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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.

Suggested Citation

  • 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.
    • Handle: RePEc:oup:ajagec:v:82:y:2000:i:2:p:451-462
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    File URL: http://hdl.handle.net/10.1111/0002-9092.00038
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    Cited by:

    1. Silvia Ferrini & Carlo Fezzi, 2012. "Generalized Additive Models for Nonmarket Valuation via Revealed or Stated Preference Methods," Land Economics, University of Wisconsin Press, vol. 88(4), pages 782-802.
    2. Weiwei Liu & Kevin J. Egan, 2019. "A Semiparametric Smooth Coefficient Estimator for Recreation Demand," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 74(3), pages 1163-1187, November.
    3. 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.
    4. 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.
    5. José Santos & M. Neves, 2008. "A local maximum likelihood estimator for Poisson regression," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 68(3), pages 257-270, November.
    6. Pang, Arwin, 2017. "Incorporating the effect of successfully bagging big game into recreational hunting: An examination of deer, moose and elk hunting," Journal of Forest Economics, Elsevier, vol. 28(C), pages 12-17.
    7. 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, Australia 126064, Australian Agricultural and Resource Economics Society.
    8. 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.
    9. 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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    JEL classification:

    • Q0 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General

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