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bife (version 0.1)

Binary Choice Models with Fixed Effects

Description

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 bias-correction proposed by Hahn and Newey (2004) .

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Version

Install

install.packages('bife')

Monthly Downloads

2,799

Version

0.1

License

GPL (>= 2)

Maintainer

Amrei Stammann

Last Published

July 29th, 2016

Functions in bife (0.1)

apeff.bife

Average Partial Effects for Binary Choice Models with Fixed Effects

coef.bife

Extract Model Coefficients

print.bife

Print bife

acs

Female labor force participation - "American Community Survey (ACS PUMS 2014)"

print.summary.bife

Print summary.bife

bife

Binary Choice Models with Fixed Effects

results.psid

Results "Panel Study of Income Dynamics"

results.acs

Results "American Community Survey"

bife-package

\Sexpr[results=rd,stage=build]{tools:::Rd_package_title("#1")}bifeBinary Choice Models with Fixed Effects

psid

Female labor force participation - "Panel Study of Income Dynamics"

time.t

Computation time with varying T

vcov.bife

Extract Covariance Matrix of Structural Parameters

summary.bife

Summarizing Binary Choice Models with Fixed Effects

time.n

Computation time with varying N