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lfe (version 2.5-1998)

Linear Group Fixed Effects

Description

Transforms away factors with many levels prior to doing an OLS. Useful for estimating linear models with multiple group fixed effects, and for estimating linear models which uses factors with many levels as pure control variables. Includes support for instrumental variables, conditional F statistics for weak instruments, robust and multi-way clustered standard errors, as well as limited mobility bias correction.

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Version

Install

install.packages('lfe')

Monthly Downloads

13,620

Version

2.5-1998

License

Artistic-2.0

Maintainer

Simen Gaure

Last Published

April 18th, 2016

Functions in lfe (2.5-1998)

condfstat

Compute conditional F statistic for weak instruments in an IV-estimation with multiple endogenous variables
summary

Summarize felm model fits
waldtest

Compute Wald test for joint restrictions on coefficients
chainsubset

Chain subset conditions
getfe

Retrieve the group fixed effects
nlexpect

Compute expectation of a function of the coefficients.
is.estimable

Verify estimability of function
mctrace

Compute trace of a large matrix by sample means
felm

Fit a linear model with multiple group fixed effects
compfactor

Find the connected components
demeanlist

Centre vectors on multiple groups
varvars

Compute the variance of the fixed effect variance estimate
bccorr

Compute limited mobility bias corrected correlation between fixed effects
fevcov

Compute limited mobility bias corrected covariance matrix between fixed effects
btrap

Bootstrap standard errors for the group fixed effects
lfe-package

Overview. Linear Group Fixed Effects
cgsolve

Solve a symmetric linear system with the conjugate gradient method
kaczmarz

Solve a linear system defined by factors
efactory

Create estimable function
makeDmatrix

Make sparse matrix of dummies from factor list