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bife (version 0.7.2)

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 an asymptotic bias correction proposed by Fernandez-Val (2009) .

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Version

Install

install.packages('bife')

Monthly Downloads

2,142

Version

0.7.2

License

GPL (>= 2)

Issues

6

Pull Requests

0

Stars

8

Forks

1

Maintainer

Amrei Stammann

Last Published

August 11th, 2022

Functions in bife (0.7.2)

print.bife

Print bife
bias_corr

Asymptotic bias correction for binary choice Models with fixed effects
bife

Efficiently fit binary choice models with fixed effects
bife_control

Set bife Control Parameters
fitted.bife

Extract bife fitted values
predict.bife

Predict method for bife fits
get_APEs

Compute average partial effects for binary choice models with fixed effects
coef.bifeAPEs

Extract estimates of average partial effects
print.bifeAPEs

Print bifeAPEs
coef.bife

Extract estimates of structural parameters or fixed effects
summary.bife

Summarizing models of class bife
summary.bifeAPEs

Summarizing models of class bifeAPEs
print.summary.bife

Print summary.bife
vcov.bifeAPEs

Extract estimates of the covariance matrix
vcov.bife

Extract estimates of the covariance matrix
psid

Female labor force participation
print.summary.bifeAPEs

Print summary.bifeAPEs
logLik.bife

Extract log-likelihood