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The Problem Of Reputation Reliability In Online Freelance Markets

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Listed:
  • Elina Ishmukhametova

    (National Research University Higher School of Economics)

  • Marina Sandomirskaia

    (National Research University Higher School of Economics)

Abstract

This paper explains how the problem of reputation credibility may arise in online freelance markets, as clients often complain about the quality of the completed work irrespective of the price and the rating of the worker. We develop a dynamic signaling model of falsified reputation purchase by low-skilled freelancers, focusing on a semi-separating equilibrium in every period. The main result states that when the costs of purchasing reputation are high, only the maximum rating is bought. This is due to low-skilled freelancers wanting to be chosen by clients in order to recoup their losses. When the costs are low, a variety of reputations are observed, but the reputation mechanism is not credible and adds little new information to prices

Suggested Citation

  • Elina Ishmukhametova & Marina Sandomirskaia, 2023. "The Problem Of Reputation Reliability In Online Freelance Markets," HSE Working papers WP BRP 260/EC/2023, National Research University Higher School of Economics.
  • Handle: RePEc:hig:wpaper:260/ec/2023
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    References listed on IDEAS

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    1. Paul R. Milgrom & Douglass C. North & Barry R. Weingast*, 1990. "The Role Of Institutions In The Revival Of Trade: The Law Merchant, Private Judges, And The Champagne Fairs," Economics and Politics, Wiley Blackwell, vol. 2(1), pages 1-23, March.
    2. Aleksei Smirnov & Egor Starkov, 2022. "Bad News Turned Good: Reversal under Censorship," American Economic Journal: Microeconomics, American Economic Association, vol. 14(2), pages 506-560, May.
    3. Greif, Avner, 1993. "Contract Enforceability and Economic Institutions in Early Trade: the Maghribi Traders' Coalition," American Economic Review, American Economic Association, vol. 83(3), pages 525-548, June.
    4. Apostolos Filippas & John J. Horton & Joseph M. Golden, 2019. "Reputation Inflation," NBER Working Papers 25857, National Bureau of Economic Research, Inc.
    5. 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..
    6. Chrysanthos Dellarocas, 2006. "Strategic Manipulation of Internet Opinion Forums: Implications for Consumers and Firms," Management Science, INFORMS, vol. 52(10), pages 1577-1593, October.
    7. 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.
    8. 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.
    9. David Lucking‐Reiley & Doug Bryan & Naghi Prasad & Daniel Reeves, 2007. "Pennies From Ebay: The Determinants Of Price In Online Auctions," Journal of Industrial Economics, Wiley Blackwell, vol. 55(2), pages 223-233, June.
    10. Hema Yoganarasimhan, 2013. "The Value of Reputation in an Online Freelance Marketplace," Marketing Science, INFORMS, vol. 32(6), pages 860-891, November.
    11. Chrysanthos Dellarocas, 2005. "Reputation Mechanism Design in Online Trading Environments with Pure Moral Hazard," Information Systems Research, INFORMS, vol. 16(2), pages 209-230, June.
    12. Grace Gu & Feng Zhu, 2021. "Trust and Disintermediation: Evidence from an Online Freelance Marketplace," Management Science, INFORMS, vol. 67(2), pages 794-807, February.
    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. Steven Tadelis, 2016. "Reputation and Feedback Systems in Online Platform Markets," Annual Review of Economics, Annual Reviews, vol. 8(1), pages 321-340, October.
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    More about this item

    Keywords

    reputation; freelance; marketplace.;
    All these keywords.

    JEL classification:

    • C73 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Stochastic and Dynamic Games; Evolutionary Games
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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