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A computational framework for analyzing dynamic auctions: The market impact of information sharing

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  • John Asker
  • Chaim Fershtman
  • Jihye Jeon
  • Ariel Pakes

Abstract

This article develops a computational framework to analyze dynamic auctions and uses it to investigate the impact of information sharing among bidders. We show that allowing for the dynamics implicit in many auction environments enables the emergence of equilibrium states that can only be reached when firms are responding to dynamic incentives. The impact of information sharing depends on the extent of dynamics and provides support for the claim that information sharing, even of strategically important data, need not be welfare reducing. Our methodological contribution is to show how to adapt the experience‐based equilibrium concept to a dynamic auction environment and to provide an implementable boundary‐consistency condition that mitigates the extent of multiple equilibria.

Suggested Citation

  • John Asker & Chaim Fershtman & Jihye Jeon & Ariel Pakes, 2020. "A computational framework for analyzing dynamic auctions: The market impact of information sharing," RAND Journal of Economics, RAND Corporation, vol. 51(3), pages 805-839, September.
    • Handle: RePEc:bla:randje:v:51:y:2020:i:3:p:805-839
    DOI: 10.1111/1756-2171.12341
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    1. Fudenberg, Drew & Levine, David, 1998. "Learning in games," European Economic Review, Elsevier, vol. 42(3-5), pages 631-639, May.
    2. Wesley Blundell & Gautam Gowrisankaran & Ashley Langer, 2020. "Escalation of Scrutiny: The Gains from Dynamic Enforcement of Environmental Regulations," American Economic Review, American Economic Association, vol. 110(8), pages 2558-2585, August.
    3. Joachim R. Groeger, 2014. "A Study Of Participation In Dynamic Auctions," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 55, pages 1129-1154, November.
    4. Alison J. Kirby, 1988. "Trade Associations as Information Exchange Mechanisms," RAND Journal of Economics, The RAND Corporation, vol. 19(1), pages 138-146, Spring.
    5. Mireia Jofre-Bonet & Martin Pesendorfer, 2003. "Estimation of a Dynamic Auction Game," Econometrica, Econometric Society, vol. 71(5), pages 1443-1489, September.
    6. Ben Mermelstein & Volker Nocke & Mark A. Satterthwaite & Michael D. Whinston, 2020. "Internal versus External Growth in Industries with Scale Economies: A Computational Model of Optimal Merger Policy," Journal of Political Economy, University of Chicago Press, vol. 128(1), pages 301-341.
    7. Patrick Bajari & Lixin Ye, 2003. "Deciding Between Competition and Collusion," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 971-989, November.
    8. Richard N. Clarke, 1983. "Collusion and the Incentives for Information Sharing," Bell Journal of Economics, The RAND Corporation, vol. 14(2), pages 383-394, Autumn.
    9. David Besanko & Ulrich Doraszelski & Yaroslav Kryukov, 2014. "The Economics of Predation: What Drives Pricing When There Is Learning-by-Doing?," American Economic Review, American Economic Association, vol. 104(3), pages 868-897, March.
    10. Przemyslaw Jeziorski & Elena Krasnokutskaya, 2016. "Dynamic auction environment with subcontracting," RAND Journal of Economics, RAND Corporation, vol. 47(4), pages 751-791, November.
    11. Porter, Robert H & Zona, J Douglas, 1993. "Detection of Bid Rigging in Procurement Auctions," Journal of Political Economy, University of Chicago Press, vol. 101(3), pages 518-538, June.
    12. Susan Athey & Jonathan Levin & Enrique Seira, 2011. "Comparing open and Sealed Bid Auctions: Evidence from Timber Auctions," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 207-257.
    13. Chaim Fershtman & Ariel Pakes, 2012. "Dynamic Games with Asymmetric Information: A Framework for Empirical Work," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(4), pages 1611-1661.
    14. Baldwin, Laura H & Marshall, Robert C & Richard, Jean-Francois, 1997. "Bidder Collusion at Forest Service Timber Sales," Journal of Political Economy, University of Chicago Press, vol. 105(4), pages 657-699, August.
    15. Richard Ericson & Ariel Pakes, 1995. "Markov-Perfect Industry Dynamics: A Framework for Empirical Work," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 62(1), pages 53-82.
    16. John Asker, 2010. "A Study of the Internal Organization of a Bidding Cartel," American Economic Review, American Economic Association, vol. 100(3), pages 724-762, June.
    17. Martin Pesendorfer & Philipp Schmidt-Dengler, 2003. "Identification and Estimation of Dynamic Games," NBER Working Papers 9726, National Bureau of Economic Research, Inc.
    18. Alessandro Bonatti & Gonzalo Cisternas & Juuso Toikka, 2017. "Dynamic Oligopoly with Incomplete Information," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 84(2), pages 503-546.
    19. Viplav Saini, 2012. "Endogenous asymmetry in a dynamic procurement auction," RAND Journal of Economics, RAND Corporation, vol. 43(4), pages 726-760, December.
    20. Maura P. Doyle & Christopher M. Snyder, 1999. "Information Sharing and Competition in the Motor Vehicle Industry," Journal of Political Economy, University of Chicago Press, vol. 107(6), pages 1326-1364, December.
    21. Mailath, George J. & Zemsky, Peter, 1991. "Collusion in second price auctions with heterogeneous bidders," Games and Economic Behavior, Elsevier, vol. 3(4), pages 467-486, November.
    22. Graham, Daniel A & Marshall, Robert C, 1987. "Collusive Bidder Behavior at Single-Object Second-Price and English Auctions," Journal of Political Economy, University of Chicago Press, vol. 95(6), pages 1217-1239, December.
    23. Robert H. Porter & J. Douglas Zona, 1999. "Ohio School Milk Markets: An Analysis of Bidding," RAND Journal of Economics, The RAND Corporation, vol. 30(2), pages 263-288, Summer.
    24. Drew Fudenberg & David K. Levine, 1998. "The Theory of Learning in Games," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061945, December.
    25. Carl Shapiro, 1986. "Exchange of Cost Information in Oligopoly," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(3), pages 433-446.
    26. Maskin, Eric & Tirole, Jean, 2001. "Markov Perfect Equilibrium: I. Observable Actions," Journal of Economic Theory, Elsevier, vol. 100(2), pages 191-219, October.
    27. Aoyagi, Masaki, 2003. "Bid rotation and collusion in repeated auctions," Journal of Economic Theory, Elsevier, vol. 112(1), pages 79-105, September.
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    Cited by:

    1. John Asker & Chaim Fershtman & Ariel Pakes, 2021. "Artificial Intelligence and Pricing: The Impact of Algorithm Design," NBER Working Papers 28535, National Bureau of Economic Research, Inc.
    2. Taisuke Otsu & Martin Pesendorfer, 2021. "Equilibrium multiplicity in dynamic games: testing and estimation," STICERD - Econometrics Paper Series 618, Suntory and Toyota International Centres for Economics and Related Disciplines, LSE.
    3. Choe, Chongwoo & Matsushima, Noriaki & Tremblay, Mark J., 2022. "Behavior-based personalized pricing: When firms can share customer information," International Journal of Industrial Organization, Elsevier, vol. 82(C).
    4. Taisuke Otsu & Martin Pesendorfer, 2023. "Equilibrium multiplicity in dynamic games: Testing and estimation," The Econometrics Journal, Royal Economic Society, vol. 26(1), pages 26-42.

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