Improving the Interpretation of Random Effects Regression Results

Mummolo and Peterson improve the use interpretation of fixed-effects models by pointing out that unit intercepts fundamentally reduce amount variation variables in models. Along a similar vein, we make two claims context random effects First, show potentially large reductions variation, this case caused quasi-demeaning, also occur using effects. Second, many instances, what authors claim to be model is actually pooled after quasi-demeaning process, affecting how should interpret model. A literature review top journals suggests both points are currently not well understood. To better help users interested improving their models, provide Stata R programs easily obtain post-estimation quasi-demeaned variables.