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An Experimental Study of Information Revelation Policies in Sequential Auctions

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  • Timothy N. Cason

    (Krannert School of Management, Purdue University, West Lafayette, Indiana 47907)

  • Karthik N. Kannan

    (Krannert School of Management, Purdue University, West Lafayette, Indiana 47907)

  • Ralph Siebert

    (Krannert School of Management, Purdue University, West Lafayette, Indiana 47907)

Abstract

Theoretical models of information asymmetry have identified a trade-off between the desire to learn and the desire to prevent an opponent from learning private information. This paper reports a laboratory experiment that investigates if actual bidders account for this trade-off, using a sequential procurement auction with private cost information and varying information revelation policies. Specifically, the Complete Information Revelation Policy, where all submitted bids are revealed between auctions, is compared to the Incomplete Information Revelation Policy, where only the winning bid is revealed. The experimental results are largely consistent with the theoretical predictions. For example, bidders pool with other types to prevent an opponent from learning significantly more often under a Complete Information Revelation Policy. Also as predicted, the procurer pays less when employing an Incomplete Information Revelation Policy only when the market is highly competitive. Bids are usually more aggressive than the risk-neutral quantitative prediction, which is broadly consistent with risk aversion. This paper was accepted by Teck Ho, decision analysis.

Suggested Citation

  • Timothy N. Cason & Karthik N. Kannan & Ralph Siebert, 2011. "An Experimental Study of Information Revelation Policies in Sequential Auctions," Management Science, INFORMS, vol. 57(4), pages 667-688, April.
  • Handle: RePEc:inm:ormnsc:v:57:y:2011:i:4:p:667-688
    DOI: 10.1287/mnsc.1100.1301
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    1. Patrick Bajari, 2001. "Comparing competition and collusion: a numerical approach," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 18(1), pages 187-205.
    2. Dufwenberg, Martin & Gneezy, Uri, 2000. "Price competition and market concentration: an experimental study," International Journal of Industrial Organization, Elsevier, vol. 18(1), pages 7-22, January.
    3. Ying-Ju Chen & Gustavo Vulcano, 2009. "Effects of Information Disclosure Under First- and Second-Price Auctions in a Supply Chain Setting," Manufacturing & Service Operations Management, INFORMS, vol. 11(2), pages 299-316, September.
    4. Goeree, Jacob K., 2003. "Bidding for the future: signaling in auctions with an aftermarket," Journal of Economic Theory, Elsevier, vol. 108(2), pages 345-364, February.
    5. Eric Maskin & John Riley, 2000. "Equilibrium in Sealed High Bid Auctions," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 67(3), pages 439-454.
    6. Thomas D. Jeitschko & Elmar Wolfstetter, 2002. "Scale Economies and the Dynamics of Recurring Auctions," Economic Inquiry, Western Economic Association International, vol. 40(3), pages 403-414, July.
    7. Huck, Steffen & Normann, Hans-Theo & Oechssler, Jorg, 2004. "Two are few and four are many: number effects in experimental oligopolies," Journal of Economic Behavior & Organization, Elsevier, vol. 53(4), pages 435-446, April.
    8. Miguel A. Costa-Gomes & Georg Weizsäcker, 2008. "Stated Beliefs and Play in Normal-Form Games," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 75(3), pages 729-762.
    9. Ashenfelter, Orley, 1989. "How Auctions Work for Wine and Art," Journal of Economic Perspectives, American Economic Association, vol. 3(3), pages 23-36, Summer.
    10. Das Varma, Gopal, 2003. "Bidding for a process innovation under alternative modes of competition," International Journal of Industrial Organization, Elsevier, vol. 21(1), pages 15-37, January.
    11. 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.
    12. Goeree, Jacob K. & Holt, Charles A. & Palfrey, Thomas R., 2002. "Quantal Response Equilibrium and Overbidding in Private-Value Auctions," Journal of Economic Theory, Elsevier, vol. 104(1), pages 247-272, May.
    13. Sheremeta, Roman M., 2010. "Experimental comparison of multi-stage and one-stage contests," Games and Economic Behavior, Elsevier, vol. 68(2), pages 731-747, March.
    14. Neugebauer, Tibor & Pezanis-Christou, Paul, 2007. "Bidding behavior at sequential first-price auctions with(out) supply uncertainty: A laboratory analysis," Journal of Economic Behavior & Organization, Elsevier, vol. 63(1), pages 55-72, May.
    15. Ashish Arora & Amy Greenwald & Karthik Kannan & Ramayya Krishnan, 2007. "Effects of Information-Revelation Policies Under Market-Structure Uncertainty," Management Science, INFORMS, vol. 53(8), pages 1234-1248, August.
    16. Harrison, Glenn W, 1989. "Theory and Misbehavior of First-Price Auctions," American Economic Review, American Economic Association, vol. 79(4), pages 749-762, September.
    17. Peter P. Wakker, 2008. "Explaining the characteristics of the power (CRRA) utility family," Health Economics, John Wiley & Sons, Ltd., vol. 17(12), pages 1329-1344, December.
    18. Stephen G. Donald & Harry J. Paarsch & Jacques Robert, 2006. "An empirical model of the multi‐unit, sequential, clock auction," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1221-1247, December.
    19. Donald B. Hausch, 1986. "Multi-Object Auctions: Sequential vs. Simultaneous Sales," Management Science, INFORMS, vol. 32(12), pages 1599-1610, December.
    20. Matthews, Steven, 1987. "Comparing Auctions for Risk Averse Buyers: A Buyer's Point of View," Econometrica, Econometric Society, vol. 55(3), pages 633-646, May.
    21. Ding, Wei & Jeitschko, Thomas D. & Wolfstetter, Elmar G., 2010. "Signal jamming in a sequential auction," Economics Letters, Elsevier, vol. 108(1), pages 58-61, July.
    22. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    23. Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
    24. Russell Davidson & James MacKinnon, 2000. "Bootstrap tests: how many bootstraps?," Econometric Reviews, Taylor & Francis Journals, vol. 19(1), pages 55-68.
    25. Engelbrecht-Wiggans, Richard, 1994. "Sequential auctions of stochastically equivalent objects," Economics Letters, Elsevier, vol. 44(1-2), pages 87-90.
    26. Andreoni, James & Che, Yeon-Koo & Kim, Jinwoo, 2007. "Asymmetric information about rivals' types in standard auctions: An experiment," Games and Economic Behavior, Elsevier, vol. 59(2), pages 240-259, May.
    27. Maskin, Eric S & Riley, John G, 1984. "Optimal Auctions with Risk Averse Buyers," Econometrica, Econometric Society, vol. 52(6), pages 1473-1518, November.
    28. Werner G¸th & Radosveta Ivanova-Stenzel & Manfred K–nigstein & Martin Strobel, 2003. "Learning to bid - an experimental study of bid function adjustments in auctions and fair division games," Economic Journal, Royal Economic Society, vol. 113(487), pages 477-494, April.
    29. De Silva, Dakshina G. & Dunne, Timothy & Kankanamge, Anuruddha & Kosmopoulou, Georgia, 2008. "The impact of public information on bidding in highway procurement auctions," European Economic Review, Elsevier, vol. 52(1), pages 150-181, January.
    30. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    31. Ashenfelter, Orley & Genesove, David, 1992. "Testing for Price Anomalies in Real-Estate Auctions," American Economic Review, American Economic Association, vol. 82(2), pages 501-505, May.
    32. Krishnan S. Anand & Manu Goyal, 2009. "Strategic Information Management Under Leakage in a Supply Chain," Management Science, INFORMS, vol. 55(3), pages 438-452, March.
    33. Val E. Lambson & Norman K Thurston, 2006. "Sequential auctions: theory and evidence from the Seattle Fur Exchange," RAND Journal of Economics, RAND Corporation, vol. 37(1), pages 70-80, March.
    34. Milgrom, Paul R & Weber, Robert J, 1982. "A Theory of Auctions and Competitive Bidding," Econometrica, Econometric Society, vol. 50(5), pages 1089-1122, September.
    35. Yaw Nyarko & Andrew Schotter, 2002. "An Experimental Study of Belief Learning Using Elicited Beliefs," Econometrica, Econometric Society, vol. 70(3), pages 971-1005, May.
    36. Fernando Branco, 1997. "The Design of Multidimensional Auctions," RAND Journal of Economics, The RAND Corporation, vol. 28(1), pages 63-81, Spring.
    37. 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.
    38. Val Lambson & Norman K Thurston, 2006. "Sequential Auctions: Theory and Evidence from the Seattle Fur Exchange," RAND Journal of Economics, The RAND Corporation, vol. 37(1), pages 70-80, Spring.
    39. Maskin, Eric S & Riley, Joan G, 1985. "Auction Theory with Private Values," American Economic Review, American Economic Association, vol. 75(2), pages 150-155, May.
    40. Dufwenberg, Martin & Gneezy, Uri, 2002. "Information disclosure in auctions: an experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 48(4), pages 431-444, August.
    41. Charles J. Thomas, 2010. "Information Revelation And Buyer Profits In Repeated Procurement Competition," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 79-105, March.
    42. Reinhard Selten, 1998. "Axiomatic Characterization of the Quadratic Scoring Rule," Experimental Economics, Springer;Economic Science Association, vol. 1(1), pages 43-61, June.
    43. Cox, James C & Smith, Vernon L & Walker, James M, 1988. "Theory and Individual Behavior of First-Price Auctions," Journal of Risk and Uncertainty, Springer, vol. 1(1), pages 61-99, March.
    44. Patrick Bajari & Lixin Ye, 2001. "Competition Versus Collusion in Procurement Auctions: Identification and Testing," Working Papers 01001, Stanford University, Department of Economics.
    45. Thomas D. Jeitschko, 1998. "Learning in Sequential Auctions," Southern Economic Journal, John Wiley & Sons, vol. 65(1), pages 98-112, July.
    46. Ravi Bapna & Chrysanthos Dellarocas & Sarah Rice, 2010. "Vertically Differentiated Simultaneous Vickrey Auctions: Theory and Experimental Evidence," Management Science, INFORMS, vol. 56(7), pages 1074-1092, July.
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    3. Karthik Kannan & Vandith Pamuru & Yaroslav Rosokha, 2023. "Analyzing Frictions in Generalized Second-Price Auction Markets," Information Systems Research, INFORMS, vol. 34(4), pages 1437-1454, December.
    4. Yili Hong & Chong (Alex) Wang & Paul A. Pavlou, 2016. "Comparing Open and Sealed Bid Auctions: Evidence from Online Labor Markets," Information Systems Research, INFORMS, vol. 27(1), pages 49-69, March.
    5. Naoko Nishimura & Timothy N. Cason & Tatsuyoshi Saijo & Yoshikazu Ikeda, 2011. "Spite and Reciprocity in Auctions," Games, MDPI, vol. 2(3), pages 1-47, September.
    6. Bos, Olivier & Gomez-Martinez, Francisco & Onderstal, Sander & Truyts, Tom, 2021. "Signalling in auctions: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 187(C), pages 448-469.
    7. Corazzini, Luca & Galavotti, Stefano & Valbonesi, Paola, 2019. "An experimental study on sequential auctions with privately known capacities," Games and Economic Behavior, Elsevier, vol. 117(C), pages 289-315.
    8. Ingebretsen Carlson, Jim & Wu, Tingting, 2022. "Shill bidding and information in eBay auctions: A Laboratory study," Journal of Economic Behavior & Organization, Elsevier, vol. 202(C), pages 341-360.
    9. Fugger, Nicolas & Gretschko, Vitali & Pollrich, Martin, 2019. "Sequential procurement with limited commitment," ZEW Discussion Papers 19-030, ZEW - Leibniz Centre for European Economic Research.
    10. Yixin Lu & Alok Gupta & Wolfgang Ketter & Eric van Heck, 2019. "Information Transparency in Business-to-Business Auction Markets: The Role of Winner Identity Disclosure," Management Science, INFORMS, vol. 65(9), pages 4261-4279, September.
    11. Özalp Özer & Yanchong Zheng & Yufei Ren, 2014. "Trust, Trustworthiness, and Information Sharing in Supply Chains Bridging China and the United States," Management Science, INFORMS, vol. 60(10), pages 2435-2460, October.
    12. Dirk Bergemann & Johannes Horner, 2010. "Should Auctions Be Transparent?," Levine's Working Paper Archive 661465000000000128, David K. Levine.
    13. Matthew J. Hashim & Karthik N. Kannan & Sandra Maximiano, 2017. "Information Feedback, Targeting, and Coordination: An Experimental Study," Information Systems Research, INFORMS, vol. 28(2), pages 289-308, June.
    14. Martin Bichler & Vladimir Fux & Jacob Goeree, 2018. "A Matter of Equality: Linear Pricing in Combinatorial Exchanges," Information Systems Research, INFORMS, vol. 29(4), pages 1024-1043, December.
    15. Ingebretsen Carlson, Jim & Wu, Tingting, 2018. "Shill Bidding and Information in Sequential Auctions: A Laboratory Study," Working Papers 2018:18, Lund University, Department of Economics.
    16. Ninoslav Malekovic & Lazaros Goutas & Juliana Sutanto & Dennis Galletta, 2020. "Regret under different auction designs: the case of English and Dutch auctions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 30(1), pages 151-161, March.
    17. Kevin Leyton-Brown & Paul Milgrom & Neil Newman & Ilya Segal, 2023. "Artificial Intelligence and Market Design: Lessons Learned from Radio Spectrum Reallocation," NBER Chapters, in: New Directions in Market Design, National Bureau of Economic Research, Inc.
    18. Lu, Y. & Gupta, A. & Ketter, W. & van Heck, H.W.G.M., 2017. "Information Transparency in B2B Auction Markets: The Role of Winner Identity Disclosure," ERIM Report Series Research in Management ERS-2017-006-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    19. Daniel Montanera & Abhay Nath Mishra & T. S. Raghu, 2022. "Mitigating Risk Selection in Healthcare Entitlement Programs: A Beneficiary-Level Competitive Bidding Approach," Information Systems Research, INFORMS, vol. 33(4), pages 1221-1247, December.
    20. Wolfgang Ketter & Karsten Schroer & Konstantina Valogianni, 2023. "Information Systems Research for Smart Sustainable Mobility: A Framework and Call for Action," Information Systems Research, INFORMS, vol. 34(3), pages 1045-1065, September.

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    More about this item

    Keywords

    complete and incomplete information revelation policies; laboratory study; procurement auction; multistage game;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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