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bife (version 0.5)

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

0.5

License

GPL (>= 2)

Maintainer

Amrei Stammann

Last Published

March 7th, 2018

Functions in bife (0.5)

print.bife

Print bife
apeff_bife

Average Partial Effects for Binary Choice Models with Fixed Effects
acs

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

Extract Model Coefficients
bife-package

bife
print.summary.bife

Print summary.bife
results_acs

Results "American Community Survey"
bife

Binary Choice Models with Fixed Effects
psid

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

Results "Panel Study of Income Dynamics"
summary.bife

Summarizing Binary Choice Models with Fixed Effects
predict.bife

Computes Predicted Probabilities
vcov.bife

Extract Covariance Matrix of Structural Parameters
time_n

Computation time with varying N
time_t

Computation time with varying T