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

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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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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  1. Trudy Ann Cameron & John Quiggin, 1992. "Estimation Using Contingent Valuation Data From a "Dichotomous Choice with Follow-Up" Questionnaire," UCLA Economics Working Papers 653, UCLA Department of Economics.
  2. 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.
  3. Joseph C. Cooper & Michael Hanemann & Giovanni Signorello, 2002. "One-and-One-Half-Bound Dichotomous Choice Contingent Valuation," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 742-750, November.
  4. Richard Carson & Theodore Groves, 2007. "Incentive and informational properties of preference questions," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 37(1), pages 181-210, May.
  5. 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.
  6. 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.
  7. 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.
  8. 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.
  9. Richard Carson & Nicholas Flores & Norman Meade, 2001. "Contingent Valuation: Controversies and Evidence," Environmental & Resource Economics, European Association of Environmental and Resource Economists, vol. 19(2), pages 173-210, June.
  10. 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.
  11. 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.
  12. 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.
  13. 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.
  14. 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.
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