bife (0.6)

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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) .

Maintainer: Amrei Stammann
Author(s): Amrei Stammann [aut, cre], Daniel Czarnowske [aut] (<>), Florian Heiss [aut], Daniel McFadden [ctb]

License: GPL (>= 2)

Uses: data.table, Formula, Rcpp, knitr, alpaca
Reverse suggests: alpaca

Released 6 months ago.

5 previous versions



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