Nonparametric and Semi-Nonparametric Recreational Demand Analysis
AbstractThis paper addresses issues of specification testing for the travel cost method (TCM). Two nonparametric approaches to TCM analysis are presented. In addition, semi- nonparametric count models for TCM are developed.A numerical illustration isprovided in which the three methodsare applied to an actual TCM data set on waterfowl hunting and the results are compared to those from a parametric analysis.
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Bibliographic InfoPaper provided by University Library of Munich, Germany in its series MPRA Paper with number 24780.
Date of creation: 29 Jun 1999
Date of revision:
bootstrap; count model; Fourier; kernel; nonparametric; PAVA; semi-nonparametric; travel cost method;
Other versions of this item:
- Joseph C. Cooper, 2000. "Nonparametric and Semi-Nonparametric Recreational Demand Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(2), pages 451-462.
- Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General
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- Kuosmanen, Timo & Nillesen, Eleonora & Wesseler, Justus, 2004.
"Does ignoring multidestination trips in the travel cost method cause a systematic bias?,"
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- Timo Kuosmanen & Eleonora Nillesen & Justus Wesseler, 2004. "Does ignoring multidestination trips in the travel cost method cause a systematic bias?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(4), pages 629-651, December.
- Ram Shrestha & John Loomis, 2003. "Meta-Analytic Benefit Transfer of Outdoor Recreation Economic Values: Testing Out-of-Sample Convergent Validity," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 25(1), pages 79-100, May.
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- Sabina L. Shaikh & Douglas M. Larson, 2003. "A Two-Constraint Almost Ideal Demand Model of Recreation and Donations," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 953-961, November.
- José Santos & M. Neves, 2008. "A local maximum likelihood estimator for Poisson regression," Metrika, Springer, vol. 68(3), pages 257-270, November.
- Livanis, Grigorios T. & Salois, Matthew J. & Moss, Charles B., 2009. "A Nonparametric Kernel Representation of the Agricultural Production Function: Implications for Economic Measures of Technology," 83rd Annual Conference, March 30-April 1, 2009, Dublin, Ireland 51063, Agricultural Economics Society.
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