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Dynamic Optimization and Conformity in Health Behavior and Life Enjoyment over the Life Cycle

Author

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  • Hernán Bejarano

    (Economic Science Institute, Chapman University, Orange, CA)

  • Hillard Kaplan

    (Economic Science Institute, Chapman University, Orange, CA and University of New Mexico, Albuquerque, NM)

  • Stephen Rassenti

    (Economic Science Institute, Chapman University, Orange, CA)

Abstract

This article examines individual and social influences on investments in health and enjoyment from immediate consumption. We report the results of a lab experiment that mimics the problem of health investment over a lifetime, building on Grossman’s (1972a, 1972b) theoretical framework. Subjects earn money through the experiment in proportion to the sum of the life enjoyment they have consumed. However, income in each period is a function of previous health investments, so there is a dynamic optimum for maximizing earnings through the appropriate expenditures on life enjoyment and health in each period. In order to model social effects in the experiment, we randomly assigned individuals to chat/observation groups, composed of four subjects each. Two treatments were employed: In the Independent treatment, an individual’s rewards from investments in life enjoyment depend only on his choice and in the Interdependent treatment, rewards not only depend on an individual’s choices but also on their similarity to the choices of the others in their group. Seven predictions were tested and each was supported by the data. We found: 1) Subjects engaged in helpful chat in both treatments; 2) there was significant heterogeneity among both subjects and groups in chat frequencies; and 3) chat was most common early in the experiment. The interdependent treatment 4) increased strategic chat frequency, 5) decreased within-group variance, 6) increased between-group variance, and 7) increased the likelihood of behavior far from the optimum with respect to the dynamic problem. Individual incentives explain a large part, but not all, of the variance in prosocial behavior in the form of strategic advice. Incentives for conformity appear to promote prosocial behavior, but also increase variance among groups in equilibrium outcomes, leading to convergence on suboptimal strategies for some groups

Suggested Citation

  • Hernán Bejarano & Hillard Kaplan & Stephen Rassenti, 2014. "Dynamic Optimization and Conformity in Health Behavior and Life Enjoyment over the Life Cycle," Working Papers 14-20, Chapman University, Economic Science Institute.
  • Handle: RePEc:chu:wpaper:14-20
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    References listed on IDEAS

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    1. Cutler, David M. & Lleras-Muney, Adriana, 2010. "Understanding differences in health behaviors by education," Journal of Health Economics, Elsevier, vol. 29(1), pages 1-28, January.
    2. Victor R. Fuchs, 2018. "Reflections on the Socio-Economic Correlates of Health," World Scientific Book Chapters, in: Health Economics and Policy Selected Writings by Victor Fuchs, chapter 10, pages 115-124, World Scientific Publishing Co. Pte. Ltd..
    3. Kenkel, Donald S, 1991. "Health Behavior, Health Knowledge, and Schooling," Journal of Political Economy, University of Chicago Press, vol. 99(2), pages 287-305, April.
    4. Linda Waite, 1995. "Does marriage matter?," Demography, Springer;Population Association of America (PAA), vol. 32(4), pages 483-507, November.
    5. Grossman, Michael, 1972. "On the Concept of Health Capital and the Demand for Health," Journal of Political Economy, University of Chicago Press, vol. 80(2), pages 223-255, March-Apr.
    6. David Constant & Lee Sproull & Sara Kiesler, 1996. "The Kindness of Strangers: The Usefulness of Electronic Weak Ties for Technical Advice," Organization Science, INFORMS, vol. 7(2), pages 119-135, April.
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    Cited by:

    1. Indrani Saran & Günther Fink & Margaret McConnell, 2018. "How does anonymous online peer communication affect prevention behavior? Evidence from a laboratory experiment," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-16, November.

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    Keywords

    experimental economics; behavioral economics; health economics; dynamic programming;
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