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Estimation with the nested logit model: specifications and software particularities

机译:嵌套logit模型的估计:规范和软件特性

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The paper discusses the nested logit model for choices between a set of mutually exclusive alternatives (e.g. brand choice, strategy decisions, modes of transportation, etc.). Due to the ability of the nested logit model to allow and account for similarities between pairs of alternatives, the model has become very popular for the empirical analysis of choice decisions. However the fact that there are two different specifications of the nested logit model (with different outcomes) has not received adequate attention. The utility maximization nested logit (UMNL) model and the non-normalized nested logit (NNNL) model have different properties, influencing the estimation results in a different manner. This paper introduces distinct specifications of the nested logit model and indicates particularities arising from model estimation. The effects of using various software packages on the estimation results of a nested logit model are shown using simulated data sets for an artificial decision situation.
机译:本文讨论了嵌套Logit模型,以在一组互斥的替代方案之间进行选择(例如品牌选择,战略决策,运输方式等)。由于嵌套的logit模型具有允许并考虑成对的选择之间的相似性的能力,因此该模型在选择决策的实证分析中非常受欢迎。但是,嵌套logit模型有两种不同规格(具有不同结果)的事实尚未引起足够的重视。效用最大化嵌套logit(UMNL)模型和非规范化嵌套logit(NNNL)模型具有不同的属性,以不同的方式影响估计结果。本文介绍了嵌套logit模型的不同规范,并指出了模型估计所产生的特殊性。使用针对人工决策情况的模拟数据集,显示了使用各种软件包对嵌套logit模型的估计结果的影响。

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