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.
- Version0.7.2
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?Yes
- bife citation info
- Last release08/11/2022
Documentation
Team
Amrei Stammann
Daniel Czarnowske
Florian Heiss
Show author detailsRolesAuthorDaniel McFadden
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