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Allowing for Zeros in Dichotomous-Choice Contingent-Valuation Models

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  • Werner, Megan

Abstract

Dichotomous-choice contingent-valuation data are modeled using a mixture distribution. The standard parametric survival model is modified such that respondents in the lowest willingness-to-pay category may have either zero willingness to pay or a small positive willingness to pay. In comparison to the standard model, the mixture model leads to a dramatic reduction in estimates of mean willingness to pay. Covariates such as income are found to be more significant in determining the positive portion of the distribution of willingness to pay.

Suggested Citation

  • 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.
  • Handle: RePEc:bes:jnlbes:v:17:y:1999:i:4:p:479-86
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    Cited by:

    1. Álvarez Díaz, Marcos & González Gómez, Manuel & Saavedra González, Ángeles & De Uña Álvarez, Jacobo, 2010. "On dichotomous choice contingent valuation data analysis: Semiparametric methods and Genetic Programming," Journal of Forest Economics, Elsevier, vol. 16(2), pages 145-156, April.
    2. Swait, Joffre, 2009. "Choice models based on mixed discrete/continuous PDFs," Transportation Research Part B: Methodological, Elsevier, vol. 43(7), pages 766-783, August.
    3. Johannes Reichl & Sylvia Frühwirth-Schnatter, 2012. "A censored random coefficients model for the detection of zero willingness to pay," Quantitative Marketing and Economics (QME), Springer, vol. 10(2), pages 259-281, June.
    4. Jean-Claude Thill & Chunhua Wang, 2011. "Understanding Willingness to Support Higher Taxes for Urban Transportation Services: The Case of an American City," ERSA conference papers ersa11p1449, European Regional Science Association.
    5. Richard T. Carson & Robert Cameron Mitchell, 2006. "Public Preferences Toward Environmental Risks: The Case of Trihalomethanes," Chapters,in: Handbook on Contingent Valuation, chapter 19 Edward Elgar Publishing.
    6. Alok Bohara & Joe Kerkvliet & Robert Berrens, 2001. "Addressing Negative Willingness to Pay in Dichotomous Choice Contingent Valuation," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 20(3), pages 173-195, November.
    7. Nick Hanley & Sergio Colombo & Bengt Kriström & Fiona Watson, 2009. "Accounting for Negative, Zero and Positive Willingness to Pay for Landscape Change in a National Park," Journal of Agricultural Economics, Wiley Blackwell, vol. 60(1), pages 1-16.
    8. Berrens, Robert P. & Bohara, Alok K. & Jenkins-Smith, Hank C. & Silva, Carol L. & Weimer, David L., 2004. "Information and effort in contingent valuation surveys: application to global climate change using national internet samples," Journal of Environmental Economics and Management, Elsevier, vol. 47(2), pages 331-363, March.
    9. Sun, Chuanwang & Yuan, Xiang & Yao, Xin, 2016. "Social acceptance towards the air pollution in China: Evidence from public's willingness to pay for smog mitigation," Energy Policy, Elsevier, vol. 92(C), pages 313-324.
    10. Richard T. Carson, 2011. "Contingent Valuation," Books, Edward Elgar Publishing, number 2489.
    11. Elisabetta Strazzera & Margarita Genius & Riccardo Scarpa & George Hutchinson, 2003. "The Effect of Protest Votes on the Estimates of WTP for Use Values of Recreational Sites," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 25(4), pages 461-476, August.
    12. Liu, Jin-Tan & Tsou, Meng-Wen & Hammitt, James K., 2009. "Willingness to pay for weight-control treatment," Health Policy, Elsevier, vol. 91(2), pages 211-218, July.
    13. 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.
    14. Henrik Andersson & James Hammitt & Gunnar Lindberg & Kristian Sundström, 2013. "Willingness to Pay and Sensitivity to Time Framing: A Theoretical Analysis and an Application on Car Safety," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, pages 437-456.
    15. Pere Riera & Raúl Brey & Guillermo Gándara, 2008. "Bid design for non-parametric contingent valuation with a single bounded dichotomous choice format," Hacienda Pública Española, IEF, vol. 186(3), pages 43-60, October.
    16. Madureira, Lívia & Nunes, Luis C. & Borges, José G. & Falcão, André O., 2011. "Assessing forest management strategies using a contingent valuation approach and advanced visualisation techniques: A Portuguese case study," Journal of Forest Economics, Elsevier, vol. 17(4), pages 399-414.
    17. Carson, Richard T. & Louviere, Jordan J., 2014. "Statistical properties of consideration sets," Journal of choice modelling, Elsevier, vol. 13(C), pages 37-48.
    18. Laura Nahuelhual-Muñoz & Maria Loureiro & John Loomis, 2004. "Addressing Heterogeneous Preferences Using Parametric Extended Spike Models," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 27(3), pages 297-311, March.
    19. Johannes Diederich & Timo Goeschl, 2014. "Willingness to Pay for Voluntary Climate Action and Its Determinants: Field-Experimental Evidence," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 57(3), pages 405-429, March.
    20. David L. Weimer & Aidan R. Vining & Randall K. Thomas, 2009. "Cost-benefit analysis involving addictive goods: contingent valuation to estimate willingness-to-pay for smoking cessation," Health Economics, John Wiley & Sons, Ltd., vol. 18(2), pages 181-202.
    21. Glenn Harrison & E. Rutström, 2009. "Expected utility theory and prospect theory: one wedding and a decent funeral," Experimental Economics, Springer;Economic Science Association, vol. 12(2), pages 133-158, June.
    22. repec:gam:jsusta:v:9:y:2017:i:8:p:1348-:d:106640 is not listed on IDEAS
    23. Chandra Kiran B. Krishnamurthy & Bengt Kriström, 2016. "Determinants of the Price-Premium for Green Energy: Evidence from an OECD Cross-Section," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 64(2), pages 173-204, June.

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