Estimating WTP With Uncertainty Choice Contingent Valuation
Aurelia Samuel and
Iain Fraser ()
Studies in Economics from School of Economics, University of Kent
A method for treating Contingent Valuation data obtained from a polychotomous response format designed to accommodate respondent uncertainty is developed. The parameters that determine the probability of indefinite responses are estimated and used to truncate utility distributions within a structural model. The likelihood function for this model is derived, along with the posterior distributions that can be used for estimation within a Bayesian Monte Carlo Markov Chain framework. We use this model to examine two data sets and test a number of model related hypotheses. Our results are consistent with those from the psychology literature relating to uncertain response: a ‘probable no’ is more likely to suggest a defiite no, than a ‘probable yes’ is likely to suggest a definite yes. We also find that ’don’t know’ responses are context dependent. Comparing the performance of the methods developed in this paper with the ordered Probit which has been previously used in the literature with this type of data we find our methods outperform the ordered Probit for one of the data sets used.
Keywords: Respondent uncertainty; multiple bound contingent valuation; Bayesian MCMC (search for similar items in EconPapers)
JEL-codes: C35 I18 Q5 (search for similar items in EconPapers)
New Economics Papers: this item is included in nep-dcm, nep-ecm and nep-mic
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