Bayesian Estimation of Willingness-to-pay Where Respondents Mis-report Their Preferences
AbstractWe introduce a modified conditional logit model that takes account of uncertainty associated with mis-reporting in revealed preference experiments estimating willingness-to-pay (WTP). Like Hausman "et al". ["Journal of Econometrics" (1988) Vol. 87, pp. 239-269], our model captures the extent and direction of uncertainty by respondents. Using a Bayesian methodology, we apply our model to a choice modelling (CM) data set examining UK consumer preferences for non-pesticide food. We compare the results of our model with the Hausman model. WTP estimates are produced for different groups of consumers and we find that modified estimates of WTP, that take account of mis-reporting, are substantially revised downwards. We find a significant proportion of respondents mis-reporting in favour of the non-pesticide option. Finally, with this data set, Bayes factors suggest that our model is preferred to the Hausman model. Copyright 2007 Blackwell Publishing Ltd and the Department of Economics, University of Oxford.
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Bibliographic InfoArticle provided by Department of Economics, University of Oxford in its journal Oxford Bulletin of Economics and Statistics.
Volume (Year): 69 (2007)
Issue (Month): 3 (06)
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- Andersson, Henrik & Tago, Damian & Treich, Nicolas, 2014.
"Pesticides and health: A review of evidence on health effects, valuation of risks, and benefit‐cost analysis,"
IDEI Working Papers
825, Institut d'Économie Industrielle (IDEI), Toulouse.
- Andersson, Henrik & Tago, Damian & Treich, Nicolas, 2014. "Pesticides and health: A review of evidence on health effects, valuation of risks, and benefit‐cost analysis," TSE Working Papers 14-477, Toulouse School of Economics (TSE).
- Kelvin Balcombe & Iain Fraser, 2009. "Dichotomous-choice contingent valuation with 'dont know' responses and misreporting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 24(7), pages 1137-1152.
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