Covariance Structure Models for Fixed and Random Effects

Jay Teachman, Greg Duncan (), W. Jean Yeung and Dan Levy
Additional contact information
Jay Teachman: Western Washington University
W. Jean Yeung: University of Michigan
Dan Levy: Northwestern University

Sociological Methods & Research, 2001, vol. 30, issue 2, 271-288

Abstract: Fixed- and random-effects models are often used to control for unmeasured personspecific effects when examining the influence of measured covariates on an outcome. To date, different estimators are used for fixed- and random-effects models, making it difficult to choose between these two alternatives. In this article, the authors outline a covariance-structure model that captures both fixed and random effects and provides a simple test for comparing them.

Date: 2001
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Citations: View citations in EconPapers (14)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:somere:v:30:y:2001:i:2:p:271-288

DOI: 10.1177/0049124101030002005

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