Dear R users, Are you worried about the parallel trends assumption in your panel regression? Use fixed effects individual slope models, controlling for heterogeneous trends!
I am very pleased to announce that the package feisr is now available on CRAN! CRAN: https://cran.r-project.org/package=feisr GitHub: https://github.com/ruettenauer/feisr The packages feisr provides a function to estimate fixed effects individual slope (FEIS) models. FEIS models constitute a more general version of the often used conventional fixed effects (FE) panel models. In contrast to conventional fixed effects models, data are not person demeaned, but 'detrended by the predicted individual slope of each person or group, which relaxes the assumptions of parallel trends between treated and untreated groups. We are happy about any comments or feedback! Best regards, Tobias Tobias Rüttenauer Department of Social Sciences TU Kaiserslautern Erwin-Schroedinger-Str. 57 67663 Kaiserslautern ruettena...@sowi.uni-kl.de Tel.: +49 631 205 5785 _______________________________________________ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.