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Using an integrated choice and latent variable model to understand the impact of 'professional' respondents in a stated preference survey

机译:使用综合选择和潜变模型来了解“专业”受访者在所述偏好调查中的影响

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摘要

Internet panels are increasingly used for stated preference research. Because members of such panels receive compensation for each completed survey, one concern is that over time this creates professional respondents who answer surveys solely for the monetary compensation. We identify professional respondents using data on panel tenure, survey response frequency, completion rate and total number of completed surveys. We find evidence of two types of professional respondents: "hyperactives" who answer surveys frequently and "experienced" who have long panel tenure and a large number of completed surveys. Using an integrated choice and latent variable model on stated preference survey data, we find that "hyperactive" respondents are less likely to choose the 'status quo' and have a more stochastic choice process as seen from the econometrician's point of view, whereas "experienced" respondents have a relatively more deterministic choice process. Our results show that "hyperactive" respondents significantly impact estimated values. (C) 2020 Elsevier B.V. All rights reserved.
机译:互联网面板越来越多地用于所述偏好研究。由于此类面板的成员获得每个已完成的调查的补偿,因此一个问题是随着时间的推移,这会创造专业受访者,他们仅适用于货币赔偿。我们使用关于面板任期的数据,调查响应频率,完成率和完成调查总数的数据识别专业受访者。我们发现两种类型的专业受访者的证据:“多种疟疾”经常回答调查和“经验丰富的”,他们有长小组任权和大量完成的调查。使用综合选择和潜在的变量模型对所说的偏好调查数据,我们发现“过度活跃”的受访者不太可能选择“现状”,并具有从经济学家的观点来看的更随机选择过程,而“经验丰富“受访者具有比较多的确定性选择过程。我们的结果表明,“过度活跃”受访者显着影响估计值。 (c)2020 Elsevier B.V.保留所有权利。

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