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Demand for health risk reductions

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  • Cameron, Trudy Ann
  • DeShazo, J.R.

Abstract

A choice model based on utility in a sequence of prospective future health states permits us to generalize the concept of the value of statistical life (VSL). Our representative national survey asks individuals to choose between costly risk-reducing programs and the status quo in randomized stated choice scenarios. Our model allows for separate marginal utilities for discounted net income and avoided illness years, post-illness years, and lost life-years. Our estimates permit calculation of overall willingness to pay to reduce risks for a wide variety of different prospective illness profiles. These can be benchmarked against the standard VSL as a special case.

Suggested Citation

  • Cameron, Trudy Ann & DeShazo, J.R., 2013. "Demand for health risk reductions," Journal of Environmental Economics and Management, Elsevier, vol. 65(1), pages 87-109.
  • Handle: RePEc:eee:jeeman:v:65:y:2013:i:1:p:87-109
    DOI: 10.1016/j.jeem.2012.05.008
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    1. Timothy C. Haab & Matthew G. Interis & Daniel R. Petrolia & John C. Whitehead, 2013. "From Hopeless to Curious? Thoughts on Hausman's "Dubious to Hopeless" Critique of Contingent Valuation," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 35(4), pages 593-612.
    2. Rebecca L. McDonald & Susan M. Chilton & Michael W. Jones-Lee & Hugh R. T. Metcalf, 2016. "Dread and latency impacts on a VSL for cancer risk reductions," Journal of Risk and Uncertainty, Springer, vol. 52(2), pages 137-161, April.
    3. James K. Hammitt, 2017. "Valuing Non-Fatal Health Risks: Monetary and Health-Utility Measures," Revue économique, Presses de Sciences-Po, vol. 68(3), pages 335-356.
    4. Alberini, Anna & Ščasný, Milan, 2017. "The Benefits of Avoiding Cancer (or Dying from Cancer): Evidence from a Four-country Study," SAS: Society and Sustainability 253214, Fondazione Eni Enrico Mattei (FEEM).
    5. Joseph E. Aldy & Seamus J. Smyth, 2014. "Heterogeneity in the Value of Life," NBER Working Papers 20206, National Bureau of Economic Research, Inc.
    6. Frankovic, Ivan, 2017. "The impact of climate change on health expenditures," ECON WPS - Vienna University of Technology Working Papers in Economic Theory and Policy 02/2017, Vienna University of Technology, Institute for Mathematical Methods in Economics, Research Group Economics (ECON).
    7. Gerking, Shelby & Dickie, Mark & Veronesi, Marcella, 2014. "Valuation of human health: An integrated model of willingness to pay for mortality and morbidity risk reductions," Journal of Environmental Economics and Management, Elsevier, vol. 68(1), pages 20-45.
    8. Birchenall, Javier A. & Soares, Rodrigo R., 2009. "Altruism, fertility, and the value of children: Health policy evaluation and intergenerational welfare," Journal of Public Economics, Elsevier, vol. 93(1-2), pages 280-295, February.
    9. Gentry, Elissa Philip & Viscusi, W. Kip, 2016. "The fatality and morbidity components of the value of statistical life," Journal of Health Economics, Elsevier, vol. 46(C), pages 90-99.
    10. Anna Alberini, 2017. "Measuring the economic value of the effects of chemicals on ecological systems and human health," OECD Environment Working Papers 116, OECD Publishing.
    11. Catherine L. Kling & Daniel J. Phaneuf & Jinhua Zhao, 2012. "From Exxon to BP: Has Some Number Become Better Than No Number?," Journal of Economic Perspectives, American Economic Association, vol. 26(4), pages 3-26, Fall.
    12. Abdulrahman, Abdulallah S & Johnston, Robert J, 2016. "Systematic Non-Response in Stated Preference Choice Experiments: Implications for the Valuation of Climate Risk Reductions," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 235465, Agricultural and Applied Economics Association.
    13. Cameron, Trudy Ann & DeShazo, J.R. & Johnson, Erica H., 2010. "The effect of children on adult demands for health-risk reductions," Journal of Health Economics, Elsevier, vol. 29(3), pages 364-376, May.
    14. McDonald, R.L. & Chilton, S.M. & Jones-Lee, M.W. & Metcalf, H.R.T., 2017. "Evidence of variable discount rates and non-standard discounting in mortality risk valuation," Journal of Environmental Economics and Management, Elsevier, vol. 82(C), pages 152-167.
    15. repec:eee:jeeman:v:87:y:2018:i:c:p:165-189 is not listed on IDEAS
    16. Hammitt, James K. & Haninger, Kevin, 2017. "Valuing nonfatal health risk as a function of illness severity and duration: Benefit transfer using QALYs," Journal of Environmental Economics and Management, Elsevier, vol. 82(C), pages 17-38.
    17. Zack Dorner & Daniel A. Brent & Anke Leroux, 2016. "Preferences for Intrinsically Risky Attributes," Monash Economics Working Papers 32-16, Monash University, Department of Economics.
    18. Trudy Cameron & J. DeShazo & Peter Stiffler, 2010. "Demand for health risk reductions: A cross-national comparison between the U.S. and Canada," Journal of Risk and Uncertainty, Springer, vol. 41(3), pages 245-273, December.
    19. Dorner, Zach & Brent, Daniel A. & Leroux, Anke, 2016. "Eliciting Risk Preferences for Intrinsic Attributes," 2016 Annual Meeting, July 31-August 2, 2016, Boston, Massachusetts 236644, Agricultural and Applied Economics Association.
    20. Van Houtven, George & Mansfield, Carol & Phaneuf, Daniel J. & von Haefen, Roger & Milstead, Bryan & Kenney, Melissa A. & Reckhow, Kenneth H., 2014. "Combining expert elicitation and stated preference methods to value ecosystem services from improved lake water quality," Ecological Economics, Elsevier, vol. 99(C), pages 40-52.
    21. Hammitt, James K. & Herrera-Araujo, Daniel, 2017. "Peeling back the onion: Using latent class analysis to uncover heterogeneous responses to stated preference surveys," TSE Working Papers 17-766, Toulouse School of Economics (TSE).
    22. Barnes, Ryan N. & Bosworth, Ryan C. & Bailey, DeeVon & Curtis, Kynda R., 2014. "Connecting Sensory Quality Characteristics and Local Designations to Willingness to Pay for Cheese at the Retail Level," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association (IFAMA), vol. 17(3).

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