Let's Talk About Fixed Effects: Let's Talk About All the Good Things and the Bad Things

被引:0
|
作者
Collischon, Matthias [1 ]
Eberl, Andreas [2 ]
机构
[1] Friedrich Alexander Univ Erlangen Nurnberg, Lange Gasse 20, D-90403 Nurnberg, Germany
[2] Friedrich Alexander Univ Erlangen Nurnberg, Findelgasse 7-9, D-90403 Nurnberg, Germany
关键词
Fixed effects; Quantitative methods; Causality; Panel data; Exogeneity; CAUSAL INFERENCE; PANEL-DATA; BIAS;
D O I
10.1007/s11577-020-00699-8
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
With the broader availability of panel data, fixed effects (FE) regression models are becoming increasingly important in sociology. However, in some studies the potential pitfalls of these models may be ignored, and common critiques of FE models may not always be applicable in comparison to other methods. This article provides an overview of linear FE models and their pitfalls for applied researchers. Throughout the article, we contrast FE and classical pooled ordinary least squares (OLS) models. We argue that in most cases FE models are at least as good as pooled OLS models. Therefore, we encourage scholars to use FE models if possible. Nevertheless, the limitations of FE models should be known and considered.
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页码:289 / 299
页数:11
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