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
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 2,761 times in the last 30 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 97 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 26,930 times in the last 365 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The day with the most downloads was Aug 22, 2024 with 214 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports3 packages
- Suggests3 packages
- Linking To2 packages
- Reverse Suggests1 package
- Reverse Enhances1 package