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Nonparametric and Semi-Nonparametric Recreational Demand Analysis

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  • Joseph C. Cooper

Abstract

This 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 is provided in which the three methods are applied to an actual TCM data set on waterfowl hunting and the results are compared to those from a parametric analysis. Copyright 2000, Oxford University Press.

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File URL: http://hdl.handle.net/10.1111/0002-9092.00038
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Bibliographic Info

Article provided by Agricultural and Applied Economics Association in its journal American Journal of Agricultural Economics.

Volume (Year): 82 (2000)
Issue (Month): 2 ()
Pages: 451-462

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Handle: RePEc:oup:ajagec:v:82:y:2000:i:2:p:451-462

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Cited by:
  1. 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.
  2. Kuosmanen, Timo & Nillesen, Eleonora & Wesseler, Justus, 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), December.
  3. Whitten, Stuart M. & Bennett, Jeffrey W., 2001. "A Travel Cost Study of Duck Hunting in the Upper South East of South Australia," 2001 Conference (45th), January 23-25, 2001, Adelaide 126064, Australian Agricultural and Resource Economics Society.
  4. 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.
  5. José Santos & M. Neves, 2008. "A local maximum likelihood estimator for Poisson regression," Metrika, Springer, vol. 68(3), pages 257-270, November.
  6. Sarker, Rakhal & Surry, Yves R., 2003. "The Fast Decay Process In Recreational Demand Activities And The Use Of Alternative Count Data Models," Working Papers 34147, University of Guelph, Department of Food, Agricultural and Resource Economics.
  7. 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.

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