Learning design contingent valuation (LDCV): NOAA guidelines, preference learning and coherent arbitrariness

Ian J. Bateman (), Diane Burgess, W. George Hutchinson and David . Matthews

Journal of Environmental Economics and Management, 2008, vol. 55, issue 2, pages 127-141

Abstract: We extend the contingent valuation (CV) method to test three differing conceptions of individuals' preferences as either (i) a-priori well-formed or readily divined and revealed through a single dichotomous choice question (as per the NOAA CV guidelines [K. Arrow, R. Solow, P.R. Portney, E.E. Leamer, R. Radner, H. Schuman, Report of the NOAA panel on contingent valuation, Fed. Reg. 58 (1993) 4601-4614]); (ii) learned or [`]discovered' through a process of repetition and experience [J.A. List, Does market experience eliminate market anomalies? Q. J. Econ. (2003) 41-72; C.R. Plott, Rational individual behaviour in markets and social choice processes: the discovered preference hypothesis, in: K. Arrow, E. Colombatto, M. Perleman, C. Schmidt (Eds.), Rational Foundations of Economic Behaviour, Macmillan, London, St. Martin's, New York, 1996, pp. 225-250]; (iii) internally coherent but strongly influenced by some initial arbitrary anchor [D. Ariely, G. Loewenstein, D. Prelec, [`]Coherent arbitrariness': stable demand curves without stable preferences, Q. J. Econ. 118(1) (2003) 73-105]. Findings reject both the first and last of these conceptions in favour of a model in which preferences converge towards standard expectations through a process of repetition and learning. In doing so, we show that such a [`]learning design CV' method overturns the [`]stylised facts' of bias and anchoring within the double bound dichotomous choice elicitation format.

Date: 2008
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