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No group differences in Traditional Economics Measures of loss aversion and framing effects in bipolar I disorder

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  • Zachary Anderson
  • Kim Fairley
  • Cynthia M Villanueva
  • R McKell Carter
  • June Gruber

Abstract

Bipolar disorder (BD) is associated with impaired decision making, yet few studies have adopted paradigms from behavioral economics to decompose which, if any, aspects of decision making may be impacted. This may be particularly relevant for decision-making processes relevant to known difficulties with emotive dysfunction and corresponding reward dysregulation in BD. Participants with bipolar I disorder (BD; n = 44) and non-psychiatric healthy controls (CTL; n = 28) completed three well-validated behavioral economics decision making tasks via a remote-based survey, including loss aversion and framing effects, that examined sensitivity to probabilities and potential gains and losses in monetary and non-monetary domains. Consistent with past work, we found evidence of moderate loss aversion and framing effects across all participants. No group differences were found in any of the measures of loss aversion or framing effects. We report no group differences between bipolar and non-psychiatric groups with respect to loss aversion and framing effects using a remote-based survey approach. These results provide a framework future studies to explore similar tasks in clinical populations and suggest the context and degree to which decision making is altered in BD may be rooted in a more complex cognitive mechanism that warrants future research.

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  • Zachary Anderson & Kim Fairley & Cynthia M Villanueva & R McKell Carter & June Gruber, 2021. "No group differences in Traditional Economics Measures of loss aversion and framing effects in bipolar I disorder," PLOS ONE, Public Library of Science, vol. 16(11), pages 1-17, November.
  • Handle: RePEc:plo:pone00:0258360
    DOI: 10.1371/journal.pone.0258360
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    References listed on IDEAS

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    1. Amos Tversky & Daniel Kahneman, 1991. "Loss Aversion in Riskless Choice: A Reference-Dependent Model," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 106(4), pages 1039-1061.
    2. Ernst Fehr & Lorenz Goette, 2007. "Do Workers Work More if Wages Are High? Evidence from a Randomized Field Experiment," American Economic Review, American Economic Association, vol. 97(1), pages 298-317, March.
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