A Rationale for Searching (Imprecise) Health Information
We analyse a model of patient decision-making where anxiety about the future characterizes the patient’s utility function. Anxiety corresponds to fear of bad news and results in the patient being averse to information. First, the patient chooses the accuracy of a signal which discloses information on his health status. Then he up-dates his beliefs according to Bayes’s rule and chooses an action. We show that the choice of imprecise information can be optimal because it allows the patient to trade off the damage deriving from complete ignorance with the anxiety raised by the news about his health level.
|Date of creation:||2006|
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- Wagner, Todd H. & Hu, Teh-wei & Hibbard, Judith H., 2001. "The demand for consumer health information," Journal of Health Economics, Elsevier, vol. 20(6), pages 1059-1075, November.
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- Caplin, A. & Leahy, J., 1999. "The Supply of Information by a Concerned Expert," Working Papers 99-08, C.V. Starr Center for Applied Economics, New York University.
- F. Barigozzi & R. Levaggi, 2005. "New Developments in Physician Agency: the Role of Patient Information," Working Papers 550, Dipartimento Scienze Economiche, Universita' di Bologna.
- Giuseppe Moscarini & Lones Smith, 2001. "The Optimal Level of Experimentation," Econometrica, Econometric Society, vol. 69(6), pages 1629-1644, November.
- Koszegi, Botond, 2003. "Health anxiety and patient behavior," Journal of Health Economics, Elsevier, vol. 22(6), pages 1073-1084, November. Full references (including those not matched with items on IDEAS)
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