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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 a biascorrection proposed by Hahn and Newey (2004) <doi:10.1111/j.14680262.2004.00533.x>.
Package details 


Author  Amrei Stammann [aut, cre], Daniel Czarnowske [aut], Florian Heiss [aut], Daniel McFadden [ctb] 
Maintainer  Amrei Stammann <[email protected]> 
License  GPL (>= 2) 
Version  0.5 
Package repository  View on CRAN 
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