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Consequences of Using Different Question Formats in Contingent Valuation: A Monte Carlo Study

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  • Jeffrey L. Jordan
  • Abdelmoneim H. Elnagheeb

Abstract

Monte Carlo experiments were conducted to compare regression parameter and willingness-to-pay (WTP) estimates using the contingent valuation method's referendum and payment-card questioning formats. Strategic bias was controlled by making responses consistent with the true WTP. Two WTP models were constructed: linear and log-linear in explanatory variables. Based on the efficiency and mean-squared-error criteria, the payment-card model was superior to the referendum model. However, neither model outdid the other when the unbiasedness criterion was used. The performance of either model depends on the choice and distribution of the bids and payment-card categories.

Suggested Citation

  • Jeffrey L. Jordan & Abdelmoneim H. Elnagheeb, 1994. "Consequences of Using Different Question Formats in Contingent Valuation: A Monte Carlo Study," Land Economics, University of Wisconsin Press, vol. 70(1), pages 97-110.
  • Handle: RePEc:uwp:landec:v:70:y:1994:i:1:p:97-110
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    Cited by:

    1. Walid Oueslati & Nicole Madariaga & Julien Salanié, 2008. "Évaluation contingente d’aménités paysagères liées à un espace vert urbain. Une application au cas du parc Balzac de la ville d’Angers," Review of Agricultural and Environmental Studies - Revue d'Etudes en Agriculture et Environnement, INRA Department of Economics, vol. 87(2), pages 77-99.
    2. Pinuccia Calia & Elisabetta Strazzera, 2000. "Bias and efficiency of single versus double bound models for contingent valuation studies: a Monte Carlo analysis," Applied Economics, Taylor & Francis Journals, vol. 32(10), pages 1329-1336.
    3. Bandara, Ranjith & Tisdell, Clem, 2004. "The net benefit of saving the Asian elephant: a policy and contingent valuation study," Ecological Economics, Elsevier, vol. 48(1), pages 93-107, January.
    4. Bandara, Ranjith & Tisdell, Clement A., 2002. "Willingness to Pay for Conservation of the Asian Elephant in Sri Lanka: A Contingent Valuation Study," Economics, Ecology and Environment Working Papers 48738, University of Queensland, School of Economics.
    5. Kim, Hong Jin & Cho, Yongsung, 2002. "Estimating Willingness To Pay For Reduced Copper Contamination In Southwestern Minnesota," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 27(2), pages 1-14, December.
    6. Swallow, Stephen K. & Opaluch, James J. & Weaver, Thomas F., 2001. "Strength-of-Preference Indicators and an Ordered-Response Model for Ordinarily Dichotomous, Discrete Choice Data," Journal of Environmental Economics and Management, Elsevier, vol. 41(1), pages 70-93, January.
    7. P. Calia & E. Strazzera, 1998. "Bias and efficiency of single vs. double bound models for contingent valuation studies: a Monte Carlo Analysis," Working Paper CRENoS 199801, Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia.
    8. Loureiro, Maria L. & Loomis, John, 2017. "How Sensitive Are Environmental Valuations To Economic Downturns?," Ecological Economics, Elsevier, vol. 140(C), pages 235-240.
    9. Ricardo Faria & Raul Matsuhita & Jorge Nogueira & Benjamin Tabak, 2007. "Realism Versus Statistical Efficiency: A Note on Contingent Valuation with Follow-up Queries," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 35(4), pages 451-462, December.

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