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Stated preference modelling of intra-household decisions: Can you more easily approximate the preference space?

机译:家庭内部决策的陈述偏好建模:您能否更轻松地估算偏好空间?

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While the study of choices focuses primarily on the individual decision maker, there is growing interest in the examination of the choices made by groups. Much of the research into the choices of multiple decision makers has revealed that they differ significantly to those of individuals. In this study of household vehicle choice we similarly compare individual choices to group choices and support this finding. Consequently any research into choices that involve groups should acquire data from those groups. In this paper we show how this may be done via an interactive agency choice experiment which makes the individual preferences endogenous to the choice of the group. This method and many like it, however, involve significant time, incentive and administrative costs that often make such studies prohibitive. In this paper we also compare another class of model, minimum information group inference, which is designed to provide an overview of the likely group choice and while not having the specificity of detail as other methods, has the advantage of being much easier and cheaper to implement and is perhaps the only methodology that can be employed when it is not feasible for respondents to interact. We find that this method is a good approximation of group choice, mapping the preference space over which group choice is likely to be located.
机译:尽管选择研究主要集中于个人决策者,但人们对检查小组做出的选择的兴趣却越来越高。对多个决策者选择的许多研究表明,它们与个人的选择有很大不同。在这项关于家用车辆选择的研究中,我们类似地将个人选择与群体选择进行比较,并支持这一发现。因此,任何涉及群体的选择研究都应从这些群体获取数据。在本文中,我们展示了如何通过交互式代理选择实验来实现这一点,该实验使个人偏好成为小组选择的内生性。但是,这种方法以及许多类似的方法都需要大量的时间,激励和管理成本,这常常使这种研究无法实现。在本文中,我们还比较了另一类模型,即最小信息组推断,该模型旨在概述可能的组选择,并且不像其他方法那样具有细节的特异性,但具有以下优点:实施,并且可能是唯一可行的方法,以使受访者无法互动。我们发现此方法是组选择的良好近似,它映射了可能位于组选择上的偏好空间。

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