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Testing Significance of Multi-Destination and Multi-Purpose Trip Effects in a Travel Cost Method Demand Model for Whale Watching Trips

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  • Loomis, John
  • Yorizane, Shizuka
  • Larson, Douglas

Abstract

Inclusion of multi-destination and multi-purpose visitors has an appreciable influence on a standard count data travel cost model derived estimate of willingness to pay but the differences are not statistically significant. We adapt a more general travel cost model (TCM) of Parsons and Wilson (1997) that allows for inclusion of multi-destination visitors as incidental demand to allow estimation of an unbiased measure of single and multi-destination willingness to pay for whale viewing using a single pooled equation. The primary purpose trip values from the standard TCM and simple generalized TCM model are identical at $43 per person per day and neither are significantly different from the $50 day value from a generalized model that distinguishes between joint and incidental trips. The general models avoid underestimation of total recreation site benefits that would result from omitting the consumer surplus of multi-destination visitors.

Suggested Citation

  • Loomis, John & Yorizane, Shizuka & Larson, Douglas, 2000. "Testing Significance of Multi-Destination and Multi-Purpose Trip Effects in a Travel Cost Method Demand Model for Whale Watching Trips," Agricultural and Resource Economics Review, Cambridge University Press, vol. 29(2), pages 183-191, October.
  • Handle: RePEc:cup:agrerw:v:29:y:2000:i:02:p:183-191_00
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    References listed on IDEAS

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    1. Daniel M. Hellerstein, 1991. "Using Count Data Models in Travel Cost Analysis with Aggregate Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(3), pages 860-866.
    2. Parsons, George R. & Wilson, Aaron J., 1997. "Incidental And Joint Consumption In Recreation Demand," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 26(01), pages 1-6, April.
    3. Abraham E. Haspel & F. Reed Johnson, 1982. "Multiple Destination Trip Bias in Recreation Benefit Estimation," Land Economics, University of Wisconsin Press, vol. 58(3), pages 364-372.
    4. 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.
    5. Creel, Michael D & Loomis, John B, 1991. "Confidence Intervals for Welfare Measures with Application to a Problem of Truncated Counts," The Review of Economics and Statistics, MIT Press, vol. 73(2), pages 370-373, 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. Robert Mendelsohn & John Hof & George Peterson & Reed Johnson, 1992. "Measuring Recreation Values with Multiple Destination Trips," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 74(4), pages 926-933.
    8. 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.
    9. V. Kerry Smith & Raymond J. Kopp, 1980. "The Spatial Limits of the Travel Cost Recreational Demand Model," Land Economics, University of Wisconsin Press, vol. 56(1), pages 64-72.
    10. Russell L. Gum & William E. Martin, 1975. "Problems and Solutions in Estimating the Demand for and Value of Rural Outdoor Recreation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 57(4), pages 558-566.
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