Learning design contingent valuation (LDCV): NOAA guidelines, preference learning and coherent arbitrariness
Learning design contingent valuation (LDCV): NOAA guidelines, preference learning and coherent arbitrariness
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DOI：
10.1016/j.jeem.2007.08.003
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发表时间：
2008-03-01
影响因子：
4.6
通讯作者：
Matthews, David I.
中科院分区：
文献类型：
--
作者：
Bateman, Ian J.;Burgess, Diane;Matthews, David I.
我们扩展了条件估值（CV）方法，以测试三种不同的个人偏好概念：（i）先验的良好形成或容易预测，并通过一个单一的二分法选择问题（根据NOAA CV指南[K.阿罗河Solow，P.R. Portney，E.E.勒纳河Radner，H. Schuman，NOAA或有估值小组报告，美联储。58（1993）4601-4614]）;（ii）通过重复和经验的过程而学习或“发现”[J.A.市场经验能消除市场异常现象吗？Q.（2003）41-72; C.R. Plott，市场和社会选择过程中的理性个体行为：发现的偏好假设，在：K。Arrow，E. Colombatto，M.佩尔曼角施密特（编辑），《经济行为的理性基础》，麦克米伦，伦敦，圣马丁，纽约，1996年，页。225-250];（iii）内部相干但受某些初始任意锚的强烈影响[D. Ariely，G. Loewenstein，D.一致的任意性：没有稳定偏好的稳定需求曲线。118（1）（2003）73-105]。研究结果拒绝了第一个和最后一个这些概念，有利于一个模型，在该模型中，偏好收敛到标准的期望，通过重复和学习的过程。在这样做的过程中，我们表明，这样一个“学习设计CV方法推翻了”风格化的事实“的偏见和锚定在双约束二分法选择启发格式。(C)2007年爱思唯尔公司All rights reserved.
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. Learner, 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(l) (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. (C) 2007 Elsevier Inc. All rights reserved.