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Linking sportfishing trip attributes, participation decisions, and regional economic impacts in Lower and Central Cook Inlet, Alaska

Author

Listed:
  • C. Hamel
  • M. Herrmann
  • S. Lee
  • Keith Criddle
  • H. Geier

Abstract

Forecasts of the regional economic impacts of changes in the demand for recreation occasioned by regulatory changes, changes in the quality of the recreation experience, or changes in average trip costs require a model that links changes in these trip attributes to individual participation decisions and population participation rates. The probability that an individual will take a particular recreational trip is described using a nonlinear random effects probit model based on variable trip attributes and individual economic and demographic characteristics. These conditional individual probabilities are transformed into predictions of changes in total recreation demand using a simulation-based sample enumeration method. The regional impacts associated with ensuing changes in primary and secondary expenditure patterns are elucidated with a stand-alone recreation-sector module linked to a regionally adjusted zip code-level input-output model. Because the participation model allows for nonconstant marginal utility, primary and secondary impacts exhibit nonlinear responses to variations in trip attributes. The modeling approach is demonstrated in an application to the saltwater sport fisheries for Pacific halibut and salmon in Lower and Central Cook Inlet, Alaska.

Suggested Citation

  • C. Hamel & M. Herrmann & S. Lee & Keith Criddle & H. Geier, "undated". "Linking sportfishing trip attributes, participation decisions, and regional economic impacts in Lower and Central Cook Inlet, Alaska," Working Papers 2001-01, Utah State University, Department of Economics.
  • Handle: RePEc:usu:wpaper:2001-01
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    File URL: ftp://repec.bus.usu.edu/RePEc/usu/pdf/ERI2001-01.pdf
    File Function: First version, 2001
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    Cited by:

    1. Devkota, Nirmala & Fannin, James Matthew & Paudel, Krishna P., 2006. "Economic Impact Estimation Using Bootstrap Samples Obtained From Internet And Intercept Survey Data," 2006 Annual meeting, July 23-26, Long Beach, CA 21150, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Starbuck, C. Meghan & Berrens, Robert P. & McKee, Michael, 2006. "Simulating changes in forest recreation demand and associated economic impacts due to fire and fuels management activities," Forest Policy and Economics, Elsevier, vol. 8(1), pages 52-66, January.
    3. Deisentroth, Daniel B. & Loomis, John B. & Bond, Craig A., 2013. "Using Revealed Preference Behavioral Models to Correctly Account for Substitution Effects in Economic Impact Analysis," Journal of Regional Analysis and Policy, Mid-Continent Regional Science Association, vol. 43(2).

    More about this item

    JEL classification:

    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C67 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Input-Output Models
    • Q22 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Fishery
    • Q26 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation - - - Recreational Aspects of Natural Resources

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