Abstract
The R package feisr the function feis() to estimate fixed effects individual slope (FEIS) models. The FEIS model constitutes a more general version of the often-used fixed effects (FE) panel model, as implemented in the package ‘plm’ by Croissant and Millo (2008, doi:10.18637/jss.v027.i02). In FEIS models, data are not only person demeaned like in conventional FE models, but detrended by the predicted individual slope of each person or group. Estimation is performed by applying least squares lm() to the transformed data. For more details on FEIS models see Bruederl and Ludwig (2015, ISBN:1446252442); Frees (2001, doi:10.2307/3316008); Polachek and Kim (1994, doi:10.1016/0304-4076(94)90075-2); Ruettenauer and Ludwig (2020, doi:10.1177/0049124120926211); Wooldridge (2010, ISBN:0262294354). To test consistency of conventional FE and random effects estimators against heterogeneous slopes, the package also provides the functions feistest() for an artificial regression test and bsfeistest() for a bootstrapped version of the Hausman test.
Tobias Rüttenauer
Lecturer of Quantitative Social Science
Lecturer of Quantitative Social Science at University College London interested in Climate Change, Environmental and Urban Sociology, Spatial Methods, with ❤️ for Fixed Effects and 🚴