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Consumer information in a market for expert services

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  • Hyndman, Kyle
  • Ozerturk, Saltuk

Abstract

We present a model of credence goods in which the consumers are heterogenous in terms of the valuation they place for getting a serious problem fixed. We introduce consumer information into this framework by assuming that, prior to visiting an expert, some consumers receive an information signal about whether they have a serious or a minor problem. We show that when the fraction of consumers with low willingness to pay is sufficiently high, the expert does not cheat any low valuation consumer regardless of their information status, but cheats the high valuation consumers: those high-valuation consumers with bad signals are the most frequent victims of cheating, whereas those with good signals are the least likely victims. When the fraction of consumers with low willingness to pay is below a certain threshold, however, the unique equilibrium involves no cheating.

Suggested Citation

  • Hyndman, Kyle & Ozerturk, Saltuk, 2011. "Consumer information in a market for expert services," Journal of Economic Behavior & Organization, Elsevier, vol. 80(3), pages 628-640.
  • Handle: RePEc:eee:jeborg:v:80:y:2011:i:3:p:628-640
    DOI: 10.1016/j.jebo.2011.06.004
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    Cited by:

    1. Balafoutas, Loukas & Fornwagner, Helena & Kerschbamer, Rudolf & Sutter, Matthias & Tverdostup, Maryna, 2020. "Diagnostic Uncertainty and Insurance Coverage in Credence Goods Markets," IZA Discussion Papers 13848, Institute of Labor Economics (IZA).
    2. Helmut Bester & Matthias Dahm, 2018. "Credence Goods, Costly Diagnosis and Subjective Evaluation," Economic Journal, Royal Economic Society, vol. 128(611), pages 1367-1394, June.
    3. Schneider, Tim & Meub, Lukas & Bizer, Kilian, 2021. "Consumer information in a market for expert services: Experimental evidence," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 94(C).
    4. Bester, Helmut & Ouyang, Yaofu, 2018. "Optimal procurement of a credence good under limited liability," International Journal of Industrial Organization, Elsevier, vol. 61(C), pages 96-129.
    5. Balafoutas, Loukas & Kerschbamer, Rudolf, 2020. "Credence goods in the literature: What the past fifteen years have taught us about fraud, incentives, and the role of institutions," Journal of Behavioral and Experimental Finance, Elsevier, vol. 26(C).
    6. Jost, Peter-J. & Reik, Steffen & Ressi, Anna, 2021. "The information paradox in a monopolist’s credence goods market," International Journal of Industrial Organization, Elsevier, vol. 75(C).
    7. Schneider, Tim & Bizer, Kilian, 2017. "Expert qualification in markets for expert services: A Sisyphean Task?," University of Göttingen Working Papers in Economics 323, University of Goettingen, Department of Economics.
    8. Fang Liu & Alexander Rasch & Marco Alexander Schwarz & Christian Waibel, 2020. "The Role of Diagnostic Ability in Markets for Expert Services," CESifo Working Paper Series 8704, CESifo.
    9. Yongmin Chen & Jianpei Li & Jin Zhang, 2022. "Efficient Liability In Expert Markets," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(4), pages 1717-1744, November.
    10. Ouyang, Yaofu, 2016. "Credence Goods, Risk Averse, and Optimal Insurance," MPRA Paper 70392, University Library of Munich, Germany.
    11. Schneider, Tim & Bizer, Kilian, 2017. "Effects of qualification in expert markets with price competition and endogenous verifiability," University of Göttingen Working Papers in Economics 317, University of Goettingen, Department of Economics.
    12. Silvia Martinez-Gorricho, 2020. "Signalling, Information and Consumer Fraud," Games, MDPI, vol. 11(3), pages 1-25, July.

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    More about this item

    Keywords

    Credence goods; Expert cheating; Consumer information;
    All these keywords.

    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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