IDEAS home Printed from https://ideas.repec.org/p/net/wpaper/1112.html
   My bibliography  Save this paper

Information Aggregation and Innovation in Market Design

Author

Abstract

The literature on information aggregation predicts that market growth unambiguously reduces uncertainty about the value of traded goods. The results were developed within the classical model, which assumes that traders’ values for the exchanged good are determined by fundamental (common) shocks. At the same time, design innovation in contemporaneous markets seems to exploit demand interdependence among agents with similar tastes or common information sharing (e.g., Facebook ads, the practice of customer targeting). This paper demonstrates that with heterogeneous interdependence among agents’ values or noise in signals about values, opportunities to innovate in smaller or less connected (in the network-theoretic sense) markets may dominate those in larger or better connected markets.

Suggested Citation

  • Mariann Ollar & Marzena Rostek, 2011. "Information Aggregation and Innovation in Market Design," Working Papers 11-12, NET Institute.
  • Handle: RePEc:net:wpaper:1112
    as

    Download full text from publisher

    File URL: http://www.netinst.org/Ollar_Rostek_11_12.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. repec:cup:cbooks:9780511771576 is not listed on IDEAS
    2. Laura L. Veldkamp, 2011. "Information Choice in Macroeconomics and Finance," Economics Books, Princeton University Press, edition 1, number 9621.
    3. Marzena Rostek & Marek Weretka, 2012. "Price Inference in Small Markets," Econometrica, Econometric Society, vol. 80(2), pages 687-711, March.
    4. Xavier Vives, 2007. "Information and Learning in Markets," Levine's Bibliography 122247000000001520, UCLA Department of Economics.
    5. Easley,David & Kleinberg,Jon, 2010. "Networks, Crowds, and Markets," Cambridge Books, Cambridge University Press, number 9780521195331, October.
    6. Michael Ostrovsky, 2012. "Information Aggregation in Dynamic Markets With Strategic Traders," Econometrica, Econometric Society, vol. 80(6), pages 2595-2647, November.
    7. Jonathan Levin & Paul Milgrom, 2010. "Online Advertising: Heterogeneity and Conflation in Market Design," American Economic Review, American Economic Association, vol. 100(2), pages 603-607, May.
    8. Dirk Bergemann & Alessandro Bonatti, 2011. "Targeting in advertising markets: implications for offline versus online media," RAND Journal of Economics, RAND Corporation, vol. 42(3), pages 417-443, September.
    9. Susan Athey & Joshua S. Gans, 2010. "The Impact of Targeting Technology on Advertising Markets and Media Competition," American Economic Review, American Economic Association, vol. 100(2), pages 608-613, May.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Anna D’Annunzio & Antonio Russo, 2020. "Ad Networks and Consumer Tracking," Management Science, INFORMS, vol. 66(11), pages 5040-5058, November.
    2. Alessandro Acquisti & Curtis Taylor & Liad Wagman, 2016. "The Economics of Privacy," Journal of Economic Literature, American Economic Association, vol. 54(2), pages 442-492, June.
    3. Peitz, Martin & Reisinger, Markus, 2014. "The Economics of Internet Media," Working Papers 14-23, University of Mannheim, Department of Economics.
    4. Chollete, Loran, 2011. "A Model of Endogenous Extreme Events," UiS Working Papers in Economics and Finance 2012/2, University of Stavanger.
    5. Bo Cowgill & Cosmina Dorobantu, 2018. "Competition and Specificity in Market Design: Evidence from Geotargeted Advertising," Working Papers 18-09, NET Institute, revised Sep 2018.
    6. Nicolas S. Lambert & Michael Ostrovsky & Mikhail Panov, 2018. "Strategic Trading in Informationally Complex Environments," Econometrica, Econometric Society, vol. 86(4), pages 1119-1157, July.
    7. Avi Goldfarb, 2014. "What is Different About Online Advertising?," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 44(2), pages 115-129, March.
    8. Asriyan, Vladimir & Fuchs, William & Green, Brett, 2021. "Aggregation and design of information in asset markets with adverse selection," Journal of Economic Theory, Elsevier, vol. 191(C).
    9. Alp E. Atakan & Mehmet Ekmekci, 2014. "Auctions, Actions, and the Failure of Information Aggregation," American Economic Review, American Economic Association, vol. 104(7), pages 2014-2048, July.
    10. Mäkinen, Taneli & Ohl, Björn, 2015. "Information acquisition and learning from prices over the business cycle," Journal of Economic Theory, Elsevier, vol. 158(PB), pages 585-633.
    11. Steven Schmeiser, 2018. "Sharing Audience Data: Strategic Participation in Behavioral Advertising Networks," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 52(3), pages 429-450, May.
    12. de Cornière, Alexandre & Taylor, Greg, 2022. "Data and Competition: a Simple Framework with Applications to Mergers and Market Structure," CEPR Discussion Papers 14446, C.E.P.R. Discussion Papers.
    13. Susan Athey & Emilio Calvano & Joshua S. Gans, 2018. "The Impact of Consumer Multi-homing on Advertising Markets and Media Competition," Management Science, INFORMS, vol. 64(4), pages 1574-1590, April.
    14. Pooya Molavi & Ceyhun Eksin & Alejandro Ribeiro & Ali Jadbabaie, 2016. "Learning to Coordinate in Social Networks," Operations Research, INFORMS, vol. 64(3), pages 605-621, June.
    15. Zhao Jiang & Wu Dan & Liu Jie, 2020. "Distinct role of targeting precision of Internet-based targeted advertising in duopolistic e-business firms’ heterogeneous consumers market," Electronic Commerce Research, Springer, vol. 20(2), pages 453-474, June.
    16. Elias Albagli & Christian Hellwig & Aleh Tsyvinski, 2011. "A Theory of Asset Prices Based on Heterogeneous Information," Cowles Foundation Discussion Papers 1827, Cowles Foundation for Research in Economics, Yale University.
    17. de Cornière, Alexandre & Taylor, Greg, 2023. "Data and Competition: A Simple Framework," TSE Working Papers 23-1404, Toulouse School of Economics (TSE), revised Aug 2024.
    18. Dirk Bergemann & Alessandro Bonatti, 2019. "Markets for Information: An Introduction," Annual Review of Economics, Annual Reviews, vol. 11(1), pages 85-107, August.
    19. Mateusz Mysliwski & Lars Nesheim & Simeon Duckworth, 2023. "Taking the biscuit: how Safari privacy policies affect online advertising," CeMMAP working papers 04/23, Institute for Fiscal Studies.
    20. Kfir Eliaz & Ran Spiegler, 2020. "Incentive‐compatible advertising on nonretail platforms," RAND Journal of Economics, RAND Corporation, vol. 51(2), pages 323-345, June.

    More about this item

    Keywords

    Interdependent values and noise; Network; Link Formation; Innovation; Information Aggregation; Divisible Good Auction; Commonality;
    All these keywords.

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • L13 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Oligopoly and Other Imperfect Markets
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:net:wpaper:1112. See general information about how to correct material in RePEc.

    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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Nicholas Economides (email available below). General contact details of provider: http://www.NETinst.org/ .

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

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.