IDEAS home Printed from https://ideas.repec.org/a/inm/ormnsc/v52y2006i8p1223-1237.html
   My bibliography  Save this article

Timeshare Exchange Mechanisms

Author

Listed:
  • Yu Wang

    (Ross School of Business, University of Michigan, 701 Tappan Street, Ann Arbor, Michigan 48109)

  • Aradhna Krishna

    (Ross School of Business, University of Michigan, 701 Tappan Street, Ann Arbor, Michigan 48109)

Abstract

This paper focuses on the timeshare industry, where members own timeshare "weeks" and can exchange these weeks among themselves without a medium of exchange (such as money). Timeshare exchanges allow for the weeks to be redistributed among members to better match their preferences and thus increase efficiency. As such, the problem falls within the domain of matching problems, which have recently gained much attention in academia. We demonstrate theoretically that the two major timeshare exchange mechanisms used currently (deposit-first mechanism and request-first mechanism) can cause efficiency loss. We propose an alternate exchange mechanism, the top trading cycles chains and spacebank (TTCCS) mechanism, and show that it can increase the efficiency of the timeshare exchange market because TTCCS is Pareto efficient, individually rational, and strategyproof. We test the three exchange mechanisms in laboratory experiments where we simulate exchange markets with networked "timeshare members." The results of the experiments are robust across four different environments that we construct and strongly support our theory. The research focuses on an industry not studied earlier within academia and extends theoretical work on mechanism design to cases where supply of resources is dynamic, but resources can be stored.

Suggested Citation

  • Yu Wang & Aradhna Krishna, 2006. "Timeshare Exchange Mechanisms," Management Science, INFORMS, vol. 52(8), pages 1223-1237, August.
  • Handle: RePEc:inm:ormnsc:v:52:y:2006:i:8:p:1223-1237
    DOI: 10.1287/mnsc.1060.0513
    as

    Download full text from publisher

    File URL: http://dx.doi.org/10.1287/mnsc.1060.0513
    Download Restriction: no

    File URL: https://libkey.io/10.1287/mnsc.1060.0513?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. Wilfred Amaldoss & Robert J. Meyer & Jagmohan S. Raju & Amnon Rapoport, 2000. "Collaborating to Compete," Marketing Science, INFORMS, vol. 19(2), pages 105-126, November.
    2. Zenios, Stefanos & Woodle, E. Steve & Ross, Lainie Friedman, 2001. "Primum Non Nocere: Avoiding Harm to Vulnerable Wait List Candidates in an Indirect Kidney Exchange," Research Papers 1684, Stanford University, Graduate School of Business.
    3. Haruvy, Ernan & Erev, Ido & Sonsino, Doron, 2001. "The Medium Prizes Paradox: Evidence from a Simulated Casino," Journal of Risk and Uncertainty, Springer, vol. 22(3), pages 251-261, May.
    4. Shapley, Lloyd & Scarf, Herbert, 1974. "On cores and indivisibility," Journal of Mathematical Economics, Elsevier, vol. 1(1), pages 23-37, March.
    5. Yan Chen & Tayfun Sönmez, 2002. "Improving Efficiency of On-Campus Housing: An Experimental Study," American Economic Review, American Economic Association, vol. 92(5), pages 1669-1686, December.
    6. Sonmez, Tayfun & Utku Unver, M., 2005. "House allocation with existing tenants: an equivalence," Games and Economic Behavior, Elsevier, vol. 52(1), pages 153-185, July.
    7. Wilfred Amaldoss & Sanjay Jain, 2002. "David vs. Goliath: An Analysis of Asymmetric Mixed-Strategy Games and Experimental Evidence," Management Science, INFORMS, vol. 48(8), pages 972-991, August.
    8. Kagel, John H & Levin, Dan, 1993. "Independent Private Value Auctions: Bidder Behaviour in First-, Second- and Third-Price Auctions with Varying Numbers of Bidders," Economic Journal, Royal Economic Society, vol. 103(419), pages 868-879, July.
    9. Abdulkadiroglu, Atila & Sonmez, Tayfun, 1999. "House Allocation with Existing Tenants," Journal of Economic Theory, Elsevier, vol. 88(2), pages 233-260, October.
    10. Rami Zwick & Amnon Rapoport & Alison King Chung Lo & A. V. Muthukrishnan, 2003. "Consumer Sequential Search: Not Enough or Too Much?," Marketing Science, INFORMS, vol. 22(4), pages 503-519, October.
    11. Teck-Hua Ho & Keith Weigelt, 1996. "Task Complexity, Equilibrium Selection, and Learning: An Experimental Study," Management Science, INFORMS, vol. 42(5), pages 659-679, May.
    12. Joydeep Srivastava & Dipankar Chakravarti & Amnon Rapoport, 2000. "Price and Margin Negotiations in Marketing Channels: An Experimental Study of Sequential Bargaining Under One-sided Uncertainty and Opportunity Cost of Delay," Marketing Science, INFORMS, vol. 19(2), pages 163-184, October.
    13. Aradhna Krishna & Tayfun Sonmez & M. Utku Unver, 2004. "Efficiency enhanced course bidding: Evidence from a field experiment at the university of michigan business school," Framed Field Experiments 00167, The Field Experiments Website.
    14. John H. Kagel & Alvin E. Roth, 2000. "The Dynamics of Reorganization in Matching Markets: A Laboratory Experiment Motivated by a Natural Experiment," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 115(1), pages 201-235.
    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. Ross Anderson & Itai Ashlagi & David Gamarnik & Yash Kanoria, 2017. "Efficient Dynamic Barter Exchange," Operations Research, INFORMS, vol. 65(6), pages 1446-1459, December.
    2. Hua Chen & Sung H. Ham & Noah Lim, 2011. "Designing Multiperson Tournaments with Asymmetric Contestants: An Experimental Study," Management Science, INFORMS, vol. 57(5), pages 864-883, May.
    3. Subodha Kumar & Xiaowei Mei & Liangfei Qiu & Lai Wei, 2020. "Watching Ads for Free Mobile Data: A Game-Theoretic Analysis of Sponsored Data with Reward Task," Working Papers 20-08, NET Institute.
    4. Wilfred Amaldoss & Sanjay Jain, 2010. "Reference Groups and Product Line Decisions: An Experimental Investigation of Limited Editions and Product Proliferation," Management Science, INFORMS, vol. 56(4), pages 621-644, April.
    5. Tayfun Sönmez & M. Utku Ünver, 2009. "Matching, Allocation, and Exchange of Discrete Resources," Boston College Working Papers in Economics 717, Boston College Department of Economics.
    6. Yu Wang & Ernan Haruvy, 2013. "Tiers in One-Sided Matching Markets: Theory and Experimental Investigation," Management Science, INFORMS, vol. 59(6), pages 1458-1477, June.

    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. Aradhna Krishna & M. Utku Ünver, 2008. "Research Note—Improving the Efficiency of Course Bidding at Business Schools: Field and Laboratory Studies," Marketing Science, INFORMS, vol. 27(2), pages 262-282, 03-04.
    2. Tayfun Sönmez & M. Utku Ünver, 2006. "Kidney Exchange with Good Samaritan Donors: A Characterization," Boston College Working Papers in Economics 640, Boston College Department of Economics.
    3. Yu Wang & Ernan Haruvy, 2013. "Tiers in One-Sided Matching Markets: Theory and Experimental Investigation," Management Science, INFORMS, vol. 59(6), pages 1458-1477, June.
    4. Alvin E. Roth & Tayfun Sönmez & M. Utku Ünver, 2004. "Kidney Exchange," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 119(2), pages 457-488.
    5. Zhiwei Cui & Yan-An Hwang, 2017. "House exchange and residential segregation in networks," International Journal of Game Theory, Springer;Game Theory Society, vol. 46(1), pages 125-147, March.
    6. Pais, Joana & Pintér, Ágnes, 2008. "School choice and information: An experimental study on matching mechanisms," Games and Economic Behavior, Elsevier, vol. 64(1), pages 303-328, September.
    7. Roth, Alvin E. & Sonmez, Tayfun & Utku Unver, M., 2005. "Pairwise kidney exchange," Journal of Economic Theory, Elsevier, vol. 125(2), pages 151-188, December.
    8. Alvin Roth, 2008. "Deferred acceptance algorithms: history, theory, practice, and open questions," International Journal of Game Theory, Springer;Game Theory Society, vol. 36(3), pages 537-569, March.
    9. Morimitsu Kurino, 2014. "House Allocation with Overlapping Generations," American Economic Journal: Microeconomics, American Economic Association, vol. 6(1), pages 258-289, February.
    10. Yuji Fujinaka & Takuma Wakayama, 2011. "Secure implementation in Shapley–Scarf housing markets," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 48(1), pages 147-169, September.
    11. Ekici, Özgün, 2020. "Random mechanisms for house allocation with existing tenants," Journal of Mathematical Economics, Elsevier, vol. 89(C), pages 53-65.
    12. Pablo Guillen & Onur Kesten, 2012. "Matching Markets With Mixed Ownership: The Case For A Real‐Life Assignment Mechanism," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 53(3), pages 1027-1046, August.
    13. Valkanov, E. & Kleimeier, S., 2005. "The role of regulatory capital in international bank mergers and acquisitions," Research Memorandum 018, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    14. Ekici, Özgün, 2013. "Reclaim-proof allocation of indivisible objects," Games and Economic Behavior, Elsevier, vol. 81(C), pages 1-10.
    15. Krishna, Aradhna & Wang, Yu, 2007. "The relationship between top trading cycles mechanism and top trading cycles and chains mechanism," Journal of Economic Theory, Elsevier, vol. 132(1), pages 539-547, January.
    16. Sönmez, Tayfun & Ünver, M. Utku, 2010. "House allocation with existing tenants: A characterization," Games and Economic Behavior, Elsevier, vol. 69(2), pages 425-445, July.
    17. Sonmez, Tayfun & Utku Unver, M., 2005. "House allocation with existing tenants: an equivalence," Games and Economic Behavior, Elsevier, vol. 52(1), pages 153-185, July.
    18. Kesten, Onur, 2009. "Why do popular mechanisms lack efficiency in random environments?," Journal of Economic Theory, Elsevier, vol. 144(5), pages 2209-2226, September.
    19. Juan D Carrillo & Saurabh Singhal, 2011. "Tiered Housing Allocation: an Experimental Analysis," Working Paper 8511, USC Lusk Center for Real Estate.
    20. Troyan, Peter & Delacrétaz, David & Kloosterman, Andrew, 2020. "Essentially stable matchings," Games and Economic Behavior, Elsevier, vol. 120(C), pages 370-390.

    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:inm:ormnsc:v:52:y:2006:i:8:p:1223-1237. 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: Chris Asher (email available below). General contact details of provider: https://edirc.repec.org/data/inforea.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.