The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
What Motivates Effort? Evidence and Expert Forecasts
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.
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Cites
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Behavioral development economics
Kremer, M., Rao, G., & Schilbach, F. (2019) · Handbook of Behavioral Economics: Applications and Foundations 1 · doi:10.1016/bs.hesbe.2018.12.002 · Cited by 188
Crowdsourcing hypothesis tests: Making transparent how design choices shape research results.
Landy, J. F., Jia, M. (., Ding, I. L., Viganola, D., Tierney, W., Dreber, A., Johannesson, M., Pfeiffer, T., Ebersole, C. R., Gronau, Q. F., et al. (2020) · Psychological Bulletin · doi:10.1037/bul0000220 · Cited by 168
Achievement Gaps in the Wake of COVID-19
Bailey, D. H., Duncan, G. J., Murnane, R. J., & Au Yeung, N. (2021) · Educational Researcher · doi:10.3102/0013189x211011237 · Cited by 134
The Economic Consequences of Increasing Sleep Among the Urban Poor
Bessone, P., Rao, G., Schilbach, F., Schofield, H., & Toma, M. (2020) · doi:10.3386/w26746 · Cited by 26
Apascaritei, P., Demel, S., & Radl, J. (2021) · American Behavioral Scientist · doi:10.1177/0002764221996772 · Cited by 13
Metadata
- Authors
- DellaVigna, S., & Pope, D.
- Venue
- The Review of Economic Studies
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-06-05
- Volume
- 85
- Issue
- 2
- Pages
- 1029-1069
- ISSN
- 0034-6527 (ISSN-L)
- 1467-937X
- OpenAlex
- W2346258676
- Cited by
- 392
- References
- 17
- FWCI
- 89.66
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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