CRAN/E | feisr

feisr

Estimating Fixed Effects Individual Slope Models

Installation

About

Provides 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.

Citation feisr citation info
github.com/ruettenauer/feisr
Bug report File report

Key Metrics

Version 1.3.0
R ≥ 3.4.0
Published 2022-04-01 762 days ago
Needs compilation? no
License GPL-2
License GPL-3
CRAN checks feisr results

Downloads

Yesterday 90 0%
Last 7 days 425 +10%
Last 30 days 1.472 -4%
Last 90 days 4.557 -41%
Last 365 days 23.231 -14%

Maintainer

Maintainer

Tobias Ruettenauer

ruettenauer@sowi.uni-kl.de

Authors

Tobias Ruettenauer

aut / cre

Volker Ludwig

aut

Material

README
NEWS
Reference manual
Package source

In Views

Econometrics

Vignettes

Fixed Effects Individual Slopes using feisr

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

feisr archive

Depends

R ≥ 3.4.0

Imports

Formula
plm
Rdpack
stats
dplyr

Suggests

texreg ≥ 1.37.1
testthat
knitr
rmarkdown
ggplot2

Reverse Suggests

insight

Reverse Enhances

texreg