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A Pseudo-Sequential Choice Model for Valuing Multiple Environmental Policy or Program Components in Contingent Valuation Applications

Author

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  • Volinskiy, Dmitriy
  • Bergstrom, John C.
  • Cornwell, Christopher M.

Abstract

The study proposes a discrete-choice model for environmental policy/program valuation, to be used in cases when several policies are valued sequentially. The stochastic specification of the model is consistent with the transitivity and continuity axioms of utility analysis. An empirical methodology for the model is suggested. An application of this model to WTP estimation for Little Tennessee River watershed ecosystem restoration is provided. Findings from the application agree with the hypothesized agent's behavior.

Suggested Citation

  • Volinskiy, Dmitriy & Bergstrom, John C. & Cornwell, Christopher M., 2005. "A Pseudo-Sequential Choice Model for Valuing Multiple Environmental Policy or Program Components in Contingent Valuation Applications," 2005 Annual meeting, July 24-27, Providence, RI 19109, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    • Handle: RePEc:ags:aaea05:19109
    DOI: 10.22004/ag.econ.19109
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    References listed on IDEAS

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    1. Matzkin, Rosa L, 1992. "Nonparametric and Distribution-Free Estimation of the Binary Threshold Crossing and the Binary Choice Models," Econometrica, Econometric Society, vol. 60(2), pages 239-270, March.
    2. McClennen,Edward F., 1990. "Rationality and Dynamic Choice," Cambridge Books, Cambridge University Press, number 9780521360470.
    3. Hanemann, W Michael, 1984. "Discrete-Continuous Models of Consumer Demand," Econometrica, Econometric Society, vol. 52(3), pages 541-561, May.
    4. Holmes, Thomas P. & Bergstrom, John C. & Huszar, Eric & Kask, Susan B. & Orr, Fritz III, 2004. "Contingent valuation, net marginal benefits, and the scale of riparian ecosystem restoration," Ecological Economics, Elsevier, vol. 49(1), pages 19-30, May.
    5. W. Michael Hanemann, 1984. "Welfare Evaluations in Contingent Valuation Experiments with Discrete Responses," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 66(3), pages 332-341.
    6. John P. Hoehn, 1991. "Valuing the Multidimensional Impacts of Environmental Policy: Theory and Methods," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 73(2), pages 289-299.
    7. John C. Bergstrom & John R. Stoll & Alan Randall, 1989. "Information Effects in Contingent Markets," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 71(3), pages 685-691.
    8. Matzkin, Rosa L., 1993. "Nonparametric identification and estimation of polychotomous choice models," Journal of Econometrics, Elsevier, vol. 58(1-2), pages 137-168, July.
    9. Read, Daniel & Antonides, Gerrit & van den Ouden, Laura & Trienekens, Harry, 2001. "Which Is Better: Simultaneous or Sequential Choice?," Organizational Behavior and Human Decision Processes, Elsevier, vol. 84(1), pages 54-70, January.
    10. Rosa L. Matzkin, 1988. "Nonparametric and Distribution-Free Estimation of the Binary Choice and the Threshold-Crossing Models," Cowles Foundation Discussion Papers 889, Cowles Foundation for Research in Economics, Yale University.
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    Keywords

    Environmental Economics and Policy;

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