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Information Variability Impacts in Auctions

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Abstract

A wide variety of auction models exhibit close relationships between the winner's expected profit and the expected difference between the highest and second-highest order statistics of bidders' information, and between expected revenue and the second-highest order statistic of bidders' expected asset values. We use stochastic orderings to see when greater environmental variability of bidders' information enhances expected profit and expected revenue.

Suggested Citation

  • Ronald M. Harstad & Michael H. Rothkopf & Justin Jia, 2009. "Information Variability Impacts in Auctions," Working Papers 0908, Department of Economics, University of Missouri.
  • Handle: RePEc:umc:wpaper:0908
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    File URL: https://economics.missouri.edu/working-papers/2009/wp0908_harstad.pdf
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    References listed on IDEAS

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    1. Mark Bagnoli & Ted Bergstrom, 2005. "Log-concave probability and its applications," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 26(2), pages 445-469, August.
    2. Bartoszewicz, Jaroslaw, 1986. "Dispersive ordering and the total time on test transformation," Statistics & Probability Letters, Elsevier, vol. 4(6), pages 285-288, October.
    3. Vlad Mares & Ronald Harstad, 2007. "Ex-post full surplus extraction, straightforwardly," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 32(2), pages 399-410, August.
    4. Jacob K. Goeree & Theo Offerman, 2003. "Competitive Bidding in Auctions with Private and Common Values," Economic Journal, Royal Economic Society, vol. 113(489), pages 598-613, July.
    5. Dirk Bergemann & Juuso Valimaki, 2002. "Information Acquisition and Efficient Mechanism Design," Econometrica, Econometric Society, vol. 70(3), pages 1007-1033, May.
    6. Jeroen M. Swinkels & Wolfgang Pesendorfer, 2000. "Efficiency and Information Aggregation in Auctions," American Economic Review, American Economic Association, vol. 90(3), pages 499-525, June.
    7. Roger B. Myerson, 1981. "Optimal Auction Design," Mathematics of Operations Research, INFORMS, vol. 6(1), pages 58-73, February.
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    Cited by:

    1. Schweizer, Nikolaus & Szech, Nora, 2015. "Revenues and welfare in auctions with information release," Discussion Papers, Research Unit: Economics of Change SP II 2015-301, Social Science Research Center Berlin (WZB).
    2. repec:eee:jetheo:v:170:y:2017:i:c:p:86-111 is not listed on IDEAS
    3. Schweizer, Nikolaus & Szech, Nora, 2015. "Revenues and welfare in auctions with information release," Working Paper Series in Economics 67, Karlsruhe Institute of Technology (KIT), Department of Economics and Business Engineering.
    4. Joaquín Coleff & Daniel Garcia, 2017. "Information Provision in Procurement Auctions," Journal of Public Economic Theory, Association for Public Economic Theory, vol. 19(2), pages 426-444, April.
    5. Szech, Nora & Schweizer, Nikolaus, 2015. "Revenues and Welfare in Auctions with Information Release," Annual Conference 2015 (Muenster): Economic Development - Theory and Policy 113041, Verein für Socialpolitik / German Economic Association.
    6. Nikolaus Schweizer & Nora Szech, 2015. "Revenues and Welfare in Auctions with Information Release," CESifo Working Paper Series 5501, CESifo Group Munich.

    More about this item

    Keywords

    affiliated-values auctions; auction revenue; number of bidders; increased competition; endegenous bidder participation;

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

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