When Should We Use Unit Fixed Effects Regression Models for Causal Inference with Longitudinal Data?

Many researchers use unit fixed effects regression models as their default methods for causal inference with longitudinal data. We show that the ability of these models to adjust for unobserved time-invariant confounders comes at the expense of dynamic causal relationships, which are permitted under...

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Veröffentlicht in:	American journal of political science Jg. 63; H. 2; S. 467 - 490
Hauptverfasser:	Imai, Kosuke, Kim, In Song
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Oxford Wiley Subscription Services, Inc 01.04.2019 Blackwell Publishing Ltd
Schlagworte:	AJPS WORKSHOP Causal models Causality Data analysis Economic models Estimation GATT Identification Inference Membership Regression analysis Treatment methods
ISSN:	0092-5853, 1540-5907
Online-Zugang:	Volltext
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