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Bid design for non-parametric contingent valuation with a single bounded dichotomous choice format

Author

Listed:
  • Pere Riera

    (Universitat Autònoma de Barcelona)

  • Raúl Brey

    (Universidad Pablo de Olavide)

  • Guillermo Gándara

    (EGAP, Tecnológico de Monterrey)

Abstract

This paper examines how the number of different bids used in a dichotomous choice contingent valuation exercise influences the non-parametric estimation of the mean willingness to pay. This task has been undertaken by several simulation experiments that combine different non-parametric procedures, number of bids, bid distribution, sample sizes, and willingness to pay distributions over the simulated population. The criteria used to analyze the effect of the number of bids in each experiment are (1) the mean square error of the differences between the actual and estimated mean maximum willingness to pay, and (2) an equality test between actual and estimated mean willingness to pay. The main conclusion is that it is advisable to use a larger number of distinct bids than currently practiced for the non-parametric procedures.

Suggested Citation

  • Pere Riera & Raúl Brey & Guillermo Gándara, 2008. "Bid design for non-parametric contingent valuation with a single bounded dichotomous choice format," Hacienda Pública Española / Review of Public Economics, IEF, vol. 186(3), pages 43-60, October.
    • Handle: RePEc:hpe:journl:y:2008:v:186:i:3:p:43-60
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    References listed on IDEAS

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    1. Cooper, Joseph C., 2002. "Flexible Functional Form Estimation of Willingness to Pay Using Dichotomous Choice Data," Journal of Environmental Economics and Management, Elsevier, vol. 43(2), pages 267-279, March.
    2. Bengt Kristrom, 1990. "A Non-Parametric Approach to the Estimation of Welfare Measures in Discrete Response Valuation Studies," Land Economics, University of Wisconsin Press, vol. 66(2), pages 135-139.
    3. Casey, James F. & Kahn, James R. & Rivas, Alexandre, 2006. "Willingness to pay for improved water service in Manaus, Amazonas, Brazil," Ecological Economics, Elsevier, vol. 58(2), pages 365-372, June.
    4. Werner, Megan, 1999. "Allowing for Zeros in Dichotomous-Choice Contingent-Valuation Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 479-486, October.
    5. Mark Yuying An, 2000. "A Semiparametric Distribution for Willingness to Pay and Statistical Inference with Dichotomous Choice Contingent Valuation Data," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 82(3), pages 487-500.
    6. Chen, Heng Z. & Randall, Alan, 1997. "Semi-nonparametric estimation of binary response models with an application to natural resource valuation," Journal of Econometrics, Elsevier, vol. 76(1-2), pages 323-340.
    7. Mattias Boman & Göran Bostedt & Bengt Kriström, 1999. "Obtaining Welfare Bounds in Discrete-Response Valuation Studies: A Non-Parametric Approach," Land Economics, University of Wisconsin Press, vol. 75(2), pages 284-294.
    8. Creel, Michael & Loomis, John, 1997. "Semi-nonparametric Distribution-Free Dichotomous Choice Contingent Valuation," Journal of Environmental Economics and Management, Elsevier, vol. 32(3), pages 341-358, March.
    9. Jorge Arana & Carmelo Leon, 2006. "Modelling unobserved heterogeneity in contingent valuation of health risks," Applied Economics, Taylor & Francis Journals, vol. 38(19), pages 2315-2325.
    10. Brouwer, Roy, 2006. "Do stated preference methods stand the test of time? A test of the stability of contingent values and models for health risks when facing an extreme event," Ecological Economics, Elsevier, vol. 60(2), pages 399-406, December.
    11. Anna Alberini, 1995. "Testing Willingness-to-Pay Models of Discrete Choice Contingent Valuation Survey Data," Land Economics, University of Wisconsin Press, vol. 71(1), pages 83-95.
    12. Cooper Joseph C., 1993. "Optimal Bid Selection for Dichotomous Choice Contingent Valuation Surveys," Journal of Environmental Economics and Management, Elsevier, vol. 24(1), pages 25-40, January.
    13. 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.
    14. Daniel McFadden, 1994. "Contingent Valuation and Social Choice," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 689-708.
    15. Hanemann, W. Michael & Kanninen, Barbara, 1996. "The Statistical Analysis Of Discrete-Response Cv Data," CUDARE Working Papers 25022, University of California, Berkeley, Department of Agricultural and Resource Economics.
    16. Menegaki, Angeliki N. & Hanley, Nick & Tsagarakis, Konstantinos P., 2007. "The social acceptability and valuation of recycled water in Crete: A study of consumers' and farmers' attitudes," Ecological Economics, Elsevier, vol. 62(1), pages 7-18, April.
    17. 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.
    18. Barbara J. Kanninen, 1993. "Optimal Experimental Design for Double-Bounded Dichotomous Choice Contingent Valuation," Land Economics, University of Wisconsin Press, vol. 69(2), pages 138-146.
    19. Bengt Kriström, 1997. "Spike Models in Contingent Valuation," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(3), pages 1013-1023.
    20. Isabel Proenca & Joao Santos Silva, 2005. "Parametric and semiparametric specification tests for binary choice models: a comparative simulation study," Econometrics 0508008, University Library of Munich, Germany.
    21. Riccardo Scarpa & Kenneth Willis & Guy Garrod, 2001. "Estimating Benefits for Effective Enforcement of Speed Reduction from Dichotomous-Choice CV," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(4), pages 281-304, December.
    22. Arana, Jorge E. & Leon, Carmelo J., 2005. "Flexible mixture distribution modeling of dichotomous choice contingent valuation with heterogenity," Journal of Environmental Economics and Management, Elsevier, vol. 50(1), pages 170-188, July.
    23. John W. Duffield & David A. Patterson, 1991. "Inference and Optimal Design for a Welfare Measure in Dichotomous Choice Contingent Valuation," Land Economics, University of Wisconsin Press, vol. 67(2), pages 225-239.
    24. Salvador Del Saz-Salazar & Leandro Garcia-Menendez, 2001. "Willingness to Pay for Environmental Improvements in a Large City Evidence from The Spike Model and From a Non-Parametric Approach," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(2), pages 103-112, October.
    25. Bill Provencher & Kenneth A. Baerenklau & Richard C. Bishop, 2002. "A Finite Mixture Logit Model of Recreational Angling with Serially Correlated Random Utility," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 84(4), pages 1066-1075.
    26. Joel L. Horowitz & N. E. Savin, 2001. "Binary Response Models: Logits, Probits and Semiparametrics," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 43-56, Fall.
    27. Anni Huhtala, 2000. "Binary Choice Valuation Studies with Heteregeneous Preferences Regarding the Program Being Valued," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 16(3), pages 263-279, July.
    28. John Crooker & Joseph Herriges, 2004. "Parametric and Semi-Nonparametric Estimation of Willingness-to-Pay in the Dichotomous Choice Contingent Valuation Framework," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(4), pages 451-480, April.
    29. Teofilo Ozuna & Kee Yoon Jang & John R. Stoll, 1993. "Testing for Misspecification in the Referendum Contingent Valuation Approach," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(2), pages 332-338.
    30. Bishop, Richard C. & Heberlein, Thomas A., 1979. "Measuring Values Of Extramarket Goods: Are Indirect Measures Biased?," 1979 Annual Meeting, July 29-August 1, Pullman, Washington 277818, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    31. Richard C. Bishop & Thomas A. Heberlein, 1979. "Measuring Values of Extramarket Goods: Are Indirect Measures Biased?," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 61(5), pages 926-930.
    32. Riccardo Scarpa & Ian Bateman, 2000. "Efficiency Gains Afforded by Improved Bid Design versus Follow-up Valuation Questions in Discrete-Choice CV Studies," Land Economics, University of Wisconsin Press, vol. 76(2), pages 299-311.
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    More about this item

    Keywords

    non-parametric methods; bid design; Contingent valuation method; Monte Carlo simulation;
    All these keywords.

    JEL classification:

    • D62 - Microeconomics - - Welfare Economics - - - Externalities
    • Q51 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Valuation of Environmental Effects

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