IDEAS home Printed from https://ideas.repec.org/p/ces/ceswps/_6750.html
   My bibliography  Save this paper

Reputation in the Long-Run

Author

Listed:
  • Apostolos Filippas
  • John Horton
  • Joseph M. Golden

Abstract

Feedback scores in an online marketplace have risen sharply over time, leading to substantial top-censoring. Some of the increase is explained by more satisfied raters, but at least 35-45% is attributable to raters applying lower standards. We show that this “reputation inflation” is the equilibrium outcome of a model in which (a) inferences made by future trading partners determine what constitutes “bad” feedback and (b) giving “bad” feedback is costly to raters. The introduction of a new feedback system confirms our model predictions: raters were candid when feedback was private, but when feedback suddenly became public, reputations began inflating.

Suggested Citation

  • Apostolos Filippas & John Horton & Joseph M. Golden, 2017. "Reputation in the Long-Run," CESifo Working Paper Series 6750, CESifo.
    • Handle: RePEc:ces:ceswps:_6750
    as

    Download full text from publisher

    File URL: https://www.cesifo.org/DocDL/cesifo1_wp6750.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. John Horton & David Rand & Richard Zeckhauser, 2011. "The online laboratory: conducting experiments in a real labor market," Experimental Economics, Springer;Economic Science Association, vol. 14(3), pages 399-425, September.
    2. Anindya Ghose & Panagiotis G. Ipeirotis & Beibei Li, 2014. "Examining the Impact of Ranking on Consumer Behavior and Search Engine Revenue," Management Science, INFORMS, vol. 60(7), pages 1632-1654, July.
    3. Dina Mayzlin & Yaniv Dover & Judith Chevalier, 2014. "Promotional Reviews: An Empirical Investigation of Online Review Manipulation," American Economic Review, American Economic Association, vol. 104(8), pages 2421-2455, August.
    4. Paul Resnick & Richard Zeckhauser & John Swanson & Kate Lockwood, 2006. "The value of reputation on eBay: A controlled experiment," Experimental Economics, Springer;Economic Science Association, vol. 9(2), pages 79-101, June.
    5. Amanda Pallais, 2013. "Inefficient Hiring in Entry-Level Labor Markets," NBER Working Papers 18917, National Bureau of Economic Research, Inc.
    6. Chen, Daniel L. & Horton, John J., 2016. "Are Online Labor Markets Spot Markets for Tasks?: A Field Experiment on the Behavioral Response to Wage Cuts," TSE Working Papers 16-675, Toulouse School of Economics (TSE).
    7. Wendy W. Moe & David A. Schweidel, 2012. "Online Product Opinions: Incidence, Evaluation, and Evolution," Marketing Science, INFORMS, vol. 31(3), pages 372-386, May.
    8. Dellarocas, Chrysanthos, 2003. "The Digitization of Word-of-mouth: Promise and Challenges of Online Feedback Mechanisms," Working papers 4296-03, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    9. Chrysanthos Dellarocas, 2003. "The Digitization of Word of Mouth: Promise and Challenges of Online Feedback Mechanisms," Management Science, INFORMS, vol. 49(10), pages 1407-1424, October.
    10. Gary Bolton & Ben Greiner & Axel Ockenfels, 2013. "Engineering Trust: Reciprocity in the Production of Reputation Information," Management Science, INFORMS, vol. 59(2), pages 265-285, January.
    11. Christina Aperjis & Ramesh Johari, 2010. "Optimal Windows for Aggregating Ratings in Electronic Marketplaces," Management Science, INFORMS, vol. 56(5), pages 864-880, May.
    12. Luís Cabral & Ali Hortaçsu, 2010. "The Dynamics Of Seller Reputation: Evidence From Ebay," Journal of Industrial Economics, Wiley Blackwell, vol. 58(1), pages 54-78, March.
    13. Qingmin Liu, 2011. "Information Acquisition and Reputation Dynamics," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 78(4), pages 1400-1425.
    14. Antonio Moreno & Christian Terwiesch, 2014. "Doing Business with Strangers: Reputation in Online Service Marketplaces," Information Systems Research, INFORMS, vol. 25(4), pages 865-886, December.
    15. Ginger Zhe Jin & Phillip Leslie, 2003. "The Effect of Information on Product Quality: Evidence from Restaurant Hygiene Grade Cards," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(2), pages 409-451.
    16. Agrawal, Ajay & Lacetera, Nicola & Lyons, Elizabeth, 2016. "Does standardized information in online markets disproportionately benefit job applicants from less developed countries?," Journal of International Economics, Elsevier, vol. 103(C), pages 1-12.
    17. Lawrence F. Katz & Alan B. Krueger, 2016. "The Rise and Nature of Alternative Work Arrangements in the United States, 1995-2015," Working Papers 603, Princeton University, Department of Economics, Industrial Relations Section..
    18. 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.
    19. Philip Babcock, 2010. "Real Costs Of Nominal Grade Inflation? New Evidence From Student Course Evaluations," Economic Inquiry, Western Economic Association International, vol. 48(4), pages 983-996, October.
    20. Xinxin Li & Lorin M. Hitt, 2008. "Self-Selection and Information Role of Online Product Reviews," Information Systems Research, INFORMS, vol. 19(4), pages 456-474, December.
    21. David Godes & José C. Silva, 2012. "Sequential and Temporal Dynamics of Online Opinion," Marketing Science, INFORMS, vol. 31(3), pages 448-473, May.
    22. Daniel L. Chen & John J. Horton, 2016. "Research Note—Are Online Labor Markets Spot Markets for Tasks? A Field Experiment on the Behavioral Response to Wage Cuts," Information Systems Research, INFORMS, vol. 27(2), pages 403-423, June.
    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. Kässi, Otto & Lehdonvirta, Vili, 2018. "Do Digital Skill Certificates Help New Workers Enter the Market? Evidence from an Online Labour Platform," SocArXiv 7tybd, Center for Open Science.
    2. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    3. Paul R. Milgrom & Steven Tadelis, 2018. "How Artificial Intelligence and Machine Learning Can Impact Market Design," NBER Chapters, in: The Economics of Artificial Intelligence: An Agenda, pages 567-585, National Bureau of Economic Research, Inc.

    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. Apostolos Filippas & John J. Horton & Joseph M. Golden, 2019. "Reputation Inflation," NBER Working Papers 25857, National Bureau of Economic Research, Inc.
    2. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    3. Apostolos Filippas & John J. Horton & Joseph M. Golden, 2022. "Reputation Inflation," Marketing Science, INFORMS, vol. 41(4), pages 733-745, July.
    4. Grace Gu & Feng Zhu, 2021. "Trust and Disintermediation: Evidence from an Online Freelance Marketplace," Management Science, INFORMS, vol. 67(2), pages 794-807, February.
    5. Andreas J. Steur & Mischa Seiter, 2021. "Properties of feedback mechanisms on digital platforms: an exploratory study," Journal of Business Economics, Springer, vol. 91(4), pages 479-526, May.
    6. Xiang Hui & Tobias J. Klein & Konrad Stahl, 2021. "When and Why Do Buyers Rate in Online Markets?," CRC TR 224 Discussion Paper Series crctr224_2021_267v1, University of Bonn and University of Mannheim, Germany.
    7. Gesche, Tobias, 2018. "Reference Price Shifts and Customer Antagonism: Evidence from Reviews for Online Auctions," VfS Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181650, Verein für Socialpolitik / German Economic Association.
    8. Mingfeng Lin & Yong Liu & Siva Viswanathan, 2018. "Effectiveness of Reputation in Contracting for Customized Production: Evidence from Online Labor Markets," Management Science, INFORMS, vol. 64(1), pages 345-359, January.
    9. Apostolos Filippas & John J. Horton & Richard J. Zeckhauser, 2020. "Owning, Using, and Renting: Some Simple Economics of the “Sharing Economy”," Management Science, INFORMS, vol. 66(9), pages 4152-4172, September.
    10. Peitz, Martin & Schwalbe, Ulrich, 2016. "Zwischen Sozialromantik und Neoliberalismus: Zur Ökonomie der Sharing-Economy," ZEW Discussion Papers 16-033, ZEW - Leibniz Centre for European Economic Research.
    11. Foster, Joshua, 2022. "How rating mechanisms shape user search, quality inference and engagement in online platforms: Experimental evidence," Journal of Business Research, Elsevier, vol. 142(C), pages 791-807.
    12. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
    13. Schwalbe Ulrich & Peitz Martin, 2016. "Kollaboratives Wirtschaften oder Turbokapitalismus?: Zur Ökonomie der Sharing economy," Perspektiven der Wirtschaftspolitik, De Gruyter, vol. 17(3), pages 232-252, September.
    14. Tobias Gesche, 2022. "Reference‐price shifts and customer antagonism: Evidence from reviews for online auctions," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 31(3), pages 558-578, August.
    15. Panos Constantinides & Ola Henfridsson & Geoffrey G. Parker, 2018. "Introduction—Platforms and Infrastructures in the Digital Age," Information Systems Research, INFORMS, vol. 29(2), pages 381-400, June.
    16. Xiang Hui & Meng Liu, 2022. "Quality Certificates Alleviate Consumer Aversion to Sponsored Search Advertising," CESifo Working Paper Series 9886, CESifo.
    17. Marios Kokkodis & Panagiotis G. Ipeirotis, 2016. "Reputation Transferability in Online Labor Markets," Management Science, INFORMS, vol. 62(6), pages 1687-1706, June.
    18. Georgios Zervas & Davide Proserpio & John W. Byers, 2021. "A first look at online reputation on Airbnb, where every stay is above average," Marketing Letters, Springer, vol. 32(1), pages 1-16, March.
    19. Weijia (Daisy) Dai & Ginger Jin & Jungmin Lee & Michael Luca, 2018. "Aggregation of consumer ratings: an application to Yelp.com," Quantitative Marketing and Economics (QME), Springer, vol. 16(3), pages 289-339, September.
    20. King, Robert Allen & Racherla, Pradeep & Bush, Victoria D., 2014. "What We Know and Don't Know About Online Word-of-Mouth: A Review and Synthesis of the Literature," Journal of Interactive Marketing, Elsevier, vol. 28(3), pages 167-183.

    More about this item

    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:ces:ceswps:_6750. 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: Klaus Wohlrabe (email available below). General contact details of provider: https://edirc.repec.org/data/cesifde.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.