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Incentives to Persevere

Author

Listed:
  • Elif Incekara-Hafalir

    (University of Technology Sydney)

  • Grace HY Lee

    (Monash University (Malaysia))

  • Audrey KL Siah

    (Monash University (Malaysia))

  • Erte Xiao

    (Monash University)

Abstract

Achieving success often requires persistent efforts. We study the effectiveness of two reward mechanisms, all-or-nothing and piece-rate, to incentivize full completion of repeated tasks over a period of time. Data from two randomized controlled trials show that the full completion rate under the all-or-nothing mechanism does not differ from that under the regular piece-rate mechanism. However, when given the choice between the all-or-nothing and piece-rate mechanisms in a third (self-select) treatment, a significant number of participants chose the all-or-nothing mechanism despite the risk. The overall full completion rate is significantly higher in the self select treatment than the piece-rate treatment. Our results highlight the importance of choice in incentivising persistent efforts.

Suggested Citation

  • Elif Incekara-Hafalir & Grace HY Lee & Audrey KL Siah & Erte Xiao, 2019. "Incentives to Persevere," Working Paper Series 2019/06, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
  • Handle: RePEc:uts:ecowps:2019/06
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    References listed on IDEAS

    as
    1. Roland G. Fryer, 2011. "Financial Incentives and Student Achievement: Evidence from Randomized Trials," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 126(4), pages 1755-1798.
    2. David K. Levine & Drew Fudenberg, 2006. "A Dual-Self Model of Impulse Control," American Economic Review, American Economic Association, vol. 96(5), pages 1449-1476, December.
    3. 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.
    4. Almlund, Mathilde & Duckworth, Angela Lee & Heckman, James & Kautz, Tim, 2011. "Personality Psychology and Economics," Handbook of the Economics of Education, in: Erik Hanushek & Stephen Machin & Ludger Woessmann (ed.), Handbook of the Economics of Education, edition 1, volume 4, chapter 0, pages 1-181, Elsevier.
    5. Katherine L. Milkman & Julia A. Minson & Kevin G. M. Volpp, 2014. "Holding the Hunger Games Hostage at the Gym: An Evaluation of Temptation Bundling," Management Science, INFORMS, vol. 60(2), pages 283-299, February.
    6. Beattie, Graham & Laliberté, Jean-William P. & Oreopoulos, Philip, 2018. "Thrivers and divers: Using non-academic measures to predict college success and failure," Economics of Education Review, Elsevier, vol. 62(C), pages 170-182.
    7. Benhabib, Jess & Bisin, Alberto, 2005. "Modeling internal commitment mechanisms and self-control: A neuroeconomics approach to consumption-saving decisions," Games and Economic Behavior, Elsevier, vol. 52(2), pages 460-492, August.
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    More about this item

    Keywords

    Perseverance; incentives; self-control; field experiments;
    All these keywords.

    JEL classification:

    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making

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