Maximum simulated likelihood: Introduction to a special issue

David Drukker

Stata Journal, 2006, vol. 6, issue 2, 153-155

Abstract: This article gives a brief overview of the popular methods for esti- mating variance components in linear models and describes several ways to obtain such estimates in Stata for various experimental designs. The article’s emphasis is on using xtmixed to estimate variance components. Prior to Stata 9, loneway could be used to estimate variance components for one-way random-effects models. For other experimental designs, variance components could be computed manually using saved results after anova. The latter approach is viable but requires tedious computations for complicated experimental designs. Instead, as of Stata 9, vari- ance components are easily obtained by using xtmixed. Copyright 2006 by StataCorp LP.

Keywords: variance components; experimental design; ANOVA; REML; ML; multilevel; random coefficients; mixed models (search for similar items in EconPapers)
Date: 2006
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Citations: View citations in EconPapers (2)

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