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The Stata Journal
Volume 13 Number 1: pp. 65-76



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Within and between estimates in random-effects models: Advantages and drawbacks of correlated random effects and hybrid models

Reinhard Schunck
Department of Sociology
University of Bielefeld
Bielefeld, Germany
reinhard.schunck@uni-bielefeld.de
Abstract.  Correlated random-effects (Mundlak, 1978, Econometrica 46: 69–85; Wooldridge, 2010, Econometric Analysis of Cross Section and Panel Data [MIT Press]) and hybrid models (Allison, 2009, Fixed Effects Regression Models [Sage]) are attractive alternatives to standard random-effects and fixed-effects models because they provide within estimates of level 1 variables and allow for the inclusion of level 2 variables. I discuss these models, give estimation examples, and address some complications that arise when interaction effects are included.
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View all articles with these keywords: xtreg, xtmixed, multilevel data, panel data, fixed effects, random effects, correlated random effects, hybrid model

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