[go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/hal/wpaper/hal-04055743.html
   My bibliography  Save this paper

Target versus budget reverse auctions: an online experiment using the strategy method

Author

Listed:
  • Adrien Coiffard

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier)

  • Raphaële Préget

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier)

  • Mabel Tidball

    (CEE-M - Centre d'Economie de l'Environnement - Montpellier - CNRS - Centre National de la Recherche Scientifique - INRAE - Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement - Institut Agro Montpellier - Institut Agro - Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement - UM - Université de Montpellier)

Abstract
Reverse auctions are used in various fields by public or corporate buyers to purchase goods and services from multiple sellers at the best price. Unlike in selling auctions, in reverse auctions a budget constraint rather than a target quantity is often announced by the auctioneer. However, in auction theory no optimal bidding strategy has yet been found in the case when a budget constraint is announced. Here we compare the two auction formats in an online experiment with 329 participants. We use the strategy method to obtain participants' bidding strategies from which we run exhaustive simulations of auction outcomes. This innovative methodology allows to overcome the issue of randomness of the auction outcome related to bidders' values. When each bidder has a single unit to sell, from the buyer's perspective, we find that, on average, the budget-constrained auction format outperforms the target-constrained auction format.

Suggested Citation

  • Adrien Coiffard & Raphaële Préget & Mabel Tidball, 2023. "Target versus budget reverse auctions: an online experiment using the strategy method," Working Papers hal-04055743, HAL.
  • Handle: RePEc:hal:wpaper:hal-04055743
    Note: View the original document on HAL open archive server: https://hal.inrae.fr/hal-04055743v1
    as

    Download full text from publisher

    File URL: https://hal.inrae.fr/hal-04055743v1/document
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Steven Schilizzi & Uwe Latacz-Lohmann, 2007. "Assessing the Performance of Conservation Auctions: An Experimental Study," Land Economics, University of Wisconsin Press, vol. 83(4), pages 497-515.
    2. Jordi Brandts & Gary Charness, 2011. "The strategy versus the direct-response method: a first survey of experimental comparisons," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 375-398, September.
    3. Fischbacher, Urs & Gächter, Simon & Quercia, Simone, 2012. "The behavioral validity of the strategy method in public good experiments," Journal of Economic Psychology, Elsevier, vol. 33(4), pages 897-913.
    4. Mitzkewitz, Michael & Nagel, Rosemarie, 1993. "Experimental Results on Ultimatum Games with Incomplete Information," International Journal of Game Theory, Springer;Game Theory Society, vol. 22(2), pages 171-198.
    5. Schilizzi, Steven & Latacz-Lohmann, Uwe, 2007. "Assessing the performance of conservation auctions: an experimental study," 2007 Conference (51st), February 13-16, 2007, Queenstown, New Zealand 10436, Australian Agricultural and Resource Economics Society.
    6. Thomas Dohmen & Armin Falk & David Huffman & Uwe Sunde & Jürgen Schupp & Gert G. Wagner, 2011. "Individual Risk Attitudes: Measurement, Determinants, And Behavioral Consequences," Journal of the European Economic Association, European Economic Association, vol. 9(3), pages 522-550, June.
    7. Schilizzi, Steven & Latacz-Lohmann, Uwe, 2013. "Conservation tenders: linking theory and experiments for policy assessment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(1), pages 1-23.
    8. Lusk,Jayson L. & Shogren,Jason F., 2007. "Experimental Auctions," Cambridge Books, Cambridge University Press, number 9780521855167.
    9. Hailu, Atakelty & Schilizzi, Steven & Thoyer, Sophie, 2005. "Assessing the performance of auctions for the allocation of conservation contracts: Theoretical and computational approaches," 2005 Annual meeting, July 24-27, Providence, RI 19478, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    10. Casari, Marco & Cason, Timothy N., 2009. "The strategy method lowers measured trustworthy behavior," Economics Letters, Elsevier, vol. 103(3), pages 157-159, June.
    11. Uwe Latacz-Lohmann & Carel Van der Hamsvoort, 1997. "Auctioning Conservation Contracts: A Theoretical Analysis and an Application," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(2), pages 407-418.
    12. Boxall, Peter C. & Perger, Orsolya & Packman, Katherine & Weber, Marian, 2017. "An experimental examination of target based conservation auctions," Land Use Policy, Elsevier, vol. 63(C), pages 592-600.
    13. Steven Schilizzi & Uwe Latacz-Lohmann, 2013. "Conservation tenders: linking theory and experiments for policy assessment," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 57(1), pages 15-37, January.
    14. Pengfei Liu, 2021. "Balancing Cost Effectiveness and Incentive Properties in Conservation Auctions: Experimental Evidence from Three Multi-award Reverse Auction Mechanisms," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 78(3), pages 417-451, March.
    15. Güth Werner & Königstein Manfred & Ivanova-Stenzel Radosveta & Strobel Martin, 2002. "Bid Functions in Auctions and Fair Division Games: Experimental Evidence," German Economic Review, De Gruyter, vol. 3(4), pages 461-484, December.
    16. Mill, Wladislaw & Morgan, John, 2022. "Competition between friends and foes," European Economic Review, Elsevier, vol. 147(C).
    17. Paul Klemperer, 2004. "Auctions: Theory and Practice," Online economics textbooks, SUNY-Oswego, Department of Economics, number auction1.
    18. repec:cup:judgdm:v:16:y:2021:i:5:p:1267-1289 is not listed on IDEAS
    19. Werner G¸th & Radosveta Ivanova-Stenzel & Manfred K–nigstein & Martin Strobel, 2003. "Learning to bid - an experimental study of bid function adjustments in auctions and fair division games," Economic Journal, Royal Economic Society, vol. 113(487), pages 477-494, April.
    20. Milgrom,Paul, 2004. "Putting Auction Theory to Work," Cambridge Books, Cambridge University Press, number 9780521536721, September.
    21. Katuščák, Peter & Michelucci, Fabio & Zajíček, Miroslav, 2015. "Does feedback really matter in one-shot first-price auctions?," Journal of Economic Behavior & Organization, Elsevier, vol. 119(C), pages 139-152.
    22. Harris, Milton & Raviv, Artur, 1981. "Allocation Mechanisms and the Design of Auctions," Econometrica, Econometric Society, vol. 49(6), pages 1477-1499, November.
    23. Paul Klemperer, 2004. "Auctions: Theory and Practice," Online economics textbooks, SUNY-Oswego, Department of Economics, number auction1.
    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. Adrien Coiffard & Raphaële Préget & Mabel Tidball, 2023. "Target versus budget reverse auctions: an online experiment using the strategy method," CEE-M Working Papers hal-04055743, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    2. Toho Hien & Raphaële Preget & Mabel Tidball, 2019. "Les enchères de contrats agroenvironnementaux : comparaison expérimentale entre contrainte d’objectif et contrainte de budget," CEE-M Working Papers hal-02378412, CEE-M, Universtiy of Montpellier, CNRS, INRA, Montpellier SupAgro.
    3. Schilizzi, Steven & Latacz-Lohmann, Uwe, 2009. "Predicting the performance of conservation tenders when information on bidders's costs is limited," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 48171, Australian Agricultural and Resource Economics Society.
    4. Lorentziadis, Panos L., 2016. "Optimal bidding in auctions from a game theory perspective," European Journal of Operational Research, Elsevier, vol. 248(2), pages 347-371.
    5. Boxall, Peter C. & Perger, Orsolya & Packman, Katherine & Weber, Marian, 2017. "An experimental examination of target based conservation auctions," Land Use Policy, Elsevier, vol. 63(C), pages 592-600.
    6. Whitten, Stuart M. & Reeson, Andrew & Windle, Jill & Rolfe, John, 2013. "Designing conservation tenders to support landholder participation: A framework and case study assessment," Ecosystem Services, Elsevier, vol. 6(C), pages 82-92.
    7. Sharma, Bijay P. & Cho, Seong-Hoon & Yu, T. Edward, 2019. "Designing cost-efficient payments for forest-based carbon sequestration: An auction-based modeling approach," Forest Policy and Economics, Elsevier, vol. 104(C), pages 182-194.
    8. 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.
    9. B Kelsey Jack, 2009. "Auctioning Conservation Contracts in Indonesia - Participant Learning in Multiple Trial Rounds," CID Working Papers 35, Center for International Development at Harvard University.
    10. Alessandra Casella & Adam B. Cox, 2018. "A Property Rights Approach to Temporary Work Visas," The Journal of Legal Studies, University of Chicago Press, vol. 47(S1), pages 195-227.
    11. Otto, Steven & Poe, Gregory L. & Just, David R., 2017. "Formulating and Testing a New Conservation Auction Mechanism in an Experimental Setting," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258476, Agricultural and Applied Economics Association.
    12. A. Talman & Zaifu Yang, 2015. "An efficient multi-item dynamic auction with budget constrained bidders," International Journal of Game Theory, Springer;Game Theory Society, vol. 44(3), pages 769-784, August.
    13. van der Laan, G. & Talman, Dolf & Yang, Z., 2018. "Equilibrium in the Assignment Market under Budget Constraints," Discussion Paper 2018-046, Tilburg University, Center for Economic Research.
    14. Jonathan Levin & Andrzej Skrzypacz, 2016. "Properties of the Combinatorial Clock Auction," American Economic Review, American Economic Association, vol. 106(9), pages 2528-2551, September.
    15. Brânzei, R. & Fragnelli, V. & Meca, A. & Tijs, S.H., 2006. "Two Classes of Cooperative Games Related to One-Object Auction Situations," Discussion Paper 2006-25, Tilburg University, Center for Economic Research.
    16. Ganuza, Juan José & Viecens, María Fernanda, 2011. "Deployment of high-speed broadband infrastructures during the economic crisis. The case of Xarxa Oberta," Telecommunications Policy, Elsevier, vol. 35(9), pages 857-870.
    17. Sven-Olof Fridolfsson and Thomas P. Tangeras, 2015. "Nuclear Capacity Auctions," The Energy Journal, International Association for Energy Economics, vol. 0(Number 3).
    18. Ralph-Christopher Bayer, 2016. "A Primer on Auction Design, Management, and Strategy , by David J. Salant ( MIT Press , Cambridge, London , 2014 ), pp. 184 ," The Economic Record, The Economic Society of Australia, vol. 92(298), pages 507-508, September.
    19. Eric Budish & Judd B. Kessler, 2022. "Can Market Participants Report Their Preferences Accurately (Enough)?," Management Science, INFORMS, vol. 68(2), pages 1107-1130, February.
    20. Zhen Li & Ching-Chung Kuo, 2013. "Design of discrete Dutch auctions with an uncertain number of bidders," Annals of Operations Research, Springer, vol. 211(1), pages 255-272, December.

    More about this item

    Keywords

    Reverse auctions; Online experiments; Strategy Method; Budget constraint; Target constraint.;
    All these keywords.

    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:hal:wpaper:hal-04055743. 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: CCSD (email available below). General contact details of provider: https://hal.archives-ouvertes.fr/ .

    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.