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Expectation, Disappointment, and Exit: Reference Point Formation in a Marketplace

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  • Matthew Backus
  • Thomas Blake
  • Dimitriy V. Masterov
  • Steven Tadelis

Abstract

We study expectation-based reference point formation using data from an online auction marketplace. We hypothesize that exit from the marketplace is affected by disappointment from abruptly losing an auction after being the leading bidder. Expectation-based reference points that evolve over time imply that a bidder who spends more time in the lead prior to an abrupt loss will suffer a higher degree of disappointment. We find that for every additional day in the lead, bidders who lose abruptly are 6 percentage points more likely to exit. In contrast, losing bidders whose expectations are informed by early, competing bids, show no effect at all. Also, consistent with our theoretical model, more experienced bidders are less sensitive to time spent in the lead.

Suggested Citation

  • Matthew Backus & Thomas Blake & Dimitriy V. Masterov & Steven Tadelis, 2017. "Expectation, Disappointment, and Exit: Reference Point Formation in a Marketplace," NBER Working Papers 23022, National Bureau of Economic Research, Inc.
  • Handle: RePEc:nbr:nberwo:23022
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    1. Kate Ho & Joseph Hogan & Fiona Scott Morton, 2017. "The impact of consumer inattention on insurer pricing in the Medicare Part D program," RAND Journal of Economics, RAND Corporation, vol. 48(4), pages 877-905, December.
    2. Colin Camerer & Linda Babcock & George Loewenstein & Richard Thaler, 1997. "Labor Supply of New York City Cabdrivers: One Day at a Time," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 407-441.
    3. Joseph G. Altonji & Todd E. Elder & Christopher R. Taber, 2005. "Selection on Observed and Unobserved Variables: Assessing the Effectiveness of Catholic Schools," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 151-184, February.
    4. Vincent P. Crawford & Juanjuan Meng, 2011. "New York City Cab Drivers' Labor Supply Revisited: Reference-Dependent Preferences with Rational-Expectations Targets for Hours and Income," American Economic Review, American Economic Association, vol. 101(5), pages 1912-1932, August.
    5. Botond Kőszegi & Matthew Rabin, 2006. "A Model of Reference-Dependent Preferences," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(4), pages 1133-1165.
    6. Stefano DellaVigna, 2009. "Psychology and Economics: Evidence from the Field," Journal of Economic Literature, American Economic Association, vol. 47(2), pages 315-372, June.
    7. Mark Israel, 2005. "Services as Experience Goods: An Empirical Examination of Consumer Learning in Automobile Insurance," American Economic Review, American Economic Association, vol. 95(5), pages 1444-1463, December.
    8. David Card & Gordon B. Dahl, 2011. "Family Violence and Football: The Effect of Unexpected Emotional Cues on Violent Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(1), pages 103-143.
    9. Jean-Charles Rochet & Jean Tirole, 2003. "Platform Competition in Two-Sided Markets," Journal of the European Economic Association, MIT Press, vol. 1(4), pages 990-1029, June.
    10. Bramsen, Jens-Martin, 2008. "A pseudo-endowment effect in internet auctions," MPRA Paper 14813, University Library of Munich, Germany.
    11. Christopher Cotton, 2009. "Sniping to Avoid the Endowment E ect in Auctions," Working Papers 2010-13, University of Miami, Department of Economics.
    12. Henry S. Farber, 2015. "Why you Can’t Find a Taxi in the Rain and Other Labor Supply Lessons from Cab Drivers," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 130(4), pages 1975-2026.
    13. Chris Nosko & Steven Tadelis, 2015. "The Limits of Reputation in Platform Markets: An Empirical Analysis and Field Experiment," NBER Working Papers 20830, National Bureau of Economic Research, Inc.
    14. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    15. Matthew Backus & Tom Blake & Dimitriy V. Masterov & Steven Tadelis, 2015. "Is Sniping A Problem For Online Auction Markets?," NBER Working Papers 20942, National Bureau of Economic Research, Inc.
    16. David E. Bell, 1985. "Disappointment in Decision Making Under Uncertainty," Operations Research, INFORMS, vol. 33(1), pages 1-27, February.
    17. Emel Filiz-Ozbay & Erkut Y. Ozbay, 2007. "Auctions with Anticipated Regret: Theory and Experiment," American Economic Review, American Economic Association, vol. 97(4), pages 1407-1418, September.
    18. Alvin E. Roth & Axel Ockenfels, 2002. "Last-Minute Bidding and the Rules for Ending Second-Price Auctions: Evidence from eBay and Amazon Auctions on the Internet," American Economic Review, American Economic Association, vol. 92(4), pages 1093-1103, September.
    19. Bajari, Patrick & Hortacsu, Ali, 2003. "The Winner's Curse, Reserve Prices, and Endogenous Entry: Empirical Insights from eBay Auctions," RAND Journal of Economics, The RAND Corporation, vol. 34(2), pages 329-355, Summer.
    20. Budish, Eric B. & Takeyama, Lisa N., 2001. "Buy prices in online auctions: irrationality on the internet?," Economics Letters, Elsevier, vol. 72(3), pages 325-333, September.
    21. John A. List, 2003. "Does Market Experience Eliminate Market Anomalies?," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(1), pages 41-71.
    22. Liran Einav & Chiara Farronato & Jonathan D. Levin & Neel Sundaresan, 2013. "Sales Mechanisms in Online Markets: What Happened to Internet Auctions?," NBER Working Papers 19021, National Bureau of Economic Research, Inc.
    23. Bauner, Christoph, 2015. "Mechanism choice and the buy-it-now auction: A structural model of competing buyers and sellers," International Journal of Industrial Organization, Elsevier, vol. 38(C), pages 19-31.
    24. Nicholas C. Barberis, 2013. "Thirty Years of Prospect Theory in Economics: A Review and Assessment," Journal of Economic Perspectives, American Economic Association, vol. 27(1), pages 173-196, Winter.
    25. Graham Loomes & Robert Sugden, 1986. "Disappointment and Dynamic Consistency in Choice under Uncertainty," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 53(2), pages 271-282.
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    Cited by:

    1. Michele Fioretti, 2022. "Caring or Pretending to Care? Social Impact, Firms' Objectives, and Welfare (former title: Social Responsibility and Firm's Objectives)," SciencePo Working papers Main hal-03393065, HAL.
    2. Michele Fioretti, 2020. "Social Responsibility and Firm's Objectives," Sciences Po publications 2020-01, Sciences Po.
    3. Xinyuan Liu & Zaiyan Wei & Mo Xiao, 2020. "Platform Mispricing and Lender Learning in Peer-to-Peer Lending," Review of Industrial Organization, Springer;The Industrial Organization Society, vol. 56(2), pages 281-314, March.
    4. Achyuta Adhvaryu & Teresa Molina & Anant Nyshadham, 2019. "Expectations, Wage Hikes, and Worker Voice: Evidence from a Field Experiment," NBER Working Papers 25866, National Bureau of Economic Research, Inc.
    5. repec:hal:spmain:info:hdl:2441/7fsnj6af7v9ncrf76qn5p5on9e is not listed on IDEAS
    6. Anna Maffioletti, Agata Maida, Francesco Scacciati, 2019. "Happiness, life satisfaction, well-being: survey design and response analysis," European Journal of Comparative Economics, Cattaneo University (LIUC), vol. 16(2), pages 277-312, December.
    7. repec:hal:wpspec:info:hdl:2441/7fsnj6af7v9ncrf76qn5p5on9e is not listed on IDEAS

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    More about this item

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D47 - Microeconomics - - Market Structure, Pricing, and Design - - - Market Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

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