IDEAS home Printed from https://ideas.repec.org/p/pcp/pucwps/wp00530.html
   My bibliography  Save this paper

Experiments on the Different Numbers of Bidders in Sequential Auctions

Author

Listed:
  • Hikmet Gunay

    (Department of Economics University of Manitoba, Canada.)

  • Ricardo Huamán-Aguilar

    (Departamento de Economía de la Pontificia Universidad Católica del Perú.)

Abstract

In a second-price sequential auction with global and local bidders, we analyze the correct selling order of goods when the number of bidders in each leg of the auction is different with laboratory experiments. Theoretically, selling the good with a large number of bidders last should generate an (almost) efficient outcome but selling it first should result in an inefficient outcome with a positive probability. Our experimental results show that selling that good last generates a more efficient outcome than selling it first. Hence, the experimental results show that the selling order has to be taken into account while designing a sequential auction. JEL Classification-JE: C90, C91, C92, D44.

Suggested Citation

  • Hikmet Gunay & Ricardo Huamán-Aguilar, 2024. "Experiments on the Different Numbers of Bidders in Sequential Auctions," Documentos de Trabajo / Working Papers 2024-530, Departamento de Economía - Pontificia Universidad Católica del Perú.
  • Handle: RePEc:pcp:pucwps:wp00530
    DOI: 10.18800/2079-8474.0530
    as

    Download full text from publisher

    File URL: http://doi.org/10.18800/2079-8474.0530
    Download Restriction: no

    File URL: https://libkey.io/10.18800/2079-8474.0530?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
    ---><---

    References listed on IDEAS

    as
    1. Chernomaz, Kirill & Levin, Dan, 2012. "Efficiency and synergy in a multi-unit auction with and without package bidding: An experimental study," Games and Economic Behavior, Elsevier, vol. 76(2), pages 611-635.
    2. Jeremy T. Fox & Patrick Bajari, 2013. "Measuring the Efficiency of an FCC Spectrum Auction," American Economic Journal: Microeconomics, American Economic Association, vol. 5(1), pages 100-146, February.
    3. Ben Greiner, 2015. "Subject pool recruitment procedures: organizing experiments with ORSEE," Journal of the Economic Science Association, Springer;Economic Science Association, vol. 1(1), pages 114-125, July.
    4. Dakshina G. De Silva, 2005. "Synergies in Recurring Procurement Auctions: An Empirical Investigation," Economic Inquiry, Western Economic Association International, vol. 43(1), pages 55-66, January.
    5. Krishna, Vijay & Rosenthal, Robert W., 1996. "Simultaneous Auctions with Synergies," Games and Economic Behavior, Elsevier, vol. 17(1), pages 1-31, November.
    6. Pagnozzi, Marco & Saral, Krista J., 2019. "Efficiency in auctions with (failed) resale," Journal of Economic Behavior & Organization, Elsevier, vol. 159(C), pages 254-273.
    7. Meng, Xin & Gunay, Hikmet, 2022. "Different Number of Bidders in Sequential Auctions," Hitotsubashi Journal of Economics, Hitotsubashi University, vol. 63(1), pages 72-85, June.
    8. Daniel L. Chen & Martin Schonger & Chris Wickens, 2016. "oTree - An open-source platform for laboratory, online, and field experiments," Post-Print hal-04315125, HAL.
    9. Leufkens Kasper & Peeters Ronald & Vorsatz Marc, 2012. "An Experimental Comparison of Sequential First- and Second-Price Auctions with Synergies," The B.E. Journal of Theoretical Economics, De Gruyter, vol. 12(1), pages 1-28, January.
    10. Chen, Daniel L. & Schonger, Martin & Wickens, Chris, 2016. "oTree—An open-source platform for laboratory, online, and field experiments," Journal of Behavioral and Experimental Finance, Elsevier, vol. 9(C), pages 88-97.
    11. Filiz-Ozbay, Emel & Lopez-Vargas, Kristian & Ozbay, Erkut Y., 2015. "Multi-object auctions with resale: Theory and experiment," Games and Economic Behavior, Elsevier, vol. 89(C), pages 1-16.
    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. Mathieu Chevrier & Vincent Teixeira, 2024. "Algorithm Control and Responsibility: Shifting Blame to the User?," GREDEG Working Papers 2024-04, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France.
    2. Przepiorka, Wojtek, 2023. "Laboratory experiments," SocArXiv 9cxq2, Center for Open Science.
    3. Barbosa, Klenio & Boyer, Pierre C., 2021. "Discrimination in Dynamic Procurement Design with Learning-by-doing," International Journal of Industrial Organization, Elsevier, vol. 77(C).
    4. Goeree, Jacob K. & Lien, Yuanchuan, 2014. "An equilibrium analysis of the simultaneous ascending auction," Journal of Economic Theory, Elsevier, vol. 153(C), pages 506-533.
    5. Meng, Xin & Gunay, Hikmet, 2017. "Exposure problem in multi-unit auctions," International Journal of Industrial Organization, Elsevier, vol. 52(C), pages 165-187.
    6. Lambsdorff, Johann Graf & Grubiak, Kevin & Werner, Katharina, 2023. "Intrinsic Motivation vs. Corruption? Experimental Evidence on the Performance of Officials," MPRA Paper 118153, University Library of Munich, Germany.
    7. M. Djiguemde & D. Dubois & A. Sauquet & M. Tidball, 2022. "Continuous Versus Discrete Time in Dynamic Common Pool Resource Game Experiments," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 82(4), pages 985-1014, August.
    8. Daniel Woods & Mustafa Abdallah & Saurabh Bagchi & Shreyas Sundaram & Timothy Cason, 2022. "Network defense and behavioral biases: an experimental study," Experimental Economics, Springer;Economic Science Association, vol. 25(1), pages 254-286, February.
    9. Markus Dertwinkel-Kalt & Jonas Frey, 2020. "Optimal Stopping in a Dynamic Salience Model," CESifo Working Paper Series 8496, CESifo.
    10. Barron, Kai & Ditlmann, Ruth & Gehrig, Stefan & Schweighofer-Kodritsch, Sebastian, 2020. "Explicit and implicit belief-based gender discrimination: A hiring experiment," Discussion Papers, Research Unit: Economics of Change SP II 2020-306, WZB Berlin Social Science Center.
    11. Klockmann, Victor & von Schenk, Alicia & Villeval, Marie Claire, 2022. "Artificial intelligence, ethics, and intergenerational responsibility," Journal of Economic Behavior & Organization, Elsevier, vol. 203(C), pages 284-317.
    12. Janet Hua (duplicate record) Jiang & Peter Norman & Daniela Puzzello & Bruno Sultanum & Randall Wright, 2021. "Is Money Essential? An Experimental Approach," Working Paper 21-12, Federal Reserve Bank of Richmond.
    13. Arrieta Vidal, Johar & Florián Hoyle, David & López Vargas, Kristian & Morales Vásquez, Valeria, 2022. "Policies for transactional de-dollarization: A laboratory study," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 31-54.
    14. Boukouras, Aristotelis & Jennings, Will & Li, Lunzheng & Maniadis, Zacharias, 2023. "Can biased polls distort electoral results? Evidence from the lab," European Journal of Political Economy, Elsevier, vol. 78(C).
    15. Castanheira, Micael & Huck, Steffen & Leutgeb, Johannes & Schotter, Andrew, 2023. "How Trump triumphed: Multi-candidate primaries with buffoons," European Economic Review, Elsevier, vol. 157(C).
    16. Nadja Kairies-Schwarz & Claudia Souček, 2020. "Performance Pay in Hospitals: An Experiment on Bonus–Malus Incentives," IJERPH, MDPI, vol. 17(22), pages 1-29, November.
    17. Duffy, John & Rabanal, Jean Paul & Rud, Olga A., 2023. "Market reactions to stock splits: Experimental evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 214(C), pages 325-345.
    18. Victor Klockmann & Alicia von Schenk & Ferdinand von Siemens, 2021. "Division of Labor and the Organization of Knowledge in Production: A Laboratory Experiment," CESifo Working Paper Series 8822, CESifo.
    19. Siyu Wang & Timothy Flannery, 2021. "Intention or Request: The Impact of Message Structures," Games, MDPI, vol. 12(1), pages 1-13, February.
    20. Ahrens, Steffen & Bosch-Rosa, Ciril, 2023. "Motivated beliefs, social preferences, and limited liability in financial decision-Making," Journal of Banking & Finance, Elsevier, vol. 154(C).

    More about this item

    Keywords

    Experimental economics; Lab experiments; Sequential auctions; Auction theory.;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D44 - Microeconomics - - Market Structure, Pricing, and Design - - - Auctions

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:pcp:pucwps:wp00530. 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: the person in charge (email available below). General contact details of provider: https://edirc.repec.org/data/depucpe.html .

    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.