While it is well known that education strongly predicts health, less is known as to why. One reason might be that education improves health-care decision making. In this paper we attempt to disentangle improved decision making from other effects of education, and to quantify how large an impact it has on both a patient’s demand for health services, and that demand’s sensitivity to objective risk factors. We do this by estimating a simple structural model of information acquisition and health decisions for data on women’s self-reported breast-cancer risk and screening behavior. This allows us to separately identify differences in the ability to process health information and differences in overall demand for health. Our results suggest that the observed education gradient in screening stems from a higher willingness-to-pay for health among the educated, but that the main reason why the educated respond more to risk factors in their screening decision is because they are much better informed about the risk factors they face.
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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number
3548.
Find related papers by JEL classification: I10 - Health, Education, and Welfare - - Health - - - General I12 - Health, Education, and Welfare - - Health - - - Health Production I20 - Health, Education, and Welfare - - Education - - - General D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
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References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Grossman, Michael, 2000.
"The human capital model,"
Handbook of Health Economics,
in: A. J. Culyer & J. P. Newhouse (ed.), Handbook of Health Economics, edition 1, volume 1, chapter 7, pages 347-408
Elsevier.
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