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The Impact of Distributional Preferences on (Experimental) Markets for Expert Services

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  • Kerschbamer, Rudolf

    (University of Innsbruck)

  • Sutter, Matthias

    (Max Planck Institute for Research on Collective Goods)

  • Dulleck, Uwe

    (Queensland University of Technology)

Abstract

Credence goods markets suffer from inefficiencies arising from informational asymmetries between expert sellers and customers. While standard theory predicts that inefficiencies disappear if customers can verify the quality received, verifiability fails to yield efficiency in experiments with endogenous prices. We identify heterogeneous distributional preferences as the main cause and design a parsimonious experiment with exogenous prices that allows classifying experts as either selfish, efficiency loving, inequality averse, inequality loving or competitive. Results show that most subjects exhibit non-standard distributional preferences, among which efficiency-loving and inequality aversion are most frequent. We discuss implications for institutional design and agent selection in credence goods markets.

Suggested Citation

  • Kerschbamer, Rudolf & Sutter, Matthias & Dulleck, Uwe, 2009. "The Impact of Distributional Preferences on (Experimental) Markets for Expert Services," IZA Discussion Papers 4647, Institute of Labor Economics (IZA).
    • Handle: RePEc:iza:izadps:dp4647
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    References listed on IDEAS

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    1. Winand Emons, 1997. "Credence Goods and Fraudelent Experts," RAND Journal of Economics, The RAND Corporation, vol. 28(1), pages 107-119, Spring.
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    14. Rudolf Kerschbamer & Matthias Sutter & Uwe Dulleck, 2009. "The Impact of Distributional Preferences on (Experimental) Markets for Expert Services," Working Papers 2009-28, Faculty of Economics and Statistics, Universität Innsbruck.
    15. Uwe Dulleck & Rudolf Kerschbamer & Matthias Sutter, 2009. "The Economics of Credence Goods: On the Role of Liability, Verifiability, Reputation and Competition," Working Papers 2009-03, Faculty of Economics and Statistics, Universität Innsbruck.
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    Cited by:

    1. Beck, Adrian & Kerschbamer, Rudolf & Qiu, Jianying & Sutter, Matthias, 2014. "Car mechanics in the lab––Investigating the behavior of real experts on experimental markets for credence goods," Journal of Economic Behavior & Organization, Elsevier, vol. 108(C), pages 166-173.
    2. Dulleck, Uwe & Johnston, David W. & Kerschbamer, Rudolf & Sutter, Matthias, 2012. "The Good, the Bad and the Naive: Do Fair Prices Signal Good Types or Do They Induce Good Behaviour?," IZA Discussion Papers 6491, Institute of Labor Economics (IZA).
    3. Loukas Balafoutas & Adrian Beck & Rudolf Kerschbamer & Matthias Sutter, 2013. "What Drives Taxi Drivers? A Field Experiment on Fraud in a Market for Credence Goods," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 80(3), pages 876-891.
    4. Dominik Erharter, 2012. "Credence goods markets, distributional preferences and the role of institutions," Working Papers 2012-11, Faculty of Economics and Statistics, Universität Innsbruck.
    5. Conrads, Julian & Ebeling, Felix & Lotz, Sebastian, 2015. "(Dis-)honesty: Measuring overcharging in a real-world market," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 57(C), pages 98-102.
    6. Uwe Dulleck & Rudolf Kerschbamer & Matthias Sutter, 2011. "The Economics of Credence Goods: An Experiment on the Role of Liability, Verifiability, Reputation, and Competition," American Economic Review, American Economic Association, vol. 101(2), pages 526-555, April.
    7. Rudolf Kerschbamer & Matthias Sutter & Uwe Dulleck, 2009. "The Impact of Distributional Preferences on (Experimental) Markets for Expert Services," Working Papers 2009-28, Faculty of Economics and Statistics, Universität Innsbruck.

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    More about this item

    Keywords

    distributional preferences; credence goods; verifiability; experiment;
    All these keywords.

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design

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