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Credence goods, costly diagnosis, and subjective evaluation

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  • Bester, Helmut
  • Dahm, Matthias

Abstract

We study contracting between a consumer and an expert. The expert can invest in diagnosis to obtain a noisy signal about whether a low-cost service is sufficient or whether a high-cost treatment is required to solve the consumer´s problem. This involves moral hazard because diagnosis effort and signals are not observable. Treatments are contractible, but success or failure of the low-cost treatment is observed only by the consumer. Payments can therefore not depend on the objective outcome but only the consumer´s report, or subjective evaluation. A failure of the low-cost treatment delays the solution of the consumer´s problem by the high-cost treatment to a second period. We show that the first-best solution can always be implemented if the parties - discount rate is zero; an increase in the discount rate reduces the range of parameter combinations for which the first-best can be obtained. In an extension we show that the first-best is also always implementable if diagnosis and treatment can be separated by contracting with two different agents.

Suggested Citation

  • Bester, Helmut & Dahm, Matthias, 2014. "Credence goods, costly diagnosis, and subjective evaluation," Discussion Papers 2014/29, Free University Berlin, School of Business & Economics.
  • Handle: RePEc:zbw:fubsbe:201429
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    Cited by:

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    2. Mehdi Ayouni & Thomas Lanzi, 2022. "Credence goods, consumer feedback and (in)efficiency," Working Papers of BETA 2022-27, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
    3. Matthias Lang, 2023. "Stochastic contracts and subjective evaluations," RAND Journal of Economics, RAND Corporation, vol. 54(1), pages 104-134, March.
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    6. 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).
    7. Pleyers, Gordy & Poncin, Ingrid, 2020. "Non-immersive virtual reality technologies in real estate: How customer experience drives attitudes toward properties and the service provider," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    8. Li, Jianpei & Ouyang, Yaofu, 2016. "Expert Costs and the Role of Verifiability," MPRA Paper 74390, University Library of Munich, Germany.
    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. Giacomo Corneo, 2015. "Income inequality from a lifetime perspective," Empirica, Springer;Austrian Institute for Economic Research;Austrian Economic Association, vol. 42(2), pages 225-239, May.
    11. Heike Hennig‐Schmidt & Hendrik Jürges & Daniel Wiesen, 2019. "Dishonesty in health care practice: A behavioral experiment on upcoding in neonatology," Health Economics, John Wiley & Sons, Ltd., vol. 28(3), pages 319-338, March.
    12. Razi Farukh & Anna Kerkhof & Jonas Loebbing, 2020. "Inefficiency and Regulation in Credence Goods Markets with Altruistic Experts," Working Paper Series in Economics 102, University of Cologne, Department of Economics.
    13. Haimanti Bhattacharya & Subhasish Dugar, 2020. "The Hidden Cost Of Bargaining: Evidence From A Cheating‐Prone Marketplace," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 61(3), pages 1253-1280, August.
    14. Ouyang, Yaofu, 2016. "Credence Goods, Risk Averse, and Optimal Insurance," MPRA Paper 70392, University Library of Munich, Germany.
    15. Cao, Yiran & Chen, Yongmin & Ding, Yucheng & Zhang, Tianle, 2022. "Search and competition in expert markets," MPRA Paper 114170, University Library of Munich, Germany.
    16. Hattendorff, Christian, 2014. "Natural resources, demand for external finance and financial development," Discussion Papers 2014/33, Free University Berlin, School of Business & Economics.
    17. Carolina Guerini & Donato Masciandaro & Alessia Papini, 2024. "Literacy and Financial Education: Private Providers, Public Certification and Political Preferences," BAFFI CAREFIN Working Papers 24223, BAFFI CAREFIN, Centre for Applied Research on International Markets Banking Finance and Regulation, Universita' Bocconi, Milano, Italy.
    18. Mehdi Ayouni & Thomas Lanzi, 2024. "Credence goods, consumer feedback and (in)efficiency," Working Papers hal-03740494, HAL.
    19. Green, Ellen P. & Kloosterman, Andrew, 2022. "Agent sorting by incentive systems in mission firms: Implications for healthcare and other credence goods markets," Journal of Economic Behavior & Organization, Elsevier, vol. 200(C), pages 408-429.
    20. Liu, Ting & Ma, Ching-to Albert, 2024. "Equilibrium information in credence goods," Games and Economic Behavior, Elsevier, vol. 145(C), pages 84-101.

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    More about this item

    Keywords

    credence goods; information acquisition; moral hazard; subjective evaluation;
    All these keywords.

    JEL classification:

    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D86 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Economics of Contract Law
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets

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