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Asymmetrically Dominated Choice Problems and Random Incentive Mechanisms

Author

Listed:
  • James C. Cox
  • Vjollca Sadiraj
  • Ulrich Schmidt

Abstract

A common methodology in experimental research is the use of random incentive mechanisms. This note investigates possible distortion induced by such mechanisms in the context of choice under risk. In the baseline (one task) treatment of our experiment we observe risk behavior in a given choice problem. We show that by integrating a second, asymmetrically dominated choice problem in a random incentive mechanism behavior can be systematically manipulated. This implies that the isolation hypothesis is violated and the random incentive mechanism does not elicit true preferences in our example.

Suggested Citation

  • James C. Cox & Vjollca Sadiraj & Ulrich Schmidt, 2012. "Asymmetrically Dominated Choice Problems and Random Incentive Mechanisms," Experimental Economics Center Working Paper Series 2012-10, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University, revised Mar 2014.
  • Handle: RePEc:exc:wpaper:2012-10
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    File URL: http://excen.gsu.edu/workingpapers/GSU_EXCEN_WP_2012-10.pdf
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    File URL: http://excen.gsu.edu/workingpapers/GSU_EXCEN_WP_2014-02.pdf
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    References listed on IDEAS

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    1. Huber, Joel & Payne, John W & Puto, Christopher, 1982. "Adding Asymmetrically Dominated Alternatives: Violations of Regularity and the Similarity Hypothesis," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(1), pages 90-98, June.
    2. Holt, Charles A, 1986. "Preference Reversals and the Independence Axiom," American Economic Review, American Economic Association, vol. 76(3), pages 508-515, June.
    3. Kahneman, Daniel & Tversky, Amos, 1979. "Prospect Theory: An Analysis of Decision under Risk," Econometrica, Econometric Society, vol. 47(2), pages 263-291, March.
    4. Charles A. Holt & Susan K. Laury, 2002. "Risk Aversion and Incentive Effects," American Economic Review, American Economic Association, vol. 92(5), pages 1644-1655, December.
    5. Starmer, Chris & Sugden, Robert, 1991. "Does the Random-Lottery Incentive System Elicit True Preferences? An Experimental Investigation," American Economic Review, American Economic Association, vol. 81(4), pages 971-978, September.
    6. Conlisk, John, 1989. "Three Variants on the Allais Example," American Economic Review, American Economic Association, vol. 79(3), pages 392-407, June.
    7. Glenn W. Harrison & J. Todd Swarthout, 2012. "The Independence Axiom and the Bipolar Behaviorist," Experimental Economics Center Working Paper Series 2012-01, Experimental Economics Center, Andrew Young School of Policy Studies, Georgia State University.
    Full references (including those not matched with items on IDEAS)

    Citations

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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. 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.
    8. 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.
    9. Jan Hausfeld & Sven Resnjanskij, 2017. "Risky Decisions and the Opportunity Costs of Time," TWI Research Paper Series 108, Thurgauer Wirtschaftsinstitut, Universität Konstanz.
    10. 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.
    11. 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.
    12. 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.
    13. 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).
    14. 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:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty

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