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Testing the Effectiveness of Certainty Scales, Cheap Talk, and Dissonance-Minimization in Reducing Hypothetical Bias in Contingent Valuation Studies

机译:在或有评估研究中测试确定性量表,廉价谈话和减少不和谐因素的有效性,以减少假设偏见

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摘要

Stated preference methods such as contingent valuation and choice modeling are subject to various biases that may lead to differences between actual and hypothetical willingness to pay. Cheap talk, follow-up certainty scales, and dissonance minimization are three techniques for reducing this hypothetical bias. Cheap talk and certainty scales have received considerable attention in the literature, but dissonance minimization has not previously been experimentally tested. Using a four-way split sample design involving over 600 subjects, results from an actual referendum on provision of a quasi-public good were compared with three similar but contingent referenda employing the three bias-reducing techniques. Hypothetical bias was again present. Certainty scales, when properly calibrated, and dissonance minimization were found to be most effective in reducing the bias.
机译:陈述的偏好方法(如或有估值和选择模型)会受到各种偏见的影响,这些偏见可能导致实际和假设的支付意愿之间出现差异。廉价交谈,后续确定性量表和失谐最小化是减少此假设偏差的三种技术。廉价的谈话和确定性量表在文献中已受到相当多的关注,但是不谐音最小化以前尚未经过实验测试。使用涉及600多个主题的四向拆分样本设计,将提供准公共物品的实际全民投票的结果与采用三种减少偏见技术的三个类似但有条件的全民投票进行了比较。假设的偏见再次出现。当正确校准时,确定性标度和最小化失调被发现对减少偏差最有效。

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