Testing Significance Of Multi-Destination And Multi-Purpose Trip Effects In A Travel Cost Method Demand Model For Whale Watching Trips
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 pat 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.
Volume (Year): 29 (2000)
Issue (Month): 2 (October)
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- 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(1), April.
- 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.
- Hellerstein, Daniel, 1991. "Using Count Data Models in Travel Cost Analysis with Aggregate Data," MPRA Paper 25264, University Library of Munich, Germany.
- Hellerstein, Daniel & Mendelsohn, Robert, 1993. "A Theoretical Foundation for Count Data Models," MPRA Paper 25265, University Library of Munich, Germany.
- 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.
- 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 370-73, May.
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