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The Influence of Dietary Patterns on Outcomes in a Bayesian Choice Task

David Dickinson and Caleb Garbuio ()
Additional contact information
Caleb Garbuio: Appalachian State University

No 14070, IZA Discussion Papers from Institute of Labor Economics (IZA)

Abstract: This paper reports on a preregistered study aimed at testing for executive function differences across individuals who self-reported one of four distinct dietary patterns: No Diet, No Sugar, Vegetarian, and Mediterranean Diet patterns. The incentivized decision task involves Bayesian assessments where participants may use existing (base rate) as well as new information (sample draw evidence) in making probability assessments. Sample size, hypotheses, and analysis plans were all determined ex ante and registered on the Open Science Framework. Our hypotheses were aimed at testing whether adherence to a specialty diet improved decision making relative to those who reported following No Diet. Our data fail to support these hypotheses. In fact, we found some evidence that adherence to a No Sugar Diet predicted a reduced decision accuracy and was connected to an increased imbalance in how the participant weighted the two sources of information available. Our results suggest that decision making is nuanced among dietary groups, but that short-term incentivized decisions in an ecologically valid field setting are likely not improved solely by following a promoted diet such as the Mediterranean or Vegetarian diet.

Keywords: decision making; bayes rule; behavioral economics; dietary patterns; mediterranean diet (search for similar items in EconPapers)
JEL-codes: C90 D90 I10 (search for similar items in EconPapers)
Pages: 40 pages
Date: 2021-01
New Economics Papers: this item is included in nep-exp and nep-neu
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Published - revised version published in: Health Science Reports , 2021, 4 (3), e369

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Working Paper: The Influence of Dietary Patterns on Outcomes in a Bayesian Choice Task (2020) Downloads
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