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Parametric and Semi-Nonparametric Estimation of Willingness-To-Pay in a Contingent Valuation Framework

Author

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  • Crooker, John R.
  • Herriges, Joseph A.

Abstract

Standard procedures for extracting willingness-to-pay (WTP) from dichotomous choice CV questionnaires rely heavily upon parametric assumptions regarding the distribution and form of WTP in the sampled population. However, theory provides little guidance regarding which parametric specification to use and the resulting WTP estimates can be sensitive to the selections made. Here we compare and contrast several parametric and semi-nonparametric estimators that have been proposed in the literature, examining the sensitivity of the resulting WTP estimates to the underlying distribution of preferences and the estimation procedure employed.

Suggested Citation

  • Crooker, John R. & Herriges, Joseph A., 2004. "Parametric and Semi-Nonparametric Estimation of Willingness-To-Pay in a Contingent Valuation Framework," Staff General Research Papers Archive 11156, Iowa State University, Department of Economics.
    • Handle: RePEc:isu:genres:11156
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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. Krishna, Vijesh V. & Qaim, Matin, 2007. "Estimating the adoption of Bt eggplant in India: Who Benefits from public-private partnership?," Food Policy, Elsevier, vol. 32(5-6), pages 523-543.
    3. Silvia Ferrini & Carlo Fezzi, 2012. "Generalized Additive Models for Nonmarket Valuation via Revealed or Stated Preference Methods," Land Economics, University of Wisconsin Press, vol. 88(4), pages 782-802.
    4. Lewbel, Arthur & McFadden, Daniel & Linton, Oliver, 2011. "Estimating features of a distribution from binomial data," Journal of Econometrics, Elsevier, vol. 162(2), pages 170-188, June.
    5. Emmanuel Flachaire & Guillaume Hollard, 2006. "Controlling Starting-Point Bias in Double-Bounded Contingent Valuation Surveys," Land Economics, University of Wisconsin Press, vol. 82(1), pages 103-111.
    6. Anna Alberini, 2004. "Robustness of VSL Values from Contingent Valuation Surveys," Working Papers 2004.135, Fondazione Eni Enrico Mattei.
    7. Rohlfs, Chris & Sullivan, Ryan & Kniesner, Thomas J., 2013. "Hedonic Estimation under Very General Conditions Using Experimental and Quasi-Experimental Designs," IZA Discussion Papers 7554, Institute of Labor Economics (IZA).
    8. Víctor Gómez-Valenzuela & Francisco Alpízar & Katerin Ramirez & Solhanlle Bonilla-Duarte & Harro van Lente, 2021. "At a Conservation Crossroad: The Bahoruco-Jaragua-Enriquillo Biosphere Reserve in the Dominican Republic," Sustainability, MDPI, vol. 13(19), pages 1-20, October.
    9. Henry, Miguel & Mittelhammer, Ron & Loomis, John, 2018. "An Information-Theoretic Approach to Estimating Willingness To Pay for River Recreation Site Attributes," MPRA Paper 89842, University Library of Munich, Germany.
    10. Ahlheim, Michael & Börger, Tobias & Frör, Oliver, 2013. "The influence of ethnicity and culture on the valuation of environmental improvements: Results from a CVM study in Southwest China," FZID Discussion Papers 81-2013, University of Hohenheim, Center for Research on Innovation and Services (FZID).
    11. Halkos, George, 2012. "The use of contingent valuation in assessing marine and coastal ecosystems’ water quality: A review," MPRA Paper 42183, University Library of Munich, Germany.
    12. Martinez-Espineira, Roberto, 2006. "A Box-Cox Double-Hurdle model of wildlife valuation: The citizen's perspective," Ecological Economics, Elsevier, vol. 58(1), pages 192-208, June.
    13. Azevedo, C.D. & Crooker, J.R. & Pattiz, B., 2012. "Bid Imprecision As A Source Of Hypothetical Bias In Contingent Valuation Estimation: Analysis Of A Survey Of Respondent’S Attitudes For The Battle Of Lexington State Historic Site (Shs)," Regional and Sectoral Economic Studies, Euro-American Association of Economic Development, vol. 12(2).
    14. McIntosh, Christopher R. & Shogren, Jason F. & Finnoff, David C., 2010. "Invasive species and delaying the inevitable: Valuation evidence from a national survey," Ecological Economics, Elsevier, vol. 69(3), pages 632-640, January.
    15. Emmanuel Flachaire & Guillaume Hollard, 2007. "Model Selection in Iterative Valuation Questions," Revue d'économie politique, Dalloz, vol. 117(5), pages 853-865.
    16. Eriksen, Michael D. & Kniesner, Thomas J. & Rohlfs, Chris & Sullivan, Ryan, 2016. "Toward more general hedonic estimation: Clarifying the roles of alternative experimental designs with an application to a housing attribute," Regional Science and Urban Economics, Elsevier, vol. 57(C), pages 54-62.
    17. 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.
    18. Tanya O’Garra & Susana Mourato, 2007. "Public Preferences for Hydrogen Buses: Comparing Interval Data, OLS and Quantile Regression Approaches," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 36(4), pages 389-411, April.
    19. Martin Daniel Siyaranamual, 2013. "Social Interaction and Public Goods Provision: A Case of Waste Management in Bandung, Indonesia," Working Papers in Economics and Development Studies (WoPEDS) 201312, Department of Economics, Padjadjaran University, revised May 2013.
    20. Marcella Veronesi & Anna Alberini & Joseph Cooper, 2011. "Implications of Bid Design and Willingness-To-Pay Distribution for Starting Point Bias in Double-Bounded Dichotomous Choice Contingent Valuation Surveys," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 49(2), pages 199-215, June.
    21. Steven M. Ramsey & Jason S. Bergtold, 2021. "Examining Inferences from Neural Network Estimators of Binary Choice Processes: Marginal Effects, and Willingness-to-Pay," Computational Economics, Springer;Society for Computational Economics, vol. 58(4), pages 1137-1165, December.
    22. Gómez-Valenzuela, Víctor & Alpízar, Francisco & Bonilla, Solhanlle & Franco-Billini, Carol, 2020. "Mining conflict in the Dominican Republic: The case of Loma Miranda," Resources Policy, Elsevier, vol. 66(C).
    23. Doremus, Jacqueline, 2020. "How does eco-label competition affect environmental benefits? The case of Central Africa's forests," Journal of Environmental Economics and Management, Elsevier, vol. 103(C).

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