IDEAS home Printed from https://ideas.repec.org/p/inn/wpaper/2025-03.html
   My bibliography  Save this paper

The Value of Rating Systems in Credence Goods Markets

Author

Listed:
  • Silvia Angerer
  • Daniela Glätzle-Rützler
  • Wanda Mimra
  • Thomas Rittmannsberger
  • Christian Waibel

Abstract

In this paper, we experimentally investigate the effect of public consumer ratings on market outcomes in credence goods markets. Contrary to search or experience goods, consumers cannot evaluate all dimensions of trade for credence goods, which may inhibit the information and reputation-building value of public rating systems. We implement a market in which experts have an informational advantage over consumers with respect to the appropriate service level. The rating system takes the form of a five-star rating system as is common on online rating websites. The value of this rating system is compared in two different expert market settings: First, one in which consumers cannot rely on information from personal experience with the expert, reflecting markets in which consumerexpert interactions are often first-time and infrequent (e.g. specialist visits in healthcare markets). Second, one in which consumers have personal experience with the expert, reflecting markets in which consumer-expert interactions are frequent and repeated (e.g. general practitioner visits in healthcare markets). We find that the public rating system significantly improves market outcomes. Furthermore, a public rating system is a good substitute for personal experience information in terms of market efficiency and consumer surplus. Combined, however, we find no complementarity between public ratings and personal experience information, mainly due to the already high market efficiency in the presence of either one.

Suggested Citation

  • Silvia Angerer & Daniela Glätzle-Rützler & Wanda Mimra & Thomas Rittmannsberger & Christian Waibel, 2025. "The Value of Rating Systems in Credence Goods Markets," Working Papers 2025-03, Faculty of Economics and Statistics, Universität Innsbruck.
  • Handle: RePEc:inn:wpaper:2025-03
    as

    Download full text from publisher

    File URL: https://www2.uibk.ac.at/downloads/c9821000/wpaper/2025-03.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Godager, Geir & Hennig-Schmidt, Heike & Iversen, Tor, 2016. "Does performance disclosure influence physicians’ medical decisions? An experimental study," Journal of Economic Behavior & Organization, Elsevier, vol. 131(PB), pages 36-46.
    2. Beth Parkinson & Rachel Meacock & Matt Sutton, 2019. "How do hospitals respond to price changes in emergency departments?," Health Economics, John Wiley & Sons, Ltd., vol. 28(7), pages 830-842, July.
    3. 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.
    4. Danish H. Saifee & Zhiqiang (Eric) Zheng & Indranil R. Bardhan & Atanu Lahiri, 2020. "Are Online Reviews of Physicians Reliable Indicators of Clinical Outcomes? A Focus on Chronic Disease Management," Information Systems Research, INFORMS, vol. 31(4), pages 1282-1300, December.
    Full references (including those not matched with items on IDEAS)

    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. Chrysanthos Dellarocas & Charles A. Wood, 2008. "The Sound of Silence in Online Feedback: Estimating Trading Risks in the Presence of Reporting Bias," Management Science, INFORMS, vol. 54(3), pages 460-476, March.
    2. Anell, Anders & Dietrichson, Jens & Ellegård, Lina Maria & Kjellsson, Gustav, 2022. "Well-Informed Choices? Effects of Information Interventions in Primary Care on Care Quality," Working Papers 2022:2, Lund University, Department of Economics.
    3. Judy E. Scott & Dawn G. Gregg & Jae Hoon Choi, 2015. "Lemon complaints: When online auctions go sour," Information Systems Frontiers, Springer, vol. 17(1), pages 177-191, February.
    4. Zhaohua Deng & Guorui Fan & Zihao Deng & Bin Wang, 2024. "Why Doctors Participate in Teams of Online Health Communities? A Social Identity and Brand Resource Perspective," Information Systems Frontiers, Springer, vol. 26(5), pages 1915-1941, October.
    5. Wang, Yan & Yang, Jian & Qi, Lian, 2017. "A game-theoretic model for the role of reputation feedback systems in peer-to-peer commerce," International Journal of Production Economics, Elsevier, vol. 191(C), pages 178-193.
    6. Anton Ivanov & Zhasmina Tacheva & Abdullatif Alzaidan & Sebastian Souyris & Albert C. England, 2023. "Informational value of visual nudges during crises: Improving public health outcomes through social media engagement amid COVID‐19," Production and Operations Management, Production and Operations Management Society, vol. 32(8), pages 2400-2419, August.
    7. Christina Aperjis & Ramesh Johari, 2010. "Optimal Windows for Aggregating Ratings in Electronic Marketplaces," Management Science, INFORMS, vol. 56(5), pages 864-880, May.
    8. Aperjis, Christina & Zeckhauser, Richard J. & Miao, Yali, 2014. "Variable temptations and black mark reputations," Games and Economic Behavior, Elsevier, vol. 87(C), pages 70-90.
    9. Xiaowei Mei & Hsing Kenneth Cheng & Subhajyoti Bandyopadhyay & Liangfei Qiu & Lai Wei, 2022. "Sponsored Data: Smarter Data Pricing with Incomplete Information," Information Systems Research, INFORMS, vol. 33(1), pages 362-382, March.
    10. Jianqing Chen & Hong Xu & Andrew B. Whinston, 2009. "Moderated Online Communities and User-Generated Content," Working Papers 09-11, NET Institute.
    11. 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.
    12. Milan Bradonjić & Matthew Causley & Albert Cohen, 2015. "Stochastic Optimal Control for Online Seller under Reputational Mechanisms," Risks, MDPI, vol. 3(4), pages 1-20, December.
    13. Gary E Bolton & Claudia Loebbecke & Axel Ockenfels, 2007. "How Social Reputation Networks Interact with Competition in Anonymous Online Trading: An Experimental Study," Working Paper Series in Economics 32, University of Cologne, Department of Economics.
    14. Francetic, Igor & Meacock, Rachel & Sutton, Matt, 2024. "Free-for-all: Does crowding impact outcomes because hospital emergency departments do not prioritise effectively?," Journal of Health Economics, Elsevier, vol. 95(C).
    15. Giliberto Capano & Benedetto Lepori, 2024. "Designing policies that could work: understanding the interaction between policy design spaces and organizational responses in public sector," Policy Sciences, Springer;Society of Policy Sciences, vol. 57(1), pages 53-82, March.
    16. Christian Volmar Skovsgaard & Troels Kristensen & Ryan Pulleyblank & Kim Rose Olsen, 2023. "Increasing capitation in mixed remuneration schemes: Effects on service provision and process quality of care," Health Economics, John Wiley & Sons, Ltd., vol. 32(11), pages 2477-2498, November.
    17. Guetz, Bernhard & Bidmon, Sonja, 2023. "The Credibility of Physician Rating Websites: A Systematic Literature Review," Health Policy, Elsevier, vol. 132(C).
    18. Attema, Arthur E. & Galizzi, Matteo M. & Groß, Mona & Hennig-Schmidt, Heike & Karay, Yassin & L’Haridon, Olivier & Wiesen, Daniel, 2023. "The formation of physician altruism," Journal of Health Economics, Elsevier, vol. 87(C).
    19. Karl Taeuscher, 2019. "Uncertainty kills the long tail: demand concentration in peer-to-peer marketplaces," Electronic Markets, Springer;IIM University of St. Gallen, vol. 29(4), pages 649-660, December.
    20. Fulai Gu & Xiaobing Liu & Lian Qi & Xiaowei Xu & Zheng Zeng, 2021. "Financial and social impacts of drug price changes: Evidence from 2017 healthcare reform in Liaoning Province, China," International Journal of Health Planning and Management, Wiley Blackwell, vol. 36(6), pages 2215-2230, November.

    More about this item

    Keywords

    Credence goods; expert behavior; ratings; feedback; laboratory experiment;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • I11 - Health, Education, and Welfare - - Health - - - Analysis of Health Care Markets
    • L15 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Information and Product Quality

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:inn:wpaper:2025-03. 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: Judith Courian The email address of this maintainer does not seem to be valid anymore. Please ask Judith Courian to update the entry or send us the correct address (email available below). General contact details of provider: https://edirc.repec.org/data/fuibkat.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.