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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>.

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conda 254.4 kB | linux-64/r-bife-0.6-r36h29659fb_0.tar.bz2  5 years and 5 months ago 0 main
conda 258.8 kB | osx-64/r-bife-0.6-r36h466af19_0.tar.bz2  5 years and 5 months ago 0 main
conda 259.4 kB | win-64/r-bife-0.6-r36h796a38f_0.tar.bz2  5 years and 5 months ago 0 main

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