IDEAS home Printed from https://ideas.repec.org/a/eee/gamebe/v118y2019icp589-608.html
   My bibliography  Save this article

Economic efficiency requires interaction

Author

Listed:
  • Dobzinski, Shahar
  • Nisan, Noam
  • Oren, Sigal

Abstract

We study the necessity of interaction between individuals for obtaining approximately efficient economic allocations. We view this as a formalization of Hayek's classic point of view that focuses on the information transfer advantages that markets have relative to centralized planning. We study two settings: combinatorial auctions with unit demand bidders (bipartite matching) and combinatorial auctions with subadditive bidders. In both settings we prove that non-interactive protocols require exponentially larger communication costs than do interactive ones, even ones that only use a modest amount of interaction.

Suggested Citation

  • Dobzinski, Shahar & Nisan, Noam & Oren, Sigal, 2019. "Economic efficiency requires interaction," Games and Economic Behavior, Elsevier, vol. 118(C), pages 589-608.
    • Handle: RePEc:eee:gamebe:v:118:y:2019:i:c:p:589-608
    DOI: 10.1016/j.geb.2018.02.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0899825618300332
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.geb.2018.02.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Hurwicz, Leonid, 1973. "The Design of Mechanisms for Resource Allocation," American Economic Review, American Economic Association, vol. 63(2), pages 1-30, May.
    2. Lehmann, Benny & Lehmann, Daniel & Nisan, Noam, 2006. "Combinatorial auctions with decreasing marginal utilities," Games and Economic Behavior, Elsevier, vol. 55(2), pages 270-296, May.
    3. Demange, Gabrielle & Gale, David & Sotomayor, Marilda, 1986. "Multi-Item Auctions," Journal of Political Economy, University of Chicago Press, vol. 94(4), pages 863-872, August.
    4. Nisan, Noam & Segal, Ilya, 2006. "The communication requirements of efficient allocations and supporting prices," Journal of Economic Theory, Elsevier, vol. 129(1), pages 192-224, July.
    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. Liad Blumrosen & Noam Nisan, 2005. "On the Computational Power of Iterative Auctions I: Demand Queries," Discussion Paper Series dp381, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    2. Blumrosen, Liad & Nisan, Noam, 2010. "Informational limitations of ascending combinatorial auctions," Journal of Economic Theory, Elsevier, vol. 145(3), pages 1203-1223, May.
    3. Liad Blumrosen & Noam Nisan, 2005. "On the Computational Power of Iterative Auctions II: Ascending Auctions," Discussion Paper Series dp382, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    4. Shahar Dobzinski & Noam Nisan & Michael Schapira, 2005. "Truthful Randomized Mechanisms for Combinatorial Auctions," Discussion Paper Series dp408, The Federmann Center for the Study of Rationality, the Hebrew University, Jerusalem.
    5. Martin Bichler & Paul Milgrom & Gregor Schwarz, 2023. "Taming the Communication and Computation Complexity of Combinatorial Auctions: The FUEL Bid Language," Management Science, INFORMS, vol. 69(4), pages 2217-2238, April.
    6. Dries R. Goossens & Rudolf Müller & Frits C. R. Spieksma, 2010. "Algorithms for Recognizing Economic Properties in Matrix Bid Combinatorial Auctions," INFORMS Journal on Computing, INFORMS, vol. 22(3), pages 339-352, August.
    7. Paes Leme, Renato, 2017. "Gross substitutability: An algorithmic survey," Games and Economic Behavior, Elsevier, vol. 106(C), pages 294-316.
    8. Mishra, Debasis & Parkes, David C., 2009. "Multi-item Vickrey-Dutch auctions," Games and Economic Behavior, Elsevier, vol. 66(1), pages 326-347, May.
    9. Daniel Lehmann, 2019. "Revealed Preferences for Matching with Contracts," Papers 1908.08823, arXiv.org, revised Mar 2020.
    10. Kazuo Murota & Akiyoshi Shioura & Zaifu Yang, 2014. "Time Bounds for Iterative Auctions: A Unified Approach by Discrete Convex Analysis," Discussion Papers 14/27, Department of Economics, University of York.
    11. Alexander Teytelboym & Shengwu Li & Scott Duke Kominers & Mohammad Akbarpour & Piotr Dworczak, 2021. "Discovering Auctions: Contributions of Paul Milgrom and Robert Wilson," Scandinavian Journal of Economics, Wiley Blackwell, vol. 123(3), pages 709-750, July.
    12. Tim Roughgarden, 2018. "Complexity Theory, Game Theory, and Economics: The Barbados Lectures," Papers 1801.00734, arXiv.org, revised Feb 2020.
    13. Goossens, D.R. & Müller, R.J. & Spieksma, F.C.R., 2007. "Matrix bids in combinatorial auctions: expressiveness and micro-economic properties," Research Memorandum 016, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    14. Ozan Candogan & Asuman Ozdaglar & Pablo A. Parrilo, 2015. "Iterative Auction Design for Tree Valuations," Operations Research, INFORMS, vol. 63(4), pages 751-771, August.
    15. Fadaei, Salman & Bichler, Martin, 2017. "Truthfulness with value-maximizing bidders: On the limits of approximation in combinatorial markets," European Journal of Operational Research, Elsevier, vol. 260(2), pages 767-777.
    16. Ioannis Petrakis & Georg Ziegler & Martin Bichler, 2013. "Ascending Combinatorial Auctions with Allocation Constraints: On Game Theoretical and Computational Properties of Generic Pricing Rules," Information Systems Research, INFORMS, vol. 24(3), pages 768-786, September.
    17. Ning Sun & Zaifu Yang, 2008. "A Double-Track Auction for Substitutes and Complements," KIER Working Papers 656, Kyoto University, Institute of Economic Research.
    18. Martin Bichler & Zhen Hao & Gediminas Adomavicius, 2017. "Coalition-Based Pricing in Ascending Combinatorial Auctions," Information Systems Research, INFORMS, vol. 28(1), pages 159-179, March.
    19. Baranov, Oleg, 2018. "An efficient ascending auction for private valuations," Journal of Economic Theory, Elsevier, vol. 177(C), pages 495-517.
    20. Lavi, Ron & Nisan, Noam, 2015. "Online ascending auctions for gradually expiring items," Journal of Economic Theory, Elsevier, vol. 156(C), pages 45-76.

    More about this item

    Keywords

    Combinatorial auctions; Communication complexity;

    JEL classification:

    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions

    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:eee:gamebe:v:118:y:2019:i:c:p:589-608. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622836 .

    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.