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Substitution, Damages, and Compensation for Anglers due to Oil Spills:The case of the Deepwater Horizon

Author

Listed:
  • Alvarez, Sergio
  • Larkin, Sherry L.
  • Whitehead, John C.
  • Haab, Timothy C.

Abstract

Oil spills and other anthropogenic environmental disasters have economic consequences that transcend losses of business revenue and property damages. Such non-market losses include those accrued by recreational users, as well as by individuals who hold passive use value for the affected environmental resources. We use a series of random utility models to examine the substitution patterns and welfare losses experienced by recreational saltwater anglers in the Southeast U.S. due to the Deepwater Horizon oil spill. The use of a difference ratio to measure changes between pre- and post-spill preferences that allow us to discern substitution patterns in fishing season, catch, and site popularity. We also estimate monetary welfare measures for damages incurred by anglers, as well as the in-kind compensatory restoration that would be required to make anglers whole.

Suggested Citation

  • Alvarez, Sergio & Larkin, Sherry L. & Whitehead, John C. & Haab, Timothy C., 2012. "Substitution, Damages, and Compensation for Anglers due to Oil Spills:The case of the Deepwater Horizon," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124779, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea12:124779
    DOI: 10.22004/ag.econ.124779
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    References listed on IDEAS

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    1. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    2. Kling, Catherine L. & Bockstael, Nancy & Hanemann, W. Michael, 1987. "Estimating the Value of Water Quality Improvements in a Recreational Demand Framework," Staff General Research Papers Archive 1594, Iowa State University, Department of Economics.
    3. Timothy C. Haab & Kenneth E. McConnell, 2002. "Valuing Environmental and Natural Resources," Books, Edward Elgar Publishing, number 2427.
    4. Morey, Edward R. & Shaw, W. Douglass & Rowe, Robert D., 1991. "A discrete-choice model of recreational participation, site choice, and activity valuation when complete trip data are not available," Journal of Environmental Economics and Management, Elsevier, vol. 20(2), pages 181-201, March.
    5. Hindsley, Paul & Landry, Craig E. & Gentner, Brad, 2011. "Addressing onsite sampling in recreation site choice models," Journal of Environmental Economics and Management, Elsevier, vol. 62(1), pages 95-110, July.
    6. Kenneth E. Train, 1998. "Recreation Demand Models with Taste Differences over People," Land Economics, University of Wisconsin Press, vol. 74(2), pages 230-239.
    7. Timothy Haab & Robert L. Hicks & Kurt Schnier & John C. Whitehead, 2010. "Angler Heterogeneity and the Species-Specific Demand for Marine Recreational Fishing," Working Papers 10-02, Department of Economics, Appalachian State University.
    8. Nicholas E. Flores & Jennifer Thacher, 2002. "Money, Who Needs It? Natural Resource Damage Assessment," Contemporary Economic Policy, Western Economic Association International, vol. 20(2), pages 171-178, April.
    9. Thomas, Michael H. & Lupi, Frank & Harding, David B., 2010. "A Policy Tool for Evaluating Investments in Public Boat Ramps in Florida: A Random Utility Model Approach," 2010 Annual Meeting, February 6-9, 2010, Orlando, Florida 56531, Southern Agricultural Economics Association.
    10. Kaoru, Yoshiaki, 1995. "Measuring marine recreation benefits of water quality improvements by the nested random utility model," Resource and Energy Economics, Elsevier, vol. 17(2), pages 119-136, August.
    11. George R. Parsons & Mary Jo Kealy, 1992. "Randomly Drawn Opportunity Sets in a Random Utility Model of Lake Recreation," Land Economics, University of Wisconsin Press, vol. 68(1), pages 93-106.
    12. Peter Boxall & Wiktor Adamowicz, 2002. "Understanding Heterogeneous Preferences in Random Utility Models: A Latent Class Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 23(4), pages 421-446, December.
    13. Daniel McFadden, 1977. "Modelling the Choice of Residential Location," Cowles Foundation Discussion Papers 477, Cowles Foundation for Research in Economics, Yale University.
    14. George R. Parsons & Michael S. Needelman, 1992. "Site Aggregation in a Random Utility Model of Recreation," Land Economics, University of Wisconsin Press, vol. 68(4), pages 418-433.
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    Cited by:

    1. 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.
    2. Backstrom, Jesse D. & Woodward, Richard T., 2017. "Using Qualitative Site Characteristics Data in Marine Recreational Fishing Models: A New Site Aggregation Approach," 2017 Annual Meeting, July 30-August 1, Chicago, Illinois 258276, Agricultural and Applied Economics Association.

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