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Modeling Elicitation effects in contingent valuation studies: a Monte Carlo Analysis of the bivariate approach

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  • M. Genius
  • E. Strazzera

Abstract

A Monte Carlo analysis is conducted to assess the validity of the bivariate modeling approach for detection and correction of different forms of elicitation effects in Double Bound Contingent Valuation data. Alternative univariate and bivariate models are applied to several simulated data sets, each one characterized by a specific elicitation effect, and their performance is assessed using standard selection criteria. The bivariate models include the standard Bivariate Probit model, and an alternative specification, based on the Copula approach to multivariate modeling, which is shown to be useful in cases where the hypothesis of normality of the joint distribution is not supported by the data. It is found that the bivariate approach can effectively correct elicitation effects while maintaining an adequate level of efficiency in the estimation of the parameters of interest.

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Bibliographic Info

Paper provided by Centre for North South Economic Research, University of Cagliari and Sassari, Sardinia in its series Working Paper CRENoS with number 200502.

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Date of creation: 2005
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Handle: RePEc:cns:cnscwp:200502

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Keywords: double bound; elicitation effects; bivariate models; probit; joe copula;

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References

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  1. Herriges, Joseph A. & Shogren, Jason F., 1996. "Starting Point Bias in Dichotomous Choice Valuation with Follow-Up Questioning," Journal of Environmental Economics and Management, Elsevier, vol. 30(1), pages 112-131, January.
  2. Cooper, Joseph C. & Hanemann, W.M. & Signorello, Giovanni, 2002. "One and One-Half Bound Dichotomous Choice Contingent Valuation," MPRA Paper 17190, University Library of Munich, Germany, revised Nov 2002.
  3. Carson, Richard T. & Hanemann, W. Michael, 2006. "Contingent Valuation," Handbook of Environmental Economics, in: K. G. Mäler & J. R. Vincent (ed.), Handbook of Environmental Economics, edition 1, volume 2, chapter 17, pages 821-936 Elsevier.
  4. Donald M. McLeod & Olvar Bergland, 1999. "Willingness-to-Pay Estimates Using the Double-Bounded Dichotomous-Choice Contingent Valuation Format: A Test for Validity and Precision in a Bayesian Framework," Land Economics, University of Wisconsin Press, vol. 75(1), pages 115-125.
  5. Carson, Richard T & Groves, Theodore, 2010. "Incentive and Information Properties of Preference Questions," University of California at San Diego, Economics Working Paper Series qt88d8644g, Department of Economics, UC San Diego.
  6. John C. Whitehead, 2002. "Incentive Incompatibility and Starting-Point Bias in Iterative Valuation Questions," Land Economics, University of Wisconsin Press, vol. 78(2), pages 285-297.
  7. Ruud, Paul A, 1983. "Sufficient Conditions for the Consistency of Maximum Likelihood Estimation Despite Misspecifications of Distribution in Multinomial Discrete Choice Models," Econometrica, Econometric Society, vol. 51(1), pages 225-28, January.
  8. Alberini Anna, 1995. "Efficiency vs Bias of Willingness-to-Pay Estimates: Bivariate and Interval-Data Models," Journal of Environmental Economics and Management, Elsevier, vol. 29(2), pages 169-180, September.
  9. Green, Donald & Jacowitz, Karen E. & Kahneman, Daniel & McFadden, Daniel, 1998. "Referendum contingent valuation, anchoring, and willingness to pay for public goods," Resource and Energy Economics, Elsevier, vol. 20(2), pages 85-116, June.
  10. Cameron Trudy Ann & Quiggin John, 1994. "Estimation Using Contingent Valuation Data from a Dichotomous Choice with Follow-Up Questionnaire," Journal of Environmental Economics and Management, Elsevier, vol. 27(3), pages 218-234, November.
  11. Lee, Lung-Fei, 1982. "Some Approaches to the Correction of Selectivity Bias," Review of Economic Studies, Wiley Blackwell, vol. 49(3), pages 355-72, July.
  12. Elisabetta Strazzera & Margarita Genius, 2004. "The Copula Approach to Sample Selection Modelling: An Application to the Recreational Value of Forests," Working Papers 2004.73, Fondazione Eni Enrico Mattei.
  13. Carson, Richard T & Flores, Nicholas A, 2000. "Contingent Valuation: Controversies and Evidence," University of California at San Diego, Economics Working Paper Series qt75k752s7, Department of Economics, UC San Diego.
  14. DeShazo, J. R., 2002. "Designing Transactions without Framing Effects in Iterative Question Formats," Journal of Environmental Economics and Management, Elsevier, vol. 43(3), pages 360-385, May.
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Cited by:
  1. Mary F. Evans & Christine Poulos & V. Kerry Smith, 2009. "Who Counts in Evaluating the Effects of Air Pollution Policies on Households? Non-Market Valuation in the Presence of Dependencies," NBER Working Papers 15366, National Bureau of Economic Research, Inc.
  2. Genius, Margarita & Strazzera, Elisabetta, 2011. "Can unbiased be tighter? Assessment of methods to reduce the bias-variance trade-off in WTP estimation," Resource and Energy Economics, Elsevier, vol. 33(1), pages 293-314, January.

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