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Optimal Designs of Discrete Response Experiments in Contingent Valuation Studies

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  • Nyquist, Hans

Abstract

Optimal designs for estimating model parameters and other characteristics such as mean and median willingness-to-pay are discussed.when a logistic or a probit regression model is used for analyzing a contingent valuation study with discrete questions. A numerical example, related to a study of the value of preserving some virgin forests in Sweden, illustrates the efficiencies of different designs and how a sequential procedure can be applied. Copyright 1992 by MIT Press.

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  • Nyquist, Hans, 1992. "Optimal Designs of Discrete Response Experiments in Contingent Valuation Studies," The Review of Economics and Statistics, MIT Press, vol. 74(3), pages 559-563, August.
    • Handle: RePEc:tpr:restat:v:74:y:1992:i:3:p:559-63
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    Cited by:

    1. Kim, Sooil, 2006. "Bias and Efficiency of Uniform Bid Design in Contingent Valuation," 2006 Annual meeting, July 23-26, Long Beach, CA 21335, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    2. Silvia Ferrini & Riccardo Scarpa, 2005. "Experimental Designs for Environmental Valuation with Choice-Experiments: A Monte-Carlo Investigation," Working Papers in Economics 05/08, University of Waikato.
    3. Christine A. Kennedy, 2002. "Revealed preference valuation compared to contingent valuation: radon‐induced lung cancer prevention," Health Economics, John Wiley & Sons, Ltd., vol. 11(7), pages 585-598, October.
    4. Danaf, Mazen & Guevara, Angelo & Atasoy, Bilge & Ben-Akiva, Moshe, 2020. "Endogeneity in adaptive choice contexts: Choice-based recommender systems and adaptive stated preferences surveys," Journal of choice modelling, Elsevier, vol. 34(C).
    5. Danny Campbell & George Hutchinson & Riccardo Scarpa, 2006. "Benefit Estimates For Landscape Improvements: Sequential Bayesian Design And Respondents’ Rationality In A Choice Experiment Study," Working Papers 0606, Rural Economy and Development Programme,Teagasc.
    6. Ferrini, Silvia & Scarpa, Riccardo, 2007. "Designs with a priori information for nonmarket valuation with choice experiments: A Monte Carlo study," Journal of Environmental Economics and Management, Elsevier, vol. 53(3), pages 342-363, May.
    7. Eulàlia Dalmau‐Matarrodona, 2001. "Alternative approaches to obtain optimal bid values in contingent valuation studies and to model protest zeros. Estimating the determinants of individuals' willingness to pay for home care services in," Health Economics, John Wiley & Sons, Ltd., vol. 10(2), pages 101-118, March.
    8. Felipe Vásquez & Walter Gómez & Hugo Salgado & Carlos Chávez, 2013. "Using Stated Preference Methods to Design Cost-Effective Subsidy Programs to Induce Technology Adoption. An Application to a Stove Program in Southern Chile," Past Working Papers 12, Universidad del Desarrollo, School of Business and Economics, revised 2015.
    9. Danny Campbell & W. George Hutchinson & Riccardo Scarpa, 2006. "Lexicographic Preferences in Discrete Choice Experiments: Consequences on Individual-Specific Willingness to Pay Estimates," Working Papers 2006.128, Fondazione Eni Enrico Mattei.
    10. John R. Crooker & Aju J. Fenn, 2008. "Estimating Local Welfare Generated by a Professional Sports Team: An Application to the Minnesota Vikings under Threat of Relocation," Working Papers 0805, University of Central Missouri, Department of Economics & Finance, revised May 2008.
    11. Schwarzinger, Michaël & Carrat, Fabrice & Luchini, Stéphane, 2009. ""If you have the flu symptoms, your asymptomatic spouse may better answer the willingness-to-pay question": Evidence from a double-bounded dichotomous choice model with heterogeneous anchori," Journal of Health Economics, Elsevier, vol. 28(4), pages 873-884, July.
    12. Riccardo Scarpa & Danny Campbell & W. George Hutchinson, 2007. "Benefit Estimates for Landscape Improvements: Sequential Bayesian Design and Respondents’ Rationality in a Choice Experiment," Land Economics, University of Wisconsin Press, vol. 83(4), pages 617-634.
    13. Vásquez-Lavín, Felipe & Carrasco, Moisés & Barrientos, Manuel & Gelcich, Stefan & Ponce Oliva, Roberto D., 2021. "Estimating discount rates for environmental goods: Are People’s responses inadequate to frequency of payments?," Journal of Environmental Economics and Management, Elsevier, vol. 107(C).
    14. 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.
    15. Richard D. Smith, 2000. "The Discrete-choice Willingness-to-pay Question Format in Health Economics:," Medical Decision Making, , vol. 20(2), pages 194-204, April.
    16. Philip M. Clarke, 2002. "Testing the convergent validity of the contingent valuation and travel cost methods in valuing the benefits of health care," Health Economics, John Wiley & Sons, Ltd., vol. 11(2), pages 117-127, March.
    17. Michaël Schwarzinger & Fabrice Carrat & Stéphane Luchini, 2009. ""If you have the flu symptoms, your asymptomatic spouse may better answer the willingness-to-pay question". Evidence from a double-bounded dichotomous choice model with heterogeneous anchori," Post-Print inserm-00636179, HAL.
    18. Abay Asfaw & Joachim Braun, 2005. "Innovations in Health Care Financing: New Evidence on the Prospect of Community Health Insurance Schemes in the Rural Areas of Ethiopia," International Journal of Health Economics and Management, Springer, vol. 5(3), pages 241-253, September.
    19. Gustafsson-Wright, Emily & Asfaw, Abay & van der Gaag, Jacques, 2009. "Willingness to pay for health insurance: An analysis of the potential market for new low-cost health insurance products in Namibia," Social Science & Medicine, Elsevier, vol. 69(9), pages 1351-1359, November.
    20. Vasquez-Lavín, Felipe & Ponce Oliva, Roberto D. & Hernández, José Ignacio & Gelcich, Stefan & Carrasco, Moisés & Quiroga, Miguel, 2019. "Exploring dual discount rates for ecosystem services: Evidence from a marine protected area network," Resource and Energy Economics, Elsevier, vol. 55(C), pages 63-80.

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