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
[email protected]
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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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Reinhard Schunck
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xtreg, xtmixed, multilevel data, panel data, fixed effects, random effects, correlated random effects, hybrid model
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