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https://github.com/andyphilips/qdmean

Stata and R programs to automatically quasi-demean regressors following FGLS-RE or MLE-RE regression
https://github.com/andyphilips/qdmean

panel-data r random-effects random-effects-model stata

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Stata and R programs to automatically quasi-demean regressors following FGLS-RE or MLE-RE regression

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# qdmean
A program to automatically quasi-demean regressors following a FGLS-RE or MLE-RE regression. Available in both R and Stata

## Stata
`qdmean` is a program to automatically quasi-demean regressors following the estimation of a random effects (either using FGLS or maximum likelihood) model. This program requires you to first estimate a model using `xtreg`, with options `, re` or `, mle`. The program will automatically obtain `theta_i` and generate quasi-demeaned regressors, which are useful for post-estimation analysis. See the Stata help file for more details.

To install `qdmean` in Stata direct from Github, type the following:
```
cap ado uninstall qdmean
net install qdmean, from(https://github.com/andyphilips/qdmean/raw/main/)
```

## R
`qdmean()` in `R` requires the estimation of a random effects model using either `plm` or `lmer`. Once estimated, pass the model, predictor variable (in quotes), and grouping variable (in quotes). If using `lmer`, additionally pass the dataset used to estimate the model and the dependent variable (in quotes). For help and examples, reference `?qdmean`

To install `qdmean` in `R` direct from Github, use the `devtools` package:
```
library(devtools)
install_github(''andyphilips/qdmean'')
library(qdmean)
```

## Authors
Soren Jordan, Department of Political Science, Auburn University

Andrew Q. Philips, Department of Political Science, University of Colorado Boulder

## References
If you use `qdmean`, please cite:

Jordan, Soren and Andrew Q. Philips. 2023. "Improving the interpretation of random effects regression results." _Political Studies Review_: 21(1): 210-220.