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Kuhn-Tucker Estimation of Recreation Demand – A Study of Temporal Stability

Author

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  • Bhattacharjee, Subhra
  • Kling, Catherine L.
  • Herriges, Joseph A.

Abstract

The paper examines the Kuhn Tucker model in the context of estimating recreation demand when the choice set it very large. It examines the temporal stability of parameter estimates using multiple years of data on trips to 127 lakes in Iowa made by households in Iowa. The study finds that for the given dataset, the estimates derived from a Kuhn-Tucker model are largely stable over time.

Suggested Citation

  • Bhattacharjee, Subhra & Kling, Catherine L. & Herriges, Joseph A., 2009. "Kuhn-Tucker Estimation of Recreation Demand – A Study of Temporal Stability," 2009 Annual Meeting, July 26-28, 2009, Milwaukee, Wisconsin 49408, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea09:49408
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    File URL: http://purl.umn.edu/49408
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    References listed on IDEAS

    as
    1. Morey, Edward R, 1984. "The Choice of Ski Areas: Estimation of a Generalized CES Preference Ordering with Characteristics," The Review of Economics and Statistics, MIT Press, vol. 66(4), pages 584-590, November.
    2. Kling, Catherine L. & Bockstael, Nancy & Hanemann, W. Michael, 1987. "Estimating the Value of Water Quality Improvements in a Recreational Demand Framework," Staff General Research Papers Archive 1594, Iowa State University, Department of Economics.
    3. Herriges, Joseph A. & Kling, Catherine L. & Phaneuf, Daniel J., 2004. "What's the use? welfare estimates from revealed preference models when weak complementarity does not hold," Journal of Environmental Economics and Management, Elsevier, vol. 47(1), pages 55-70, January.
    4. Herriges, Joseph A. & Phaneuf, Daniel J. & Tobias, Justin L., 2008. "Estimating demand systems when outcomes are correlated counts," Journal of Econometrics, Elsevier, vol. 147(2), pages 282-298, December.
    5. von Haefen R.H. & Phaneuf D.J. & Parsons G.R., 2004. "Estimation and Welfare Analysis With Large Demand Systems," Journal of Business & Economic Statistics, American Statistical Association, vol. 22, pages 194-205, April.
    6. Amemiya, Takeshi, 1974. "Multivariate Regression and Simultaneous Equation Models when the Dependent Variables Are Truncated Normal," Econometrica, Econometric Society, vol. 42(6), pages 999-1012, November.
    7. Morey, Edward R. & Shaw, W. Douglass & Rowe, Robert D., 1991. "A discrete-choice model of recreational participation, site choice, and activity valuation when complete trip data are not available," Journal of Environmental Economics and Management, Elsevier, vol. 20(2), pages 181-201, March.
    8. Egan, Kevin J. & Herriges, Joseph A. & Kling, Catherine L. & Downing, John A., 2004. "Recreation Demand Using Physical Measures Of Water Quality," 2004 Annual meeting, August 1-4, Denver, CO 19958, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
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    Cited by:

    1. Gebeyehu Fetene & Søren Olsen & Ole Bonnichsen, 2014. "Disentangling the Pure Time Effect From Site and Preference Heterogeneity Effects in Benefit Transfer: An Empirical Investigation of Transferability," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 59(4), pages 583-611, December.

    More about this item

    Keywords

    Recreation demand; Kuhn-Tucker; Temporal Stability; Environmental Economics and Policy; C2; Q2;

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation

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