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Perceived Hazard And Product Choice: An Application To Recreational Site Choice

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  • Jakus, Paul M.
  • Shaw, W. Douglass

Abstract

This study improves upon the standard "dummy variable" approach to modeling fish consumption advisories by jointly estimating a "perceived hazard" model and a site choice model. The perceived hazard model overcomes the shortcomings of the dummy variable model, namely that all anglers respond equally to advisories and that all anglers know of and believe the advisories. We find that anglers' perceived hazards associated with consumption advisories do affect product (recreational site) choice. Anglers' perceptions also affect welfare measures, where the benefits of contaminant removal follow a more reasonable pattern than that of the dummy variable approach. The joint perceived hazard/product choice model is applicable to a wide variety of risky choices with which consumers are faced.

Suggested Citation

  • Jakus, Paul M. & Shaw, W. Douglass, 2001. "Perceived Hazard And Product Choice: An Application To Recreational Site Choice," 2001 Annual meeting, August 5-8, Chicago, IL 20772, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  • Handle: RePEc:ags:aaea01:20772
    DOI: 10.22004/ag.econ.20772
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    3. Jakus, Paul M. & McGuinness, Meghan & Krupnick, Alan J., 2002. "The Benefits and Costs of Fish Consumption Advisories for Mercury," Discussion Papers 10853, Resources for the Future.
    4. Thomann, Christian & Pascalau, Razvan & Schulenburg, J.-Matthias Graf von der & Gas, Bruno, 2007. "Corporate Management of Highly Dynamic Risks: The Case of Terrorism Insurance in Germany," MPRA Paper 7221, University Library of Munich, Germany.
    5. Cash, Sean B. & Lacanilao, Ryan D. & Adamowicz, Wiktor L. & Raine, Kim, 2008. "An Experimental Investigation of the Impact of Fat Taxes: Prices Effects, Food Stigma, and Information Effects on Economics Instruments to Improve Dietary Health," Consumer and Market Demand Network Papers 45499, University of Alberta, Department of Resource Economics and Environmental Sociology.
    6. W. Douglass Shaw & Mark Walker & Marnee Benson, 2005. "Treating and Drinking Well Water in the Presence of Health Risks from Arsenic Contamination: Results from a U.S. Hot Spot," Risk Analysis, John Wiley & Sons, vol. 25(6), pages 1531-1543, December.
    7. Johnston, Robert J. & Segerson, Kathleen & Schultz, Eric T. & Besedin, Elena Y. & Ramachandran, Mahesh, 2011. "Indices of biotic integrity in stated preference valuation of aquatic ecosystem services," Ecological Economics, Elsevier, vol. 70(11), pages 1946-1956, September.
    8. Lea Nicita & W. Douglass Shaw & Giovanni Signorello, 2018. "Valuing the Benefits of Rock Climbing and the Welfare Gains from Decreasing Injury Risk," Risk Analysis, John Wiley & Sons, vol. 38(11), pages 2258-2274, November.
    9. Haab, Timothy C. & Whitehead, John C. & Parsons, George R. & Price, Jammie, 2010. "Effects of information about invasive species on risk perception and seafood demand by gender and race," Resource and Energy Economics, Elsevier, vol. 32(4), pages 586-599, November.
    10. Thomas Lundhede & Jette Bredahl Jacobsen & Nick Hanley & Niels Strange & Bo Jellesmark Thorsen, 2015. "Incorporating Outcome Uncertainty and Prior Outcome Beliefs in Stated Preferences," Land Economics, University of Wisconsin Press, vol. 91(2), pages 296-316.
    11. Mara Thiene & Riccardo Scarpa, 2008. "Hiking in the Alps: Exploring Substitution Patterns of Hiking Destinations," Tourism Economics, , vol. 14(2), pages 263-282, June.
    12. Robert J. Johnston & Eric T. Schultz & Kathleen Segerson & Elena Y. Besedin & Mahesh Ramachandran, 2012. "Enhancing the Content Validity of Stated Preference Valuation: The Structure and Function of Ecological Indicators," Land Economics, University of Wisconsin Press, vol. 88(1), pages 102-120.
    13. Douglas J. MacNair & William H. Desvousges, 2007. "The Economics of Fish Consumption Advisories: Insights from Revealed and Stated Preference Data," Land Economics, University of Wisconsin Press, vol. 83(4), pages 600-616.

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