IDEAS home Printed from https://ideas.repec.org/p/apl/wpaper/12-06.html
   My bibliography  Save this paper

The Effects of Moderate Exercise on Bayesian Choices

Author

Listed:
  • David L. Dickinson
  • Scott R. Collier

Abstract

Exercise is known to improve health along many dimensions. Decision making is an understudied dimension of one’s (behavioral) health where exercise effects are not well-known. Because certain physiological changes are known to impact decision making, exercise may modulate decisions via its effect on physiological or psychological variables. We examine how moderate aerobic exercise affects outcomes and the decision process in an incentivized Bayesian choice task. Twenty-six adult subjects (30-60 years old, 14 female) are administered the decision task under both exercise and no-exercise conditions. Our results indicate that the estimated decision model changes post-exercise such that exercise increases the decision weight subjects place on new evidence in making their choices. This same effect is found among those with higher fitness levels, which is a long-term result of regular exercise, but both of these effects appear gender-specific. Accuracy of choice, however, is not significantly affected by the exercise treatment. The fact that exercise leads to a shift in relative decision weights on evidence compared to base rate information is important in terms of identifying when exercise and/or fitness may lead to improved versus harmed decision making in more complex environments. Key Words: Experiments, Exercise, Health, Bayesian Choice

Suggested Citation

  • David L. Dickinson & Scott R. Collier, 2012. "The Effects of Moderate Exercise on Bayesian Choices," Working Papers 12-06, Department of Economics, Appalachian State University.
  • Handle: RePEc:apl:wpaper:12-06
    as

    Download full text from publisher

    File URL: http://econ.appstate.edu/RePEc/pdf/wp1206.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. David M. Grether, 1980. "Bayes Rule as a Descriptive Model: The Representativeness Heuristic," The Quarterly Journal of Economics, Oxford University Press, vol. 95(3), pages 537-557.
    2. Hsieh, Chee-Ruey & Yen, Lee-Lan & Liu, Jin-Tan & Chyongchiou Jeng Lin, 1996. "Smoking, health knowledge, and anti-smoking campaigns: An empirical study in Taiwan," Journal of Health Economics, Elsevier, vol. 15(1), pages 87-104, February.
    3. Chern, Wen S & Loehman, Edna T & Yen, Steven T, 1995. "Information, Health Risk Beliefs, and the Demand for Fats and Oils," The Review of Economics and Statistics, MIT Press, vol. 77(3), pages 555-564, August.
    4. Lundborg, Petter & Andersson, Henrik, 2008. "Gender, risk perceptions, and smoking behavior," Journal of Health Economics, Elsevier, vol. 27(5), pages 1299-1311, September.
    5. Viscusi, W Kip & O'Connor, Charles J, 1984. "Adaptive Responses to Chemical Labeling: Are Workers Bayesian Decision Makers?," American Economic Review, American Economic Association, vol. 74(5), pages 942-956, December.
    Full references (including those not matched with items on IDEAS)

    More about this item

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:apl:wpaper:12-06. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (O. Ashton Morgan). General contact details of provider: http://edirc.repec.org/data/deappus.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.