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The Economics of Fish Consumption Advisories: Insights from Revealed and Stated Preference Data

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  • Douglas J. MacNair
  • William H. Desvousges

Abstract

Measuring how fish consumption advisories affect angler’s utility has proven difficult. Relying on stated preference (SP) data is problematic because of hypothetical bias. Revealed preference (RP) data benefits from using actual behavior; however, co-linearity often makes it difficult to model the array of advisory severity levels across different species and catch rates. The array of advisories also makes traditional joint estimation impractical. This paper describes an alternative joint estimation technique, based on an index of SP parameter, that we used for estimating the effect of fish consumption advisories on the Fox River/Green Bay.

Suggested Citation

  • 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.
  • Handle: RePEc:uwp:landec:v:83:y:2007:i:4:p:600-616
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    References listed on IDEAS

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    1. 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.
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    4. 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.
    5. W. Douglass Shaw & Peter Feather, 1999. "Possibilities for Including the Opportunity Cost of Time in Recreation Demand Systems," Land Economics, University of Wisconsin Press, vol. 75(4), pages 592-602.
    6. Ben-Akiva, Moshe & Morikawa, Takayuki & Shiroishi, Fumiaki, 1992. "Analysis of the reliability of preference ranking data," Journal of Business Research, Elsevier, vol. 24(2), pages 149-164, March.
    7. 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.
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    More about this item

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects
    • D18 - Microeconomics - - Household Behavior - - - Consumer Protection

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