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The Effect of Incentives on Real Effort: Evidence from the Slider Task

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  • Lise Vesterlund

Abstract

Real-effort experiments are frequently used when examining a response to incentives.For any particular real-effort task to be well-suited for such an exercise subjects’ cost for exertingeffort must result in an interior effort choice. The popular slider task in Gill and Prowse (2012)has been characterized as satisfying this requirement, and the task has been increasingly used to investigatethe response to changes in both monetary and non-monetary incentives. However, despiteits increasing use, a simple between-subject examination of the slider task’s response to incentiveshas not been conducted. We provide such an examination with three different piece-rate incentives:half a cent, two cents, and eight cents per slider completed. We find that participants in the threetreatments completed on average 26.1, 26.6 and 27.3 sliders per round, respectively. The one-sliderincrease in observed performance is small, not only relative to the sixteen-fold increase in the incentives,but also relative to the observed heterogeneity across subjects, rates of learning, and evenidiosyncratic variation. Our paper cautions that the slider task will be underpowered for uncoveringa response to incentives in between-subject designs.

Suggested Citation

  • Lise Vesterlund, 2015. "The Effect of Incentives on Real Effort: Evidence from the Slider Task," Working Paper 5661, Department of Economics, University of Pittsburgh.
  • Handle: RePEc:pit:wpaper:5661
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    Cited by:

    1. Kai Barron & Christina Gravert, 2022. "Confidence and Career Choices: An Experiment," Scandinavian Journal of Economics, Wiley Blackwell, vol. 124(1), pages 35-68, January.
    2. Alex Imas & Sally Sadoff & Anya Samek, 2017. "Do People Anticipate Loss Aversion?," Management Science, INFORMS, vol. 63(5), pages 1271-1284, May.
    3. Simon Gächter & Lingbo Huang & Martin Sefton, 2016. "Combining “real effort” with induced effort costs: the ball-catching task," Experimental Economics, Springer;Economic Science Association, vol. 19(4), pages 687-712, December.
    4. Barron, Kai & Gravert, Christina, 2018. "Beliefs and actions: How a shift in confidence affects choices," MPRA Paper 84743, University Library of Munich, Germany.
    5. Gill, David & Prowse, Victoria, 2019. "Measuring costly effort using the slider task," Journal of Behavioral and Experimental Finance, Elsevier, vol. 21(C), pages 1-9.
    6. Laura K. Gee & Marco Migueis & Sahar Parsa, 2017. "Redistributive choices and increasing income inequality: experimental evidence for income as a signal of deservingness," Experimental Economics, Springer;Economic Science Association, vol. 20(4), pages 894-923, December.

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    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior

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