Minimizing Learning in Repeated Real-Effort Tasks
Benndorf V, Rau HA, Sölch C (2019)
Publication Language: English
Publication Status: Accepted
Publication Type: Journal article, Original article
Future Publication Type: Journal article
Publication year: 2019
Journal
Book Volume: 22
Pages Range: 239 - 248
DOI: 10.1016/j.jbef.2019.04.002
Abstract
In this paper, we introduce a new real-effort task which mitigates learning behavior in repeated real-effort tasks. In our task, participants need to encode three-letter words into numbers. The task is based on Erkral et al. (2011), however, in our version a double-randomization mechanism is applied to minimize learning. Existing experiments using repeated real-effort tasks report an increase of 15-30% in subjects' performance in the course of the experiment. By contrast, we find that when comparing performance in the first period with the last period, our task mitigates learning behavior down to 8%. The difference between the first and second half of the experiment is only about 3%.
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Involved external institutions
Germany (DE)How to cite
APA:
Benndorf, V., Rau, H.A., & Sölch, C. (2019). Minimizing Learning in Repeated Real-Effort Tasks. Journal of Behavioral and Experimental Finance, 22, 239 - 248. https://doi.org/10.1016/j.jbef.2019.04.002
MLA:
Benndorf, Volker, Holger Andreas Rau, and Christian Sölch. "Minimizing Learning in Repeated Real-Effort Tasks." Journal of Behavioral and Experimental Finance 22 (2019): 239 - 248.
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