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Joint Estimation of Multiple CVM Scenarios under a Double Bounded Questioning Format

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  • Mary Riddel
  • John Loomis

Abstract

Contingent valuation surveys frequently ask the same respondent for willingness to pay (WTP) for either different programs or different levels of provision of a single program. When multiple scenarios are considered by the respondent, the errors in the estimates of WTP are likely to be correlated across scenarios. Failing to account for correlation may lead to erroneous inferences concerning differences in WTP. This paper presents a technique that can be used to jointly estimate WTP for multiple scenarios proposed within a survey when the double-bounded questioning format is used. Monte Carlo simulations are employed to show that estimates derived from the joint model provide lower parameter variances as well as tighter confidence intervals surrounding WTP. The model is used to estimate WTP values for data collected in telephone interviews of California residents concerning WTP for fire reduction programs in Oregon and California. Variance properties of these estimates are shown to be similar to those estimated using simulated data. Copyright Kluwer Academic Publishers 1998

Suggested Citation

  • Mary Riddel & John Loomis, 1998. "Joint Estimation of Multiple CVM Scenarios under a Double Bounded Questioning Format," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 12(1), pages 77-98, July.
  • Handle: RePEc:kap:enreec:v:12:y:1998:i:1:p:77-98
    DOI: 10.1023/A:1008228926516
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    File URL: http://hdl.handle.net/10.1023/A:1008228926516
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    References listed on IDEAS

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    1. Alberini Anna, 1995. "Efficiency vs Bias of Willingness-to-Pay Estimates: Bivariate and Interval-Data Models," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 169-180, September.
    2. 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.
    3. Hoehn John P. & Loomis John B., 1993. "Substitution Effects in the Valuation of Multiple Environmental Programs," Journal of Environmental Economics and Management, Elsevier, vol. 25(1), pages 56-75, July.
    4. Cameron Trudy Ann & Quiggin John, 1994. "Estimation Using Contingent Valuation Data from a Dichotomous Choice with Follow-Up Questionnaire," Journal of Environmental Economics and Management, Elsevier, vol. 27(3), pages 218-234, November.
    5. Cameron, Trudy Ann, 1988. "A new paradigm for valuing non-market goods using referendum data: Maximum likelihood estimation by censored logistic regression," Journal of Environmental Economics and Management, Elsevier, vol. 15(3), pages 355-379, September.
    6. Carson Richard T. & Mitchell Robert Cameron, 1995. "Sequencing and Nesting in Contingent Valuation Surveys," Journal of Environmental Economics and Management, Elsevier, vol. 28(2), pages 155-173, March.
    7. Timothy Park & John Loomis, 1996. "Joint estimation of contingent valuation survey responses," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 7(2), pages 149-162, March.
    8. Boyle Kevin J. & Welsh Michael P. & Bishop Richard C., 1993. "The Role of Question Order and Respondent Experience in Contingent-Valuation Studies," Journal of Environmental Economics and Management, Elsevier, vol. 25(1), pages 80-99, July.
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    1. repec:elg:eechap:17527_2 is not listed on IDEAS
    2. Schlapfer, Felix, 2006. "Survey protocol and income effects in the contingent valuation of public goods: A meta-analysis," Ecological Economics, Elsevier, vol. 57(3), pages 415-429, May.
    3. Diane Dupont, 2003. "CVM Embedding Effects When There Are Active, Potentially Active and Passive Users of Environmental Goods," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(3), pages 319-341, July.
    4. George Parsons & Kelley Myers, 2017. "Fat tails and truncated bids in contingent valuation: an application to an endangered shorebird species," Chapters,in: Contingent Valuation of Environmental Goods, chapter 2, pages 17-42 Edward Elgar Publishing.
    5. Desvousges, William & Mathews, Kristy & Train, Kenneth, 2012. "Adequate responsiveness to scope in contingent valuation," Ecological Economics, Elsevier, vol. 84(C), pages 121-128.
    6. Riddel, Mary C., 2001. "Simulated Maximum Likelihood For Double-Bounded Referendum Models," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 0(Number 2), pages 1-17, December.
    7. Mozumder, Pallab & Vásquez, William F. & Marathe, Achla, 2011. "Consumers' preference for renewable energy in the southwest USA," Energy Economics, Elsevier, vol. 33(6), pages 1119-1126.

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    Keywords

    old growth forest; willing to pay;

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