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

• Autores: Reinhard Schunck
• Localización: The Stata journal, ISSN 1536-867X, Vol. 13, Nº. 1, 2013, págs. 65-76
• Idioma: inglés
• DOI: 10.1177/1536867x1301300105
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• Dialnet Métricas: 3 Citas
• Resumen

  • 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