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首页> 外文期刊>Environmental & Resource Economics >Addressing Attribute Value Substitution in Discrete Choice Experiments to Avoid Unintended Consequences
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Addressing Attribute Value Substitution in Discrete Choice Experiments to Avoid Unintended Consequences

机译：在离散选择实验中寻址属性值替换，以避免意外后果

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摘要

Choice experiments are a popular method of generating stated preference data for a variety of fields from marketing to health, transportation and environmental economics. They allow researchers to systematically vary choice attributes in a manner that can both increase estimation efficiency and allay endogeneity concerns. An increasing number of studies have included elicited subjective beliefs in their stated preference models. We discuss why this strategy may be warranted in some cases, specifically when the researcher suspects subjects will engage in attribute value substitution or scenario adjustment. While there are multiple ways one could integrate subjective beliefs, in all cases a proper understanding of the econometric ramifications of their inclusion is necessary. We show that excluding subjective beliefs yields biased parameter estimates yet policy-relevant welfare measures, whereas including subjective beliefs yields unbiased parameter estimates but can generate less policy-relevant welfare estimates. We demonstrate how policy-relevant welfare measures should be calculated from models that include subjective beliefs and illustrate our theory with an application to payment for ecosystem services to farmers.
机译：选择实验是一种流行的方法，用于从营销到健康，运输和环境经济学的各种领域的所说偏好数据。它们允许研究人员以可以提高估计效率和消化内能性问题的方式系统地改变选择属性。越来越多的研究已经包括在他们所说的偏好模型中引起的主观信仰。我们讨论了为什么在某些情况下可能有权保证这种策略，特别是当研究员怀疑受试者将参与属性值替代或场景调整。虽然有多种方式可以整合主观信仰，但在所有情况下都需要正确理解他们包含的计量经济性。我们表明，不包括主观信仰产生偏见参数估计仍然是政策相关的福利措施，而在此包括主观信仰，则产生无偏见的参数估计，但可以产生更少的政策相关福利估计。我们展示了政策相关的福利措施如何从包括主观信仰的模型计算，并说明我们的理论，以申请向农民支付生态系统服务。

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