Estimating variance components in Stata

This article gives a brief overview of the popular methods for estimating 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, variance components are easily obtained by using xtmixed.


Issue Date:
2005
Publication Type:
Journal Article
DOI and Other Identifiers:
st0095 (Other)
PURL Identifier:
http://purl.umn.edu/117553
Published in:
Stata Journal, Volume 06, Number 1
Page range:
1-21
Total Pages:
21

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 Record created 2017-04-01, last modified 2017-04-27

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