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Asymmetrically Dominated Choice Problems, the Isolation Hypothesis and Random Incentive Mechanisms

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  • Cox, James C.
  • Sadiraj, Vjollca
  • Schmidt, Ulrich

Abstract

This paper presents an experimental study of the random incentive mechanisms which are a standard procedure in economic and psychological experiments. Random incentive mechanisms have several advantages but are incentive-compatible only if responses to the single tasks are independent. This is true if either the independence axiom of expected utility theory or the isolation hypothesis of prospect theory holds. We present a simple test of isolation in the context of choice under risk. In the baseline (one task) treatment, we observe risk behavior in a given decision problem. We show that by adding an asymmetrically dominated choice problem in a random incentive mechanism risk behavior can be manipulated systematically; this violates the isolation hypothesis. The random incentive mechanism thus does not elicit true preferences in our example.

Suggested Citation

  • Cox, James C. & Sadiraj, Vjollca & Schmidt, Ulrich, 2014. "Asymmetrically Dominated Choice Problems, the Isolation Hypothesis and Random Incentive Mechanisms," MPRA Paper 54722, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:54722
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    Cited by:

    1. Galliera, Arianna, 2018. "Self-selecting random or cumulative pay? A bargaining experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 72(C), pages 106-120.
    2. Yaron Azrieli & Christopher P. Chambers & Paul J. Healy, 2020. "Incentives in experiments with objective lotteries," Experimental Economics, Springer;Economic Science Association, vol. 23(1), pages 1-29, March.
    3. James Cox & Vjollca Sadiraj & Ulrich Schmidt, 2015. "Paradoxes and mechanisms for choice under risk," Experimental Economics, Springer;Economic Science Association, vol. 18(2), pages 215-250, June.
    4. Noemí Herranz-Zarzoso & Gerardo Sabater-Grande, 2018. "Framing and repetition effects on risky choices: A behavioral approach," Working Papers 2018/04, Economics Department, Universitat Jaume I, Castellón (Spain).
    5. James C. Cox & Eike B. Kroll & Marcel Lichters & Vjollca Sadiraj & Bodo Vogt, 2019. "The St. Petersburg paradox despite risk-seeking preferences: an experimental study," Business Research, Springer;German Academic Association for Business Research, vol. 12(1), pages 27-44, April.
    6. Aurélien Baillon & Yoram Halevy & Chen Li, 2022. "Randomize at Your Own Risk: On the Observability of Ambiguity Aversion," Econometrica, Econometric Society, vol. 90(3), pages 1085-1107, May.
    7. Ulrich Schmidt & Christian Seidl, 2014. "Reconsidering the common ratio effect: the roles of compound independence, reduction, and coalescing," Theory and Decision, Springer, vol. 77(3), pages 323-339, October.
    8. David J. Freeman & Guy Mayraz, 2019. "Why choice lists increase risk taking," Experimental Economics, Springer;Economic Science Association, vol. 22(1), pages 131-154, March.
    9. Hajimoladarvish, Narges, 2018. "How do people reduce compound lotteries?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 75(C), pages 126-133.
    10. Jan Hausfeld & Sven Resnjanskij, 2017. "Risky Decisions and the Opportunity Costs of Time," TWI Research Paper Series 108, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    11. James C. Cox & Vjollca Sadiraj, 2018. "Incentives," Experimental Economics Center Working Paper Series 2018-01, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
    12. Yaron Azrieli & Christopher P. Chambers & Paul J. Healy, 2018. "Incentives in Experiments: A Theoretical Analysis," Journal of Political Economy, University of Chicago Press, vol. 126(4), pages 1472-1503.
    13. Banerjee, Priyodorshi & Das, Tanmoy, 2019. "Simultaneous decisions under risk: An experimental investigation," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 82(C).
    14. Brown, Alexander L. & Healy, Paul J., 2018. "Separated decisions," European Economic Review, Elsevier, vol. 101(C), pages 20-34.
    15. Florian H. Schneider & Martin Schonger, 2019. "An Experimental Test of the Anscombe–Aumann Monotonicity Axiom," Management Science, INFORMS, vol. 65(4), pages 1667-1677, April.
    16. Cathleen Johnson & Aurélien Baillon & Han Bleichrodt & Zhihua Li & Dennie Dolder & Peter P. Wakker, 2021. "Prince: An improved method for measuring incentivized preferences," Journal of Risk and Uncertainty, Springer, vol. 62(1), pages 1-28, February.
    17. Herranz-Zarzoso, Noemí & Sabater-Grande, Gerardo & Jaramillo-Gutiérrez, Ainhoa, 2020. "Framing and repetition effects on risky choices: A behavioural approach," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 84(C).
    18. Arianna Galliera & Noemi Pace, 2015. "To Switch or Not to Switch Payment Scheme? Determinants and Effects in a Bargaining Game," Working Papers 2015:33, Department of Economics, University of Venice "Ca' Foscari".

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    More about this item

    Keywords

    random incentive mechanism; isolation; asymmetrically dominated alternatives;
    All these keywords.

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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