We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Improving the Interpretation of Random Effects Regression Results.
- Authors
Jordan, Soren; Philips, Andrew Q
- Abstract
Mummolo and Peterson improve the use and interpretation of fixed-effects models by pointing out that unit intercepts fundamentally reduce the amount of variation of variables in fixed-effects models. Along a similar vein, we make two claims in the context of random effects models. First, we show that potentially large reductions in variation, in this case caused by quasi-demeaning, also occur in models using random effects. Second, in many instances, what authors claim to be a random effects model is actually a pooled model after the quasi-demeaning process, affecting how we should interpret the model. A literature review of random effects models in top journals suggests that both points are currently not well understood. To better help users interested in improving their interpretation of random effects models, we provide Stata and R programs to easily obtain post-estimation quasi-demeaned variables.
- Subjects
RANDOM effects model; MULTILEVEL models; LATENT variables; QUASIGROUPS; VARIANCE inflation factors (Statistics)
- Publication
Political Studies Review, 2023, Vol 21, Issue 1, p210
- ISSN
1478-9299
- Publication type
Article
- DOI
10.1177/14789299211068418