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

A-Tier
Journal: Journal of Environmental Economics and Management
Year: 2008
Volume: 55
Issue: 2
Pages: 127-141

Authors (4)

Bateman, Ian J. (University of Exeter) Burgess, Diane (not in RePEc) Hutchinson, W. George (not in RePEc) Matthews, David I. (not in RePEc)

Score contribution per author:

1.005 = (α=2.01 / 4 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:jeeman:v:55:y:2008:i:2:p:127-141
Journal Field
Environment
Author Count
4
Added to Database
2026-01-24