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首页> 外文期刊>Environmental & Resource Economics >The Influence of Design Dimensions on Stated Choices in an Environmental Context
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The Influence of Design Dimensions on Stated Choices in an Environmental Context

机译：在环境中设计尺寸对陈述选择的影响

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摘要

Discrete choice experiments are increasingly used in the context of environmental valuation. However, there is still little known about the influence of the complexity of the choice task on model outcomes. In this paper we investigate task complexity in terms of the design dimensionality of the choice experiment by systematically varying the number of choice sets, alternatives, attributes, and levels as well as the level range. We largely follow a Design of Designs approach originally introduced in transportation. First, we analyse the influence of the design dimensionality on participants' dropout behaviour finding that the probability to drop-out of the survey is influenced by socio-demographic characteristics and increases with the number of choice sets, attributes as well as with designs having five alternatives. Second, we investigate the impact of the design dimensions on stated choices by estimating a multinomial logit model, and heteroskedastic logit models. Results show that the error term variance is influenced by socio-demographic characteristics as well as by all design dimensions. Moreover, we find that accounting for the impact of the design dimension on the error variance does not significantly change willingness to pay estimates.
机译：在环境评估中越来越多地使用离散选择实验。但是，关于选择任务的复杂性对模型结果的影响仍然知之甚少。在本文中，我们通过系统地改变选择集，备选方案，属性和级别以及级别范围的数量，根据选择实验的设计维度来研究任务的复杂性。我们很大程度上遵循最初在运输中引入的“设计设计”方法。首先，我们分析设计维度对参与者辍学行为的影响，发现退出调查的概率受社会人口统计学特征的影响，并且随选择集，属性以及具有五个设计的数量而增加备择方案。其次，我们通过估计多项式logit模型和异方差logit模型来研究设计尺寸对陈述选择的影响。结果表明，误差项方差受社会人口统计学特征以及所有设计尺寸的影响。此外，我们发现考虑到设计维度对误差方差的影响并不会显着改变支付估算的意愿。

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