IDEAS home Printed from https://ideas.repec.org/a/eee/mateco/v61y2015icp246-252.html
   My bibliography  Save this article

Advertising a second-price auction

Author

Listed:
  • Fang, Rui
  • Li, Xiaohu

Abstract

This study examines a symmetric private-value second-price auction model in which the seller solicits bidders at a cost, sets a reserve price, and receives a payoff which is a convex combination of revenue and welfare. The bidder’s valuations are drawn from a distribution with a decreasing hazard rate and non-decreasing virtual valuations. We find that at equilibrium the seller adopts an advertising policy which minimizes the uncertainty over the number of participants, and sets a reserve price which only depends on the distribution of valuations and the weight on revenue in the objective function. A welfare-maximizing seller is shown to advertise more than a revenue-maximizing seller, and a ceteris paribus increase in the advertising level is proved to increase the expected winner’s rent.

Suggested Citation

  • Fang, Rui & Li, Xiaohu, 2015. "Advertising a second-price auction," Journal of Mathematical Economics, Elsevier, vol. 61(C), pages 246-252.
  • Handle: RePEc:eee:mateco:v:61:y:2015:i:c:p:246-252
    DOI: 10.1016/j.jmateco.2015.04.003
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304406815000385
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.jmateco.2015.04.003?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. Bulow, Jeremy & Klemperer, Paul, 1996. "Auctions versus Negotiations," American Economic Review, American Economic Association, vol. 86(1), pages 180-194, March.
    2. Szech, Nora, 2011. "Optimal advertising of auctions," Journal of Economic Theory, Elsevier, vol. 146(6), pages 2596-2607.
    3. Roger B. Myerson, 1981. "Optimal Auction Design," Mathematics of Operations Research, INFORMS, vol. 6(1), pages 58-73, February.
    4. Adamidis, K. & Loukas, S., 1998. "A lifetime distribution with decreasing failure rate," Statistics & Probability Letters, Elsevier, vol. 39(1), pages 35-42, July.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Li, Chen & Li, Xiaohu, 2019. "Hazard rate and reversed hazard rate orders on extremes of heterogeneous and dependent random variables," Statistics & Probability Letters, Elsevier, vol. 146(C), pages 104-111.

    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. Haitian Xie, 2023. "Grenander-type Density Estimation under Myerson Regularity," Papers 2305.09052, arXiv.org.
    2. Scott Duke Kominers & Alexander Teytelboym & Vincent P Crawford, 2017. "An invitation to market design," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 33(4), pages 541-571.
    3. Schmitz, Patrick W., 2003. "On second-price auctions and imperfect competition," Journal of Mathematical Economics, Elsevier, vol. 39(8), pages 901-909, November.
    4. Yuen Leng Chow & Isa E. Hafalir & Abdullah Yavas, 2015. "Auction versus Negotiated Sale: Evidence from Real Estate Sales," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 43(2), pages 432-470, June.
    5. Schweizer, Nikolaus & Szech, Nora, 2015. "A quantitative version of Myerson regularity," Working Paper Series in Economics 76, Karlsruhe Institute of Technology (KIT), Department of Economics and Management.
    6. Walter Beckert, 2004. "Dynamic Monopolies with Stochastic Demand," Birkbeck Working Papers in Economics and Finance 0404, Birkbeck, Department of Economics, Mathematics & Statistics.
    7. Jehiel, Philippe & Lamy, Laurent, 2014. "On discrimination in procurement auctions," CEPR Discussion Papers 9790, C.E.P.R. Discussion Papers.
    8. Dominic Coey & Bradley Larsen & Kane Sweeney, 2019. "The bidder exclusion effect," RAND Journal of Economics, RAND Corporation, vol. 50(1), pages 93-120, March.
    9. Jason Shachat & Lijia Tan, 2015. "An Experimental Investigation of Auctions and Bargaining in Procurement," Management Science, INFORMS, vol. 61(5), pages 1036-1051, May.
    10. 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.
    11. Ronald M. Harstad, 2007. "Does a Seller Really Want Another Bidder?," Working Papers 0711, Department of Economics, University of Missouri.
    12. Yongmin Chen & Ruqu Wang, 2004. "Equilibrium Selling Mechanisms," Annals of Economics and Finance, Society for AEF, vol. 5(2), pages 335-355, November.
    13. Jeremy Bulow & Paul Klemperer, 2007. "When are Auctions Best?," Economics Papers 2007-W03, Economics Group, Nuffield College, University of Oxford.
    14. Philippe Jehiel & Laurent Lamy, 2020. "On the Benefits of Set-Asides," Journal of the European Economic Association, European Economic Association, vol. 18(4), pages 1655-1696.
    15. Syngjoo Choi & Lars Nesheim & Imran Rasul, 2016. "Reserve Price Effects In Auctions: Estimates From Multiple Regression-Discontinuity Designs," Economic Inquiry, Western Economic Association International, vol. 54(1), pages 294-314, January.
    16. Stephanie Rosenkranz & Patrick W. Schmitz, 2007. "Reserve Prices in Auctions as Reference Points," Economic Journal, Royal Economic Society, vol. 117(520), pages 637-653, April.
    17. Chawla, Shuchi & Hartline, Jason D. & Sivan, Balasubramanian, 2019. "Optimal crowdsourcing contests," Games and Economic Behavior, Elsevier, vol. 113(C), pages 80-96.
    18. Sven-Olof Fridolfsson and Thomas P. Tangeras, 2015. "Nuclear Capacity Auctions," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    19. Sander Onderstal & Yang Yang, 2020. "Cheap-talk Communication in Procurement Auctions: Theory and Experiment," Tinbergen Institute Discussion Papers 20-013/VII, Tinbergen Institute.
    20. Kirkegaard, René & Overgaard, Per Baltzer, 2008. "Pre-auction offers in asymmetric first-price and second-price auctions," Games and Economic Behavior, Elsevier, vol. 63(1), pages 145-165, May.

    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:mateco:v:61:y:2015:i:c:p:246-252. 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/jmateco .

    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.