A note on optimal experimentation under risk aversion
R Keller (),
Vladimír Novák () and
Journal of Economic Theory, 2019, vol. 179, issue C, 476-487
In a standard two-armed bandit setup, this paper shows – counterintuitively – that a more risk-averse decision maker might be more willing to take risky actions. The reason relates to the fact that pulling the risky arm in bandit models produces information on the environment – thereby reducing the risk that a decision maker will face in the future. This finding gives reason for caution when inferring risk preferences from observed actions: in a bandit setup, observing a greater appetite for risky actions can actually be indicative of more risk aversion, not less.
Keywords: Experimentation; Learning; Risk aversion (search for similar items in EconPapers)
JEL-codes: D81 D83 (search for similar items in EconPapers)
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Working Paper: A Note on Optimal Experimentation under Risk Aversion (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:jetheo:v:179:y:2019:i:c:p:476-487
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