Current practice in the modelling of age, period and cohort effects with panel data: a commentary on Tawfik et al. (2012), Clarke et al. (2009), and McCulloch (2012)

被引:14
作者
Bell, Andrew [1 ]
Jones, Kelvyn [1 ]
机构
[1] Univ Bristol, Ctr Multilevel Modelling, Sch Geog Sci, Bristol BS8 1SS, Avon, England
关键词
Age; period and cohort effects; Panel data; Multilevel models; Random effects models; Random coefficient models; IDENTIFICATION PROBLEM;
D O I
10.1007/s11135-013-9881-x
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
This comment assesses how age, period and cohort (APC) effects are modelled with panel data in the social sciences. It considers variations on a 2-level multilevel model which has been used to show apparent evidence for simultaneous APC effects. We show that such an interpretation is often misleading, and that the formulation and interpretation of these models requires a better understanding of APC effects and the exact collinearity present between them. This interpretation must draw on theory to justify the claims that are made. By comparing two papers which over-interpret such a model, and another that in our view interprets it appropriately, we outline best practice for researchers aiming to use panel datasets to find APC effects, with an understanding that it is impossible for any statistical model to find and separate all three effects.
引用
收藏
页码:2089 / 2095
页数:7
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