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Estimating Tournament Effects on Sportfishing Demand

Author

Listed:
  • John R. McKean

    (AEI Economic Consultants, PO Box 120, Masonville, CO 80541, USA)

  • Donn Johnson

    (Economics Department, Quinnipiac University Hamden, CT 06518, USA)

  • R.G. Taylor

    (Department of Agricultural Economics, University of Idaho, Moscow, ID 83844, USA)

Abstract

A two-step decision travel cost model is used to estimate the demand for sportfishing and to measure the effect of fishing tournaments on anglers' willingness-to-pay on the Lower Hudson River. The endogenous opportunity cost of angler travel time is incorporated in the demand function using a latent variable. The latent time value indicator is a count of the unique types of complementary and time-saving goods and services purchased during a fishing trip. Tournament fishing is valued at US$317 per angler per trip, compared to US$73 per angler per trip for other sportfishing.

Suggested Citation

  • John R. McKean & Donn Johnson & R.G. Taylor, 2014. "Estimating Tournament Effects on Sportfishing Demand," Tourism Economics, , vol. 20(5), pages 1067-1086, October.
  • Handle: RePEc:sae:toueco:v:20:y:2014:i:5:p:1067-1086
    DOI: 10.5367/te.2013.0315
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    References listed on IDEAS

    as
    1. Feather, Peter & Shaw, W. Douglass, 1999. "Estimating the Cost of Leisure Time for Recreation Demand Models," Journal of Environmental Economics and Management, Elsevier, vol. 38(1), pages 49-65, July.
    2. Jeffrey Englin & Trudy Cameron, 1996. "Augmenting travel cost models with contingent behavior data," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 7(2), pages 133-147, March.
    3. Pinar Karaca-Mandic & Kenneth Train, 2003. "Standard error correction in two-stage estimation with nested samples," Econometrics Journal, Royal Economic Society, vol. 6(2), pages 401-407, December.
    4. Douglas M. Larson & Sabina L. Shaikh, 2004. "Recreation Demand Choices and Revealed Values of Leisure Time," Economic Inquiry, Western Economic Association International, vol. 42(2), pages 264-278, April.
    5. Raymond Palmquist & Daniel Phaneuf & V. Smith, 2010. "Short Run Constraints and the Increasing Marginal Value of Time in Recreation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 46(1), pages 19-41, May.
    6. Kenneth E. McConnell & Ivar Strand, 1981. "Measuring the Cost of Time in Recreation Demand Analysis: An Application to Sportfishing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 63(1), pages 153-156.
    7. Davidson, Russell & MacKinnon, James G., 1993. "Estimation and Inference in Econometrics," OUP Catalogue, Oxford University Press, number 9780195060119.
    8. Taylor, R. Garth & Michelsen, Ari M. & Huffaker, Ray G., 2000. "Water Pressure," Choices: The Magazine of Food, Farm, and Resource Issues, Agricultural and Applied Economics Association, vol. 15(3), pages 1-4.
    9. Frank A. Ward, 1984. "Specification Considerations for the Price Variable in Travel Cost Demand Models," Land Economics, University of Wisconsin Press, vol. 60(3), pages 301-305.
    10. John R. McKean & Donn M. Johnson & Richard G. Walsh, 1995. "Valuing Time in Travel Cost Demand Analysis: An Empirical Investigation," Land Economics, University of Wisconsin Press, vol. 71(1), pages 96-105.
    11. Michael D. Creel & John B. Loomis, 1990. "Theoretical and Empirical Advantages of Truncated Count Data Estimators for Analysis of Deer Hunting in California," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 72(2), pages 434-441.
    12. Greene, William H, 1981. "On the Asymptotic Bias of the Ordinary Least Squares Estimator of the Tobit Model," Econometrica, Econometric Society, vol. 49(2), pages 505-513, March.
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    More about this item

    Keywords

    travel cost method; count data model; endogenous time value; fishing demand; tournament fishing; Lower Hudson River; JEL classification: Q51;
    All these keywords.

    JEL classification:

    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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