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Advanced counter-biasing

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  • Benscheidt, Kevin
  • Carpenter, Jeffrey

Abstract

Viewed through the lens of the prominent two-system model of decision making, much of behavioral economics is seen as studying the tension between impulses (System 1) and rationality (System 2). In this context, two strategies, “de-biasing,” informing agents of their biases and “counter-biasing,” using “nudges” to activate biases to positively influence choice, have improved the welfare of behavioral agents. We advance the notion of counter-biasing by demonstrating that one bias (present bias) can be pit against another (choking at high stakes) to counteract the ill effects of the second. Our results demonstrate the potential of counter-biasing as an effective policy tool.

Suggested Citation

  • Benscheidt, Kevin & Carpenter, Jeffrey, 2020. "Advanced counter-biasing," Journal of Economic Behavior & Organization, Elsevier, vol. 177(C), pages 1-18.
    • Handle: RePEc:eee:jeborg:v:177:y:2020:i:c:p:1-18
    DOI: 10.1016/j.jebo.2020.05.019
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    References listed on IDEAS

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    1. Richard H. Thaler & Shlomo Benartzi, 2004. "Save More Tomorrow (TM): Using Behavioral Economics to Increase Employee Saving," Journal of Political Economy, University of Chicago Press, vol. 112(S1), pages 164-187, February.
    2. Steven D. Levitt & John A. List & Susanne Neckermann & Sally Sadoff, 2016. "The Behavioralist Goes to School: Leveraging Behavioral Economics to Improve Educational Performance," American Economic Journal: Economic Policy, American Economic Association, vol. 8(4), pages 183-219, November.
    3. Brigitte C. Madrian & Dennis F. Shea, 2001. "The Power of Suggestion: Inertia in 401(k) Participation and Savings Behavior," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 116(4), pages 1149-1187.
    4. David Laibson, 1997. "Golden Eggs and Hyperbolic Discounting," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 112(2), pages 443-478.
    5. Dan Ariely & Uri Gneezy & George Loewenstein & Nina Mazar, 2009. "Large Stakes and Big Mistakes," Review of Economic Studies, Oxford University Press, vol. 76(2), pages 451-469.
    6. Gregory Besharov, 2004. "Second-Best Considerations in Correcting Cognitive Biases," Southern Economic Journal, John Wiley & Sons, vol. 71(1), pages 12-20, July.
    7. Daniel Kahneman & Dan Lovallo, 1993. "Timid Choices and Bold Forecasts: A Cognitive Perspective on Risk Taking," Management Science, INFORMS, vol. 39(1), pages 17-31, January.
    8. Saurabh Bansal & Yaroslav Rosokha, 2018. "Impact of Compound and Reduced Specification on Valuation of Projects with Multiple Risks," Decision Analysis, INFORMS, vol. 15(1), pages 27-46, March.
    9. Sanders, Shane & Walia, Bhavneet, 2012. "Shirking and “choking” under incentive-based pressure: A behavioral economic theory of performance production," Economics Letters, Elsevier, vol. 116(3), pages 363-366.
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    More about this item

    Keywords

    Behavioral economics; Counter-biasing; Present bias; Choking; Experiment;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • M52 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - Compensation and Compensation Methods and Their Effects

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