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What Motivates Effort? Evidence and Expert Forecasts

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  • Stefano DellaVigna
  • Devin Pope

Abstract

How much do different monetary and non-monetary motivators induce costly effort? Does the effectiveness line up with the expectations of researchers and with results in the literature? We conduct a large-scale real-effort experiment with eighteen treatment arms. We examine the effect of (1) standard incentives; (2) behavioural factors like social preferences and reference dependence; and (3) non-monetary inducements from psychology. We find that (1) monetary incentives work largely as expected, including a very low piece rate treatment which does not crowd out effort; (2) the evidence is partly consistent with standard behavioural models, including warm glow, though we do not find evidence of probability weighting; (3) the psychological motivators are effective, but less so than incentives. We then compare the results to forecasts by 208 academic experts. On average, the experts anticipate several key features, like the effectiveness of psychological motivators. A sizeable share of experts, however, expects crowd-out, probability weighting, and pure altruism, counterfactually. As a further comparison, we present a meta-analysis of similar treatments in the literature. Overall, predictions based on the literature are correlated with, but underperform, the expert forecasts.

Suggested Citation

  • Stefano DellaVigna & Devin Pope, 2018. "What Motivates Effort? Evidence and Expert Forecasts," Review of Economic Studies, Oxford University Press, vol. 85(2), pages 1029-1069.
  • Handle: RePEc:oup:restud:v:85:y:2018:i:2:p:1029-1069.
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    File URL: http://hdl.handle.net/10.1093/restud/rdx033
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    More about this item

    Keywords

    Behavioural Economics; Experts; Real effort; Crowd-out; Charity; Probability weighting;
    All these keywords.

    JEL classification:

    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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