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

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Author Info
M. Genius
Elisabetta Strazzera ()

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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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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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Related research
Keywords: Double Bound; Elicitation effects; Bivariate models; Probit; Joe Copula;

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References listed on IDEAS
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  1. 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. [Downloadable!]
  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. [Downloadable!] (restricted)
  3. 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. [Downloadable!] (restricted)
  4. 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. [Downloadable!] (restricted)
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  5. 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, 07. [Downloadable!] (restricted)
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  6. 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. [Downloadable!] (restricted)
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  7. 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. [Downloadable!] (restricted)
  8. 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. [Downloadable!] (restricted)
  9. 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. [Downloadable!]
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  10. Lee, Lung-Fei, 1982. "Some Approaches to the Correction of Selectivity Bias," Review of Economic Studies, Blackwell Publishing, vol. 49(3), pages 355-72, July. [Downloadable!] (restricted)
  11. 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. [Downloadable!] (restricted)
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  12. Anna Alberini & Barbara Kanninen & Richard T. Carson, 1997. "Modeling Response Incentive Effects in Dichotomous Choice Contingent Valuation Data," University of California at San Diego, Economics Working Paper Series 97-07, Department of Economics, UC San Diego. [Downloadable!]
  13. 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. [Downloadable!] (restricted)
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