The Problem of Time Dependent Explanatory Variables at the Context-Level in Discrete Time Multilevel Event History Analysis: A Comparison of Models Considering Mobility Between Local Labour Markets as an Example
The Problem of Time Dependent Explanatory Variables at the Context-Level in Discrete Time Multilevel Event History Analysis: A Comparison of Models Considering Mobility Between Local Labour Markets as an Example
复制标题
离散时间多层次事件历史分析中情境层面的时变解释变量问题：以本地劳动力市场流动为例的模型比较
DOI：
10.1007/s11135-005-6018-x
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发表时间：
2006
影响因子：
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通讯作者：
Michael Windzio
中科院分区：
文献类型：
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作者：
Michael Windzio
本文讨论了如何在多级事件历史模型中包含上下文级别的时间相关解释变量的问题。一般情况下，多水平模型中的背景水平解释变量被假定为时间常数。只有时间常数上下文水平的解释变量执行的任务，减少上下文水平的误差方差。因此，建议将分析扩展到三级模型。在该模型中，人的时间段构成1级单元，上下文的时间段构成2级单元，并且上下文本身构成3级单元-其中2级单元依次被聚类。考虑到当地劳动力市场之间的流动性作为一个例子，四种不同的建模方法随时间变化的上下文层次的变量进行了比较。其结果是，所提出的三能级模型导致最保守的结果。
The paper deals with the question of how to include time dependent explanatory variables at the context-level in multilevel event history models. In general, context-level explanatory variables in multilevel models are assumed to be time constant. Only time constant context-level explanatory variables perform the task of reducing context-level error variance. Thus, it will be suggested that the analysis should be extended to a three-level model. In this model, time periods of persons constitute level 1 units, time periods of contexts constitute level 2 units and the contexts themselves constitute level 3 units – in which in turn level 2 units are clustered. Considering mobility between local labour markets as an example, four different ways of modelling time varying context-level variables are compared. The result is that the proposed three-level model leads to the most conservative results.