevier, vol. 32(6), pages 1301-1312.
  9. Gian Luigi Albano & Federico Dini & Roberto Zampino, 2008. "Bidding for Complex Projects: Evidence From the Acquisitions of IT Services," Working Papers 2008.86, Fondazione Eni Enrico Mattei.
  10. Veronika Grimm, 2007. "Paarsch, H. J., and Hong, H.: An Introduction to the Structural Econometrics of Auction Data," Journal of Economics, Springer, vol. 92(2), pages 205-208, October.
  11. Bierens, Herman J. & Song, Hosin, 2012. "Semi-nonparametric estimation of independently and identically repeated first-price auctions via an integrated simulated moments method," Journal of Econometrics, Elsevier, vol. 168(1), pages 108-119.

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