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Cancer Risk Messages: Public Health and Economic Welfare

Author

Listed:
  • Ruth F. G. Williams
  • Ka C. Chan
  • Christopher T. Lenard
  • Terence M. Mills

Abstract

Statements for public health purposes such as "1 in 2 will get cancer by age 85" have appeared in public spaces. The meaning drawn from such statements affects economic welfare, not just public health. Both markets and government use risk information on all kinds of risks, useful information can, in turn, improve economic welfare, however inaccuracy can lower it. We adapt the contingency table approach so that a quoted risk is cross-classified with the states of nature. We show that bureaucratic objective functions regarding the accuracy of a reported cancer risk can then be stated.

Suggested Citation

  • Ruth F. G. Williams & Ka C. Chan & Christopher T. Lenard & Terence M. Mills, 2018. "Cancer Risk Messages: Public Health and Economic Welfare," Papers 1807.03045, arXiv.org, revised Jul 2018.
    • Handle: RePEc:arx:papers:1807.03045
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    File URL: http://arxiv.org/pdf/1807.03045
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    References listed on IDEAS

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    1. Michael Grossman, 1972. "The Demand for Health: A Theoretical and Empirical Investigation," NBER Books, National Bureau of Economic Research, Inc, number gros72-1, March.
    2. Pollak, Robert A & Wachter, Michael L, 1975. "The Relevance of the Household Production Function and Its Implications for the Allocation of Time," Journal of Political Economy, University of Chicago Press, vol. 83(2), pages 255-277, April.
    3. Bruce C. Greenwald & Joseph E. Stiglitz, 1986. "Externalities in Economies with Imperfect Information and Incomplete Markets," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 101(2), pages 229-264.
    4. Ka C. Chan & Ruth F. G. Williams & Christopher T. Lenard & Terence M. Mills, 2018. "Cancer Risk Messages: A Light Bulb Model," Papers 1807.03040, arXiv.org, revised Jul 2018.
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    Cited by:

    1. Dunsch, Felipe Alexander & Velenyi, Edit, 2019. "Job Preferences of Frontline Health Workers in Ghana - A Discrete Choice Experiment," SocArXiv bqx5k, Center for Open Science.
    2. Ka C. Chan & Ruth F. G. Williams & Christopher T. Lenard & Terence M. Mills, 2018. "Cancer Risk Messages: A Light Bulb Model," Papers 1807.03040, arXiv.org, revised Jul 2018.

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