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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 259.4 kB | win-64/r-bife-0.6-r36h796a38f_0.tar.bz2  6 years and 1 month ago 69 main
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conda 254.4 kB | linux-64/r-bife-0.6-r36h29659fb_0.tar.bz2  6 years and 1 month ago 80 main

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