bife: Binary Choice Models with Fixed Effects
Estimates fixed effects binary choice models (logit and probit) with potentially many individual fixed effects and computes average partial effects. Incidental parameter bias can be reduced with an asymptotic bias correction proposed by Fernandez-Val (2009) <doi:10.1016/j.jeconom.2009.02.007>.
| Version: | 0.7.3 |
| Depends: | R (≥ 3.1.0) |
| Imports: | data.table,Formula,Rcpp, stats |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | alpaca,knitr,rmarkdown |
| Published: | 2025-10-27 |
| DOI: | 10.32614/CRAN.package.bife |
| Author: | Amrei Stammann [aut, cre], Daniel Czarnowske [aut], Florian Heiss [aut], Daniel McFadden [ctb] |
| Maintainer: | Amrei Stammann <amrei.stammann at uni-bayreuth.de> |
| BugReports: | https://github.com/amrei-stammann/bife/issues |
| License: | GPL-2 |GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | https://github.com/amrei-stammann/bife |
| NeedsCompilation: | yes |
| Citation: | bife citation info |
| Materials: | README,NEWS |
| In views: | Econometrics |
| CRAN checks: | bife results |
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