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Choice of the angler

Author

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  • Erik Wallentin

    (Jönköping International Business School, Sweden)

Abstract

The author proposes a novel application for estimating demand for a single recreation site when data are limited. An aggregated zonal travel cost model is outlined and estimated in a panel setting using a negative binomial estimator with time-specific constants to capture unobserved time-varying quality attributes. The data are based on catch records for the Mörrum river salmon fishery, one of the most popular sport fishing destinations in Northern Europe. These are aggregated to the municipal level for the zonal estimation and give number of visits per municipality per week for the period 1999–2011. The results confirm the expected negative influence of travel cost on visits. Further, the inclusion of time-specific constants does not render all time-varying quality attributes insignificant.

Suggested Citation

  • Erik Wallentin, 2016. "Choice of the angler," Tourism Economics, , vol. 22(6), pages 1338-1351, December.
    • Handle: RePEc:sae:toueco:v:22:y:2016:i:6:p:1338-1351
    DOI: 10.5367/te.2015.0486
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    References listed on IDEAS

    as
    1. Wilson, Robert R., 1971. "Demand Theory: Time Allocation and Outdoor Recreation," Journal of Agricultural and Applied Economics, Cambridge University Press, vol. 3(1), pages 103-108, December.
    2. 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.
    3. Shonkwiler, John Scott & Shaw, W. Douglass, 1996. "Hurdle Count-Data Models In Recreation Demand Analysis," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 21(2), pages 1-10, December.
    4. 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.
    5. Shaw, Daigee, 1988. "On-site samples' regression : Problems of non-negative integers, truncation, and endogenous stratification," Journal of Econometrics, Elsevier, vol. 37(2), pages 211-223, February.
    6. Wilson, Robert R., 1971. "Demand Theory: Time Allocation and Outdoor Recreation," File Manuscripts, United States National Marine Fisheries Service, Economic Research Division, number 233600.
    7. Burt, Oscar R & Brewer, Durward, 1971. "Estimation of Net Social Benefits from Outdoor Recreation," Econometrica, Econometric Society, vol. 39(5), pages 813-827, September.
    8. Englin, Jeffrey & Shonkwiler, J S, 1995. "Estimating Social Welfare Using Count Data Models: An Application to Long-Run Recreation Demand under Conditions of Endogenous Stratification and Truncation," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 104-112, February.
    9. Daniel Hellerstein & Robert Mendelsohn, 1993. "A Theoretical Foundation for Count Data Models," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 604-611.
    10. Cameron, A. Colin & Trivedi, Pravin K., 1990. "Regression-based tests for overdispersion in the Poisson model," Journal of Econometrics, Elsevier, vol. 46(3), pages 347-364, December.
    11. McFadden, Daniel, 1980. "Econometric Models for Probabilistic Choice among Products," The Journal of Business, University of Chicago Press, vol. 53(3), pages 13-29, July.
    12. Feather Peter & Hellerstein Daniel & Tomasi Theodore, 1995. "A Discrete-Count Model of Recreational Demand," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 214-227, September.
    13. Englin, Jeffrey & Lambert, David & Shaw, W. Douglass, 1997. "A Structural Equations Approach to Modeling Consumptive Recreation Demand," Journal of Environmental Economics and Management, Elsevier, vol. 33(1), pages 33-43, May.
    14. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    15. Murdock, Jennifer, 2006. "Handling unobserved site characteristics in random utility models of recreation demand," Journal of Environmental Economics and Management, Elsevier, vol. 51(1), pages 1-25, January.
    16. Anton Paulrud & Thomas Laitila, 2013. "A cost-benefit analysis of restoring the Em River in Sweden: valuation of angling site characteristics and visitation frequency," Applied Economics, Taylor & Francis Journals, vol. 45(16), pages 2255-2266, June.
    17. Wilson, Robert R., 1971. "Demand Theory: Time Allocation And Outdoor Recreation," Southern Journal of Agricultural Economics, Southern Agricultural Economics Association, vol. 3(1), pages 1-6, December.
    18. Andrew H. Trice & Samuel E. Wood, 1958. "Measurement of Recreation Benefits: A Rejoinder," Land Economics, University of Wisconsin Press, vol. 34(4), pages 367-369.
    19. Shrestha, Ram K. & Seidl, Andrew F. & Moraes, Andre S., 2002. "Value of recreational fishing in the Brazilian Pantanal: a travel cost analysis using count data models," Ecological Economics, Elsevier, vol. 42(1-2), pages 289-299, August.
    20. John A. Curtis, 2002. "Estimating the Demand for Salmon Angling in Ireland," The Economic and Social Review, Economic and Social Studies, vol. 33(3), pages 319-332.
    21. McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
    22. David W. Seckler, 1966. "On the Uses and Abuses of Economic Science in Evaluating Public Outdoor Recreation," Land Economics, University of Wisconsin Press, vol. 42(4), pages 485-494.
    23. Andrew H. Trice & Samuel E. Wood, 1958. "Measurement of Recreation Benefits," Land Economics, University of Wisconsin Press, vol. 34(3), pages 195-207.
    24. Grogger, J T & Carson, Richard T, 1991. "Models for Truncated Counts," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 6(3), pages 225-238, July-Sept.
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