Replication: Belief elicitation with quadratic and binarized scoring rules
Nisvan Erkal,
Lata Gangadharan () and
Boon Han Koh
Journal of Economic Psychology, 2020, vol. 81, issue C
Abstract:
Researchers increasingly elicit beliefs to understand the underlying motivations of decision makers. Two commonly used methods are the quadratic scoring rule (QSR) and the binarized scoring rule (BSR). Hossain and Okui (2013) use a within-subject design to evaluate the performance of these two methods in an environment where subjects report probabilistic beliefs over binary outcomes with objective probabilities. In a near replication of their study, we show that their results continue to hold with a between-subject design. This is an important validation of the BSR given that researchers typically implement only one method to elicit beliefs. In favor of the BSR, reported beliefs are less accurate under the QSR than the BSR. Consistent with theoretical predictions, risk-averse subjects distort their reported beliefs under the QSR.
Keywords: Belief elicitation; Risk preferences; Experimental methodology; Scoring rules; Prediction accuracy (search for similar items in EconPapers)
JEL-codes: C91 D81 D83 (search for similar items in EconPapers)
Date: 2020
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Citations: View citations in EconPapers (17)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:joepsy:v:81:y:2020:i:c:s0167487020300763
DOI: 10.1016/j.joep.2020.102315
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