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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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    1. Mark Montgomery & Michael Needelman, 1997. "The Welfare Effects of Toxic Contamination in Freshwater Fish," Land Economics, University of Wisconsin Press, vol. 73(2), pages 211-223.
    2. Morey, Edward R. & Waldman, Donald M., 1998. "Measurement Error in Recreation Demand Models: The Joint Estimation of Participation, Site Choice, and Site Characteristics," Journal of Environmental Economics and Management, Elsevier, vol. 35(3), pages 262-276, May.
    3. Breffle, William S. & Morey, Edward R. & Waldman, Donald M., 2000. "Combining Sources of Data in the Estimation of Consumer Preferences: Estimating Damages to Anglers from Environmental Injuries," Western Region Archives 321671, Western Region - Western Extension Directors Association (WEDA).
    4. Parsons, George R. & Jakus, Paul M. & Tomasi, Ted, 1999. "A Comparison of Welfare Estimates from Four Models for Linking Seasonal Recreational Trips to Multinomial Logit Models of Site Choice," Journal of Environmental Economics and Management, Elsevier, vol. 38(2), pages 143-157, September.
    5. W. Kip Viscusi & William N. Evans, 1998. "Estimation Of Revealed Probabilities And Utility Functions For Product Safety Decisions," The Review of Economics and Statistics, MIT Press, vol. 80(1), pages 28-33, February.
    6. W. Kip Viscusi & Wesley A. Magat & Joel Huber, 1999. "Smoking Status and Public Responses to Ambiguous Scientific Risk Evidence," Southern Economic Journal, John Wiley & Sons, vol. 66(2), pages 250-270, October.
    7. Daniel Kahneman & Amos Tversky, 2013. "Prospect Theory: An Analysis of Decision Under Risk," World Scientific Book Chapters, in: Leonard C MacLean & William T Ziemba (ed.), HANDBOOK OF THE FUNDAMENTALS OF FINANCIAL DECISION MAKING Part I, chapter 6, pages 99-127, World Scientific Publishing Co. Pte. Ltd..
    8. W. Douglas Shaw & J. Scott Shonkwiler, 2000. "Brand Choice and Purchase Frequency Revisited: An Application to Recreation Behavior," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(3), pages 515-526.
    9. George R. Parsons & A. Brett Hauber, 1998. "Spatial Boundaries and Choice Set Definition in a Random Utility Model of Recreation Demand," Land Economics, University of Wisconsin Press, vol. 74(1), pages 32-48.
    10. Jill J. McCluskey & Gordon C. Rausser, 2001. "Estimation of Perceived Risk and Its Effect on Property Values," Land Economics, University of Wisconsin Press, vol. 77(1), pages 42-55.
    11. Viscusi, W Kip, 1989. "Prospective Reference Theory: Toward an Explanation of the Paradoxes," Journal of Risk and Uncertainty, Springer, vol. 2(3), pages 235-263, September.
    12. Krinsky, Itzhak & Robb, A Leslie, 1986. "On Approximating the Statistical Properties of Elasticities," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 715-719, November.
    13. Machina, Mark J, 1987. "Choice under Uncertainty: Problems Solved and Unsolved," Journal of Economic Perspectives, American Economic Association, vol. 1(1), pages 121-154, Summer.
    14. Jakus, Paul M. & Downing, Mark & Bevelimer, Mark S. & Fly, J. Mark, 1997. "Do Sportfish Consumption Advisories Affect Reservoir Anglers' Site Choice?," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 26(2), pages 1-9, October.
    15. Heng Z. Chen & Stephen R. Cosslett, 1998. "Environmental Quality Preference and Benefit Estimation in Multinomial Probit Models: A Simulation Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(3), pages 512-520.
    16. Train, Kenneth & McFadden, Daniel & Johnson, Reed, 2000. "Discussion of Morey and Waldman's "Measurement Error in Recreation Demand Models"," Journal of Environmental Economics and Management, Elsevier, vol. 40(1), pages 76-81, July.
    17. Chris Starmer, 2000. "Developments in Non-expected Utility Theory: The Hunt for a Descriptive Theory of Choice under Risk," Journal of Economic Literature, American Economic Association, vol. 38(2), pages 332-382, June.
    18. Vern R. Walker, 1995. "Direct Inference, Probability, and a Conceptual Gulf in Risk Communication," Risk Analysis, John Wiley & Sons, vol. 15(5), pages 603-609, October.
    19. Paul M. Jakus & Dimitrios Dadakas & J. Mark Fly, 1998. "Fish Consumption Advisories: Incorporating Angler-Specific Knowledge, Habits, and Catch Rates in a Site Choice Model," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 80(5), pages 1019-1024.
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    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. Mara Thiene & Riccardo Scarpa, 2008. "Hiking in the Alps: Exploring Substitution Patterns of Hiking Destinations," Tourism Economics, , vol. 14(2), pages 263-282, June.
    7. 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.
    8. 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.
    9. 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.
    10. 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.
    11. Johnston, Robert J. & Schultz, Eric T. & Segerson, Kathleen & Besedin, Elena Y. & Ramachandran, Mahesh, 2013. "Stated Preferences for Intermediate versus Final Ecosystem Services: Disentangling Willingness to Pay for Omitted Outcomes," Agricultural and Resource Economics Review, Cambridge University Press, vol. 42(1), pages 98-118, April.
    12. 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.
    13. 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.

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