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On the provision of incentives in finance experiments

Author

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  • Daniel Kleinlercher

    (Innsbruck University)

  • Thomas Stöckl

    (MCI - Management Center Innsbruck, Department Business Administration Online)

Abstract

Monetary incentives are a procedural pillar in experimental economics. By applying four distinct monetary incentive schemes in three experimental finance applications, we investigate the impact of an incentive scheme’s salience on results and elicit subjects’ perception of the experienced scheme. We find (1) no differences in results between salient schemes but a significant impact if the incentive scheme is non-salient. (2) The number of previous participations has a significant impact on the perception of the incentive scheme by subjects: it strongly correlates with subjects’ motives for participation, positively contributes to subjects’ understanding of the incentive scheme, but has no influence on subjects’ motivation within the experiment. (3) Subjects favor more salient over less- or non-salient schemes in the gain domain and negatively evaluate high salience in the loss domain.

Suggested Citation

  • Daniel Kleinlercher & Thomas Stöckl, 2018. "On the provision of incentives in finance experiments," Experimental Economics, Springer;Economic Science Association, vol. 21(1), pages 154-179, March.
  • Handle: RePEc:kap:expeco:v:21:y:2018:i:1:d:10.1007_s10683-017-9530-7
    DOI: 10.1007/s10683-017-9530-7
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    References listed on IDEAS

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    1. Plott, Charles R & Sunder, Shyam, 1988. "Rational Expectations and the Aggregation of Diverse Information in Laboratory Security Markets," Econometrica, Econometric Society, vol. 56(5), pages 1085-1118, September.
    2. Michael Kirchler & Florian Lindner & Utz Weitzel, 2018. "Rankings and Risk‐Taking in the Finance Industry," Journal of Finance, American Finance Association, vol. 73(5), pages 2271-2302, October.
    3. Smith, Vernon L, 1982. "Microeconomic Systems as an Experimental Science," American Economic Review, American Economic Association, vol. 72(5), pages 923-955, December.
    4. Charness, Gary & Gneezy, Uri & Halladay, Brianna, 2016. "Experimental methods: Pay one or pay all," Journal of Economic Behavior & Organization, Elsevier, vol. 131(PA), pages 141-150.
    5. Christian Ehm & Christine Kaufmann & Martin Weber, 2014. "Volatility Inadaptability: Investors Care About Risk, but Cannot Cope with Volatility," Review of Finance, European Finance Association, vol. 18(4), pages 1387-1423.
    6. Smith, Vernon L & Suchanek, Gerry L & Williams, Arlington W, 1988. "Bubbles, Crashes, and Endogenous Expectations in Experimental Spot Asset Markets," Econometrica, Econometric Society, vol. 56(5), pages 1119-1151, September.
    7. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    8. Charles N. Noussair & Steven Tucker, 2016. "Cash Inflows And Bubbles In Asset Markets With Constant Fundamental Values," Economic Inquiry, Western Economic Association International, vol. 54(3), pages 1596-1606, July.
    9. Thomas Stöckl & Jürgen Huber & Michael Kirchler, 2010. "Bubble measures in experimental asset markets," Experimental Economics, Springer;Economic Science Association, vol. 13(3), pages 284-298, September.
    10. Kleinlercher, Daniel & Huber, Jürgen & Kirchler, Michael, 2014. "The impact of different incentive schemes on asset prices," European Economic Review, Elsevier, vol. 68(C), pages 137-150.
    11. Holmen, Martin & Kirchler, Michael & Kleinlercher, Daniel, 2014. "Do option-like incentives induce overvaluation? Evidence from experimental asset markets," Journal of Economic Dynamics and Control, Elsevier, vol. 40(C), pages 179-194.
    12. Bock, Olaf & Baetge, Ingmar & Nicklisch, Andreas, 2014. "hroot: Hamburg Registration and Organization Online Tool," European Economic Review, Elsevier, vol. 71(C), pages 117-120.
    13. Michael Kirchler & Jurgen Huber & Thomas Stockl, 2012. "Thar She Bursts: Reducing Confusion Reduces Bubbles," American Economic Review, American Economic Association, vol. 102(2), pages 865-883, April.
    14. Stefan Palan, 2013. "A Review Of Bubbles And Crashes In Experimental Asset Markets," Journal of Economic Surveys, Wiley Blackwell, vol. 27(3), pages 570-588, July.
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    Cited by:

    1. Schitter, Christian & Fleiß, Jürgen & Palan, Stefan, 2019. "To claim or not to claim: Anonymity, symmetric externalities and honesty," Journal of Economic Psychology, Elsevier, vol. 71(C), pages 13-36.

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    More about this item

    Keywords

    Experimental finance; Incentives; Salience; Asset market; Mispricing; Information aggregation; Investment decision;
    All these keywords.

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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