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Discrete choice survey experiments: A comparison using flexible methods

机译:离散选择调查实验:使用灵活方法的比较

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This study investigates the convergent validity of discrete choice contingent valuation (CV) and contingent rating/ranking (CR) methods using flexible econometric methods. Our results suggest that CV and CR can produce consistent data (achieve convergent validity) when respondent's preferred choices and the same changes in environmental quality are considered. We also find that CR models that go beyond modeling the preferred choice and include additional ranks cannot be pooled with the CV models. Accounting for preference heterogeneity via random coefficient models and their flexible structure does not make rejection of the hypothesis of convergent validity less likely, but instead rejects the hypothesis to about the same degree or perhaps more frequently than fixed parameter models commonly used in the literature.
机译:这项研究调查使用灵活的计量经济学方法的离散选择或有评估(CV)和或有评级/等级(CR)方法的收敛有效性。我们的结果表明,当考虑受访者的偏好选择和环境质量的相同变化时,CV和CR可以产生一致的数据(达到收敛的有效性)。我们还发现,超出建模首选范围并包含其他等级的CR模型无法与CV模型合并。通过随机系数模型和其灵活的结构考虑偏好异质性,不会使收敛效度假设遭到拒绝的可能性降低,相反,与文献中通常使用的固定参数模型相比,否定假设的可能性大致相同或更高。

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