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A Semi‐parametric Estimator of Willingness‐to‐pay Applied to Dichotomous Choice Contingent Valuation Data

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  • Michael Burton

Abstract

The use of dichotomous choice questions (Are you willing to pay $x?) has been advocated as superior to open ended questions (What would you be willing to pay?) in contingent valuation studies of non‐market goods. A supplementary dichotomous choice question, raising or lowering the bid price depending on the initial response, gives increased precision. However, a problem with these methods is that identifying the mean willingness to pay (WTP) is more complex, and often conditional on making a distributional assumption. This paper will present a semi‐parametric method for estimating WTP without invoking any such assumptions, using the interval inherent in the double bounded format, and based on estimating the underlying hazard function for the distribution of WTP. An advantage of the approach over other non‐parametric methods is that it allows one to include respondent characteristics as determinants of the individual decisions, and does so within a computationally straightforward framework.

Suggested Citation

  • Michael Burton, 2000. "A Semi‐parametric Estimator of Willingness‐to‐pay Applied to Dichotomous Choice Contingent Valuation Data," Australian Economic Papers, Wiley Blackwell, vol. 39(2), pages 200-214, June.
    • Handle: RePEc:bla:ausecp:v:39:y:2000:i:2:p:200-214
    DOI: 10.1111/1467-8454.00086
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    Cited by:

    1. Zapata, Samuel D. & Carpio, Carlos E., . "Distribution-Free Methods to Estimate Willingness to Pay Models Using Discrete Response Valuation Data," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 49(1).
    2. Loureiro, Maria L. & Loomis, John B. & Nahuelhual, Laura, 2004. "A comparison of a parametric and a non-parametric method to value a non-rejectable public good," Journal of Forest Economics, Elsevier, vol. 10(2), pages 61-74, September.
    3. Sabah Abdulla & P W Jeanty, 2009. "Demand for Electricity Connection in Rural Areas: The Case of Kenya," Department of Economics Working Papers 26/09, University of Bath, Department of Economics.
    4. Zapata, Samuel D. & Carpio, Carlos E., 2014. "Distribution-free Methods for Estimation of Willingness to Pay Models Using Discrete Response Valuation Data," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170453, Agricultural and Applied Economics Association.
    5. repec:eid:wpaper:26/09 is not listed on IDEAS
    6. Abdullah, Sabah & Jeanty, P. Wilner, 2011. "Willingness to pay for renewable energy: Evidence from a contingent valuation survey in Kenya," Renewable and Sustainable Energy Reviews, Elsevier, vol. 15(6), pages 2974-2983, August.

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