IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Procuring Commodities: First Price Sealed Bid or English Auction?

  • Jason Shachat


    (Wang Yanan Institute for Studies in Economics, Xiamen University)

I use laboratory experiments to examine the relative performance of the English auction (EA) and the first price sealed bid auction (FPA) when procuring a commodity. The mean and variance of prices are lower in the FPA than in the EA. Bids and prices in EA agree with game theoretic predictions while they don’t in the FPA. To resolve these deviations found in the FPA, I consider a mixture model with three bidding rules: constant absolute mark-up, constant percentage mark-up, and strategic best response. A dynamic specification is estimated as a hidden Markov model. Initially about three quarters of the subjects are strategic bidders, but over time the number of strategic bidders falls to below sixty-five percent. There is a corresponding growth in those who bid a constant absolute mark-up above realized cost. This model provides an explanation of the dynamics of the mean and variance of price.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
File Function: 2010
Download Restriction: no

Paper provided by Xiamen Unversity, The Wang Yanan Institute for Studies in Economics, Finance and Economics Experimental Laboratory in its series Working Papers with number 0901.

in new window

Length: 31 pages
Date of creation: 08 Feb 2009
Date of revision: 26 Apr 2010
Handle: RePEc:fee:wpaper:0901
Contact details of provider: Phone: 86-592-2180855
Fax: 86-592-2187708
Web page:

More information through EDIRC

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as in new window
  1. Eric Maskin & John Riley, 2000. "Asymmetric Auctions," Review of Economic Studies, Oxford University Press, vol. 67(3), pages 413-438.
  2. Ockenfels, Axel & Selten, Reinhard, 2005. "Impulse balance equilibrium and feedback in first price auctions," Games and Economic Behavior, Elsevier, vol. 51(1), pages 155-170, April.
  3. John R. Graham & Campbell R. Harvey & Shiva Rajgopal, 2004. "The Economic Implications of Corporate Financial Reporting," NBER Working Papers 10550, National Bureau of Economic Research, Inc.
  4. Dennis A. V. Dittrich & Werner Güth & Martin Kocher & Paul Pezanis-Christou, . "Loss aversion and learning to bid," Papers on Strategic Interaction 2005-03, Max Planck Institute of Economics, Strategic Interaction Group.
    • Dennis A. V. Dittrich & Werner Güth & Martin G. Kocher & Paul Pezanis‐Christou, 2012. "Loss Aversion and Learning to Bid," Economica, London School of Economics and Political Science, vol. 79(314), pages 226-257, 04.
  5. Wilfred Amaldoss & Teck-Hua Ho & Aradhna Krishna & Kay-Yut Chen & Preyas Desai & Ganesh Iyer & Sanjay Jain & Noah Lim & John Morgan & Ryan Oprea & Joydeep Srivasatava, 2008. "Experiments on strategic choices and markets," Marketing Letters, Springer, vol. 19(3), pages 417-429, December.
  6. Cantillon, Estelle, 2008. "The effect of bidders' asymmetries on expected revenue in auctions," Games and Economic Behavior, Elsevier, vol. 62(1), pages 1-25, January.
  7. Ernan Haruvy & Peter Popkowski Leszczyc & Octavian Carare & James Cox & Eric Greenleaf & Wolfgang Jank & Sandy Jap & Young-Hoon Park & Michael Rothkopf, 2008. "Competition between auctions," Marketing Letters, Springer, vol. 19(3), pages 431-448, December.
  8. Kagel, J.H. & Levin, D., 1988. "Independent Private Value Auctions: Bidder Behavior In First, Second And Third-Price Auctions With Varying Numbers Of Bidders," Papers 13, Houston - Department of Economics.
  9. Haim Levy, 1992. "Stochastic Dominance and Expected Utility: Survey and Analysis," Management Science, INFORMS, vol. 38(4), pages 555-593, April.
  10. Vincent P. Crawford & Nagore Iriberri, 2005. "Level-k Auctions: Can a Non-Equilibrium Model of Strategic Thinking Explain the Winner's Curse and Overbidding in Private-Value Auctions?," Levine's Bibliography 784828000000000604, UCLA Department of Economics.
  11. Güth, Werner & Ivanova-Stenzel, Radosveta & Wolfstetter, Elmar, 2001. "Bidding behavior in asymmetric auctions: An experimental study," SFB 373 Discussion Papers 2001,15, Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes.
  12. Elena Krasnokutskaya, 2011. "Identification and Estimation of Auction Models with Unobserved Heterogeneity," Review of Economic Studies, Oxford University Press, vol. 78(1), pages 293-327.
  13. Thomas Palfrey, 2002. "Quantal Response Equilibrium and Overbidding in Private Value Auctions," Theory workshop papers 357966000000000089, UCLA Department of Economics.
  14. Chen, Kay-Yut & Plott, Charles R., . "Nonlinear Behavior in Sealed Bid First Price Auctions," Working Papers 774, California Institute of Technology, Division of the Humanities and Social Sciences.
  15. William Vickrey, 1961. "Counterspeculation, Auctions, And Competitive Sealed Tenders," Journal of Finance, American Finance Association, vol. 16(1), pages 8-37, 03.
  16. Palfrey, Thomas R. & Goeree, Jacob & Holt, Charles, 2000. "Quantal Response Equilibrium and Overbidding in Private-value Auctions," Working Papers 1073, California Institute of Technology, Division of the Humanities and Social Sciences.
  17. Sudhindra Seshadri & Kalyan Chatterjee & Gary L. Lilien, 1991. "Multiple Source Procurement Competitions," Marketing Science, INFORMS, vol. 10(3), pages 246-263.
  18. Patrick Bajari & Ali Hortacsu, 2005. "Are Structural Estimates of Auction Models Reasonable? Evidence from Experimental Data," Journal of Political Economy, University of Chicago Press, vol. 113(4), pages 703-741, August.
  19. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
  20. Sam K. Hui & Peter S. Fader & Eric T. Bradlow, 2009. "Path Data in Marketing: An Integrative Framework and Prospectus for Model Building," Marketing Science, INFORMS, vol. 28(2), pages 320-335, 03-04.
  21. Garry F. Barrett & Stephen G. Donald, 2003. "Consistent Tests for Stochastic Dominance," Econometrica, Econometric Society, vol. 71(1), pages 71-104, January.
  22. Oliver Kirchkamp & J. Philipp Reiß, 2008. "Heterogeneous bids in auctions with rational and markdown bidders - Theory and Experiment," Jena Economic Research Papers 2008-066, Friedrich-Schiller-University Jena.
  23. David Lucking-Reiley, 1999. "Using field experiments to test equivalence between auction formats: Magic on the internet," Framed Field Experiments 00183, The Field Experiments Website.
  24. Neugebauer, Tibor & Selten, Reinhard, 2006. "Individual behavior of first-price auctions: The importance of information feedback in computerized experimental markets," Games and Economic Behavior, Elsevier, vol. 54(1), pages 183-204, January.
  25. Utpal M. Dholakia & Itamar Simonson, 2005. "The Effect of Explicit Reference Points on Consumer Choice and Online Bidding Behavior," Marketing Science, INFORMS, vol. 24(2), pages 206-217, October.
  26. Emmanuel Guerre & Isabelle Perrigne & Quang Vuong, 2009. "Nonparametric Identification of Risk Aversion in First-Price Auctions Under Exclusion Restrictions," Econometrica, Econometric Society, vol. 77(4), pages 1193-1227, 07.
  27. Richard Engelbrecht-Wiggans & Elena Katok, 2008. "Regret and Feedback Information in First-Price Sealed-Bid Auctions," Management Science, INFORMS, vol. 54(4), pages 808-819, April.
  28. Emel Filiz-Ozbay & Erkut Y. Ozbay, 2007. "Auctions with Anticipated Regret: Theory and Experiment," American Economic Review, American Economic Association, vol. 97(4), pages 1407-1418, September.
  29. Coppinger, Vicki M & Smith, Vernon L & Titus, Jon A, 1980. "Incentives and Behavior in English, Dutch and Sealed-Bid Auctions," Economic Inquiry, Western Economic Association International, vol. 18(1), pages 1-22, January.
  30. Ching-Hua Chen-Ritzo & Terry P. Harrison & Anthony M. Kwasnica & Douglas J. Thomas, 2005. "Better, Faster, Cheaper: An Experimental Analysis of a Multiattribute Reverse Auction Mechanism with Restricted Information Feedback," Management Science, INFORMS, vol. 51(12), pages 1753-1762, December.
  31. Richard Engelbrecht-Wiggans & Elena Katok, 2007. "Regret in auctions: theory and evidence," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 33(1), pages 81-101, October.
  32. Robert Zeithammer & Christopher Adams, 2010. "The Sealed-Bid Abstraction in Online Auctions," Marketing Science, INFORMS, vol. 29(6), pages 964-987, 11-12.
  33. David C. Parkes & Jayant Kalagnanam, 2005. "Models for Iterative Multiattribute Procurement Auctions," Management Science, INFORMS, vol. 51(3), pages 435-451, March.
  34. 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.
  35. Morgan John & Steiglitz Ken & Reis George, 2003. "The Spite Motive and Equilibrium Behavior in Auctions," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 2(1), pages 1-27, April.
  36. Song Yao & Carl F. Mela, 2008. "Online Auction Demand," Marketing Science, INFORMS, vol. 27(5), pages 861-885, 09-10.
  37. Jennifer Brown & Tanjim Hossain & John Morgan, 2010. "Shrouded Attributes and Information Suppression: Evidence from the Field," The Quarterly Journal of Economics, Oxford University Press, vol. 125(2), pages 859-876.
  38. Oded Netzer & James M. Lattin & V. Srinivasan, 2008. "A Hidden Markov Model of Customer Relationship Dynamics," Marketing Science, INFORMS, vol. 27(2), pages 185-204, 03-04.
  39. Sandy D. Jap & Prasad A. Naik, 2008. "BidAnalyzer: A Method for Estimation and Selection of Dynamic Bidding Models," Marketing Science, INFORMS, vol. 27(6), pages 949-960, 11-12.
  40. Eric T. Bradlow & Young-Hoon Park, 2007. "Bayesian Estimation of Bid Sequences in Internet Auctions Using a Generalized Record-Breaking Model," Marketing Science, INFORMS, vol. 26(2), pages 218-229, 03-04.
  41. Holt, Charles A, Jr, 1980. "Competitive Bidding for Contracts under Alternative Auction Procedures," Journal of Political Economy, University of Chicago Press, vol. 88(3), pages 433-45, June.
  42. Scott Fay, 2004. "Partial-Repeat-Bidding in the Name-Your-Own-Price Channel," Marketing Science, INFORMS, vol. 23(3), pages 407-418, February.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:fee:wpaper:0901. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ashford)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.