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Naturally Occurring Markets and Exogenous Laboratory Experiments: A Case Study of the Winner's Curse

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  • GlennW. Harrison
  • JohnA. List

Abstract

We examine the relevance of experimental findings from laboratory settings that abstract from the field context of the task that theory purports to explain. Using common value auction theory as our guide, we identify naturally occurring settings in which one can test the theory. Experienced agents bidding in familiar roles do not fall prey to the winner's curse. Yet, experienced agents fall prey to the winner's curse when bidding in an unfamiliar role. We conclude that the theory predicts field behaviour well when one is able to identify naturally occurring field counterparts to the key theoretical conditions. Copyright � 2008 The Author(s).

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File URL: http://www.blackwell-synergy.com/doi/abs/10.1111/j.1468-0297.2008.02144.x
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Bibliographic Info

Article provided by Royal Economic Society in its journal The Economic Journal.

Volume (Year): 118 (2008)
Issue (Month): 528 (04)
Pages: 822-843

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Handle: RePEc:ecj:econjl:v:118:y:2008:i:528:p:822-843

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References

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  1. Plott, Charles R. & Sunder, Shyam., . "Efficiency of Experimental Security Markets with Insider Information: An Application of Rational Expectations Models," Working Papers 331, California Institute of Technology, Division of the Humanities and Social Sciences.
  2. John List & David Reiley, 2008. "Field experiments," Artefactual Field Experiments 00091, The Field Experiments Website.
  3. Engelbrecht-Wiggans, Richard & Milgrom, Paul R. & Weber, Robert J., 1983. "Competitive bidding and proprietary information," Journal of Mathematical Economics, Elsevier, vol. 11(2), pages 161-169, April.
  4. Laskowski, Michael C. & Slonim, Robert L., 1999. "An Asymptotic Solution for Sealed Bid Common-Value Auctions with Bidders Having Asymmetric Information," Games and Economic Behavior, Elsevier, vol. 28(2), pages 238-255, August.
  5. Levin, Dan & Kagel, John H & Richard, Jean-Francois, 1996. "Revenue Effects and Information Processing in English Common Value Auctions," American Economic Review, American Economic Association, vol. 86(3), pages 442-60, June.
  6. Bohm, Peter & Lind, Hans, 1993. "Preference reversal, real-world lotteries, and lottery-interested subjects," Journal of Economic Behavior & Organization, Elsevier, vol. 22(3), pages 327-348, December.
  7. Paul Milgrom & Robert J. Weber, 1981. "A Theory of Auctions and Competitive Bidding," Discussion Papers 447R, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
  8. John H. Kagel & Dan Levin, 1999. "Common Value Auctions with Insider Information," Econometrica, Econometric Society, vol. 67(5), pages 1219-1238, September.
  9. Sarah Lichtenstein & Paul Slovic, 1973. "Response-induced reversals of preference in gambling: An extended replication in las vegas," Framed Field Experiments 00169, The Field Experiments Website.
  10. Douglas Dyer & John Kagel, 1996. "Bidding in common value auctions: How the commercial construction industry corrects for the winner's curse," Framed Field Experiments 00144, The Field Experiments Website.
  11. Harrison, Glenn W, 1990. "Risk Attitudes in First-Price Auction Experiments: A Bayesian Analysis," The Review of Economics and Statistics, MIT Press, vol. 72(3), pages 541-46, August.
  12. John H. Kagel & Colin M. Campbell & Dan Levin, 1999. "The Winner's Curse and Public Information in Common Value Auctions: Reply," American Economic Review, American Economic Association, vol. 89(1), pages 325-334, March.
  13. Peter Bohm & Hans Lind, 1993. "Preference reversal, real-world lotteries, and lottery-interested subjects," Framed Field Experiments 00131, The Field Experiments Website.
  14. John List, 2001. "Do explicit warnings eliminate the hypothetical bias in elicitation procedures? Evidence from field auctions for sportscards," Framed Field Experiments 00163, The Field Experiments Website.
  15. Dyer, Douglas & Kagel, John H & Levin, Dan, 1989. "A Comparison of Naive and Experienced Bidders in Common Value Offer Auctions: A Laboratory Analysis," Economic Journal, Royal Economic Society, vol. 99(394), pages 108-15, March.
  16. Kagel, John H & Harstad, Ronald M & Levin, Dan, 1987. "Information Impact and Allocation Rules in Auctions with Affiliated Private Values: A Laboratory Study," Econometrica, Econometric Society, vol. 55(6), pages 1275-1304, November.
  17. Hendricks, Kenneth & Porter, Robert H, 1988. "An Empirical Study of an Auction with Asymmetric Information," American Economic Review, American Economic Association, vol. 78(5), pages 865-83, December.
  18. Friedman, Daniel & Harrison, Glenn W & Salmon, Jon W, 1984. "The Informational Efficiency of Experimental Asset Markets," Journal of Political Economy, University of Chicago Press, vol. 92(3), pages 349-408, June.
  19. Robert B. Wilson, 1967. "Competitive Bidding with Asymmetric Information," Management Science, INFORMS, vol. 13(11), pages 816-820, July.
  20. David Lucking-Reiley & John A. List, 2000. "Demand Reduction in Multiunit Auctions: Evidence from a Sportscard Field Experiment," American Economic Review, American Economic Association, vol. 90(4), pages 961-972, September.
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Citations

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Cited by:
  1. Omar Al-Ubaydli & Peter Boettke, 2011. "Markets as Economizers of Information: Field Experimental Examination of the "Hayek Hypothesis"," Working Papers 1025, George Mason University, Interdisciplinary Center for Economic Science.
  2. Cunningham, Thomas, 2013. "Biases and Implicit Knowledge," MPRA Paper 50292, University Library of Munich, Germany.
  3. Belot, Michèle & Francesconi, Marco, 2007. "Can anyone be 'the' one? Field evidence on dating behavior," ISER Working Paper Series 2007-17, Institute for Social and Economic Research.
  4. Vivi Alatas & Lisa Cameron & Ananish Chaudhuri & Nisvan Erkal & Lata Gangadharan, 2009. "Subject pool effects in a corruption experiment: A comparison of Indonesian public servants and Indonesian students," Experimental Economics, Springer, vol. 12(1), pages 113-132, March.
  5. John Dickhaut & Radhika Lunawat & Kira Pronin & Jack Stecher, 2011. "Decision making and trade without probabilities," Economic Theory, Springer, vol. 48(2), pages 275-288, October.
  6. Fiore, Stephen M. & Harrison, Glenn W. & Hughes, Charles E. & Rutstrm, E. Elisabet, 2009. "Virtual experiments and environmental policy," Journal of Environmental Economics and Management, Elsevier, vol. 57(1), pages 65-86, January.
  7. Steven D. Levitt & John A. List & David H. Reiley, Jr., 2009. "What Happens in the Field Stays in the Field: Exploring Whether Professionals Play Minimax in Laboratory Experiments," NBER Working Papers 15609, National Bureau of Economic Research, Inc.
  8. Lacetera, Nicola & Macis, Mario, 2008. "Motivating Altruism: A Field Study," IZA Discussion Papers 3770, Institute for the Study of Labor (IZA).
  9. Glenn Harrison & John List, 2004. "Field experiments," Artefactual Field Experiments 00058, The Field Experiments Website.
  10. Jan Hanousek & Evzen Kocenda, 2005. "Learning by Bidding: Evidence from a Large-Scale Natural Experiment," CERGE-EI Working Papers wp247, The Center for Economic Research and Graduate Education - Economic Institute, Prague.
  11. François Cochard & Anne Rozan, 2010. "Taxe ambiante : un outil adapté à la lutte contre les coulées de boue ? Une étude expérimentale," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 91(3), pages 296-326.
  12. Marco Francesconi & Mich�le Belot, 2011. "Dating Preferences and Meeting Opportunities in Mate Choice Decisions," Economics Discussion Papers 702, University of Essex, Department of Economics.
  13. Arthur Zillante, 2005. "Survival in a Declining Industry: The Case of Baseball Cards," Industrial Organization 0505004, EconWPA.
  14. Steven Levitt & John List & David Reiley, 2010. "What happens in the field stays in the field: Professionals do not play minimax in laboratory experiments," Artefactual Field Experiments 00080, The Field Experiments Website.
  15. Brice Corgnet & Roberto Hernán-González & Stephen Rassenti, 2011. "Real Effort, Real Leisure and Real-time Supervision: Incentives and Peer Pressure in Virtual Organizations," Working Papers 11-05, Chapman University, Economic Science Institute.

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