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Implications of Bid Design and Willingness-To-Pay Distribution for Starting Point Bias in Double-Bounded Dichotomous Choice Contingent Valuation Surveys

机译:双向二分选择或有估值评估中起点偏差的竞标设计和支付意愿分布的含义

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摘要

We examine starting point bias in double-bounded dichotomous choice contingent valuation surveys. We investigate (1) the seriousness of the biases for the location and scale parameters of the willingness-to-pay (WTP) in the presence of starting point bias; (2) whether or not these biases depend on the distribution of WTP and on the bid design; and (3) how well a commonly used diagnostic for starting point bias-a test of the null that bid set dummies entered in the right-hand side of the WTP model are jointly equal to zero- performs under various circumstances. Monte Carlo simulations suggest that the effect of ignoring starting point bias depends on the bid design and on the true distribution of WTP. A well-balanced, symmetric bid design may result in very modest biases even when the anchoring mechanism is very strong. The power of bid set dummies in detecting starting point bias is low. They tend to account for misspecifications in the distribution assumed by the researcher for the latent WTP, rather than capturing the presence of starting point bias.
机译:我们在有界两分法选择权评估调查中考察了起点偏差。我们研究(1)在存在起点偏差的情况下,支付意愿(WTP)的位置和规模参数的偏差的严重性; (2)这些偏差是否取决于WTP的分布和投标设计; (3)在各种情况下,通常使用的诊断起点偏差的程度(对在WTP模型右侧输入的出价组虚拟变量的零值的联合测试等于零)的性能测试。蒙特卡洛模拟表明,忽略起点偏差的影响取决于出价设计和WTP的真实分布。即使锚定机制非常牢固,平衡良好的对称投标设计也可能会导致非常小的偏差。投标组虚拟变量在检测起点偏差方面的功能很低。他们倾向于考虑研究人员假设的潜在WTP分布中的错误规格,而不是捕捉起点偏差的存在。

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