...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Transportation >It's not that I don't care, I just don't care very much: confounding between attribute non-attendance and taste heterogeneity
【24h】

It's not that I don't care, I just don't care very much: confounding between attribute non-attendance and taste heterogeneity

机译：并不是我不在乎，我只是不在乎：属性缺勤和品味异质之间的混淆

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

With the growing interest in the topic of attribute non-attendance, there is now widespread use of latent class (LC) structures aimed at capturing such behaviour, across a number of different fields. Specifically, these studies rely on a confirmatory LC model, using two separate values for each coefficient, one of which is fixed to zero while the other is estimated, and then use the obtained class probabilities as an indication of the degree of attribute non-attendance. In the present paper, we argue that this approach is in fact misguided, and that the results are likely to be affected by confounding with regular taste heterogeneity. We contrast the confirmatory model with an exploratory LC structure in which the values in both classes are estimated. We also put forward a combined latent class mixed logit model (LC-MMNL) which allows jointly for attribute non-attendance and for continuous taste heterogeneity. Across three separate case studies, the exploratory LC model clearly rejects the confirmatory LC approach and suggests that rates of non-attendance may be much lower than what is suggested by the standard model, or even zero. The combined LC-MMNL model similarly produces significant improvements in model fit,along with substantial reductions in the implied rate of attribute non-attendance, in some cases even eliminating the phenomena across the sample population. Our results thus call for a reappraisal of the large body of recent work that has implied high rates of attribute non-attendance for some attributes. Finally, we also highlight a number of general issues with attribute non-attendance, in particular relating to the computation of willingness to pay measures.
机译：随着人们对属性无人值守这一主题的兴趣日益浓厚，现在潜在地在许多不同领域中广泛使用旨在捕获这种行为的潜在类（LC）结构。具体而言，这些研究依赖于验证性的LC模型，每个系数使用两个单独的值，其中一个固定为零，而另一个则被估计，然后将获得的类别概率用作属性不参加程度的指标。在本文中，我们认为这种方法实际上是错误的，并且结果可能会受到常规口味异质性的混杂影响。我们将验证模型与探索性LC结构进行对比，在该结构中，两个类别中的值均被估算。我们还提出了一种组合的潜在类混合logit模型（LC-MMNL），该模型可以共同实现属性的缺勤和连续的味觉异质性。在三个单独的案例研究中，探索性LC模型明显拒绝了LC验证方法，并表明无人值守率可能远低于标准模型所建议的值，甚至为零。组合的LC-MMNL模型类似地显着改善了模型拟合，同时显着降低了属性缺勤的隐含率，在某些情况下甚至消除了整个样本群体中的现象。因此，我们的结果要求对大量的近期工作进行重新评估，这暗示了某些属性对属性的缺勤率很高。最后，我们还重点介绍了属性缺勤的一些一般性问题，尤其是与支付意愿的计算有关的问题。

著录项

  • 来源
    《Transportation》 |2013年第3期|583-607|共25页
  • 作者

    Stephane Hess; Amanda Stathopoulos; Danny Campbell; Vikki ONeill; Sebastian Caussade;

  • 作者单位

    Institute for Transport Studies, University of Leeds, Leeds, UK;

    Transport and Mobility Laboratory (TRANSP-OR), School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Federate de Lausanne (EPFL), Lausanne, Switzerland;

    Gibson Institute for Land, Food and Environment, Queens University Belfast, Belfast, UK;

    Medical Research Council Biostatistics Unit, Institute of Public Health, Cambridge, UK;

    LAN Airlines, Caussade Coudeu, Vancouver, BC, Canada;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    choice modelling; stated choice; attribute non-attendance; attributeignoring; taste heterogeneity;

    机译：选择建模;陈述的选择;归因于缺席;忽略属性味觉异质性;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号