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lfe (version 2.8-6)

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. See Gaure (2013) 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 (Gaure 2014 ). WARNING: This package is NOT under active development anymore, no further improvements are to be expected, and the package is at risk of being removed from CRAN.

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install.packages('lfe')

Monthly Downloads

9,744

Version

2.8-6

License

Artistic-2.0

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Maintainer

Matthieu Stigler

Last Published

January 11th, 2021

Functions in lfe (2.8-6)

chainsubset

Chain subset conditions
bccorr

Compute limited mobility bias corrected correlation between fixed effects
condfstat

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

Find the connected components
diammatrix

Find diameters of mobility graphs
cgsolve

Solve a symmetric linear system with the conjugate gradient method
btrap

Bootstrap standard errors for the group fixed effects
demeanlist

Centre vectors on multiple groups
efactory

Create estimable function
felm

Fit a linear model with multiple group fixed effects
makeDmatrix

Make sparse matrix of dummies from factor list
is.estimable

Verify estimability of function
getfe

Retrieve the group fixed effects
fevcov

Compute limited mobility bias corrected covariance matrix between fixed effects
waldtest

Compute Wald test for joint restrictions on coefficients
fixedse

Compute standard errors for fixed effects
kaczmarz

Solve a linear system defined by factors
lfe-package

Overview. Linear Group Fixed Effects
sargan

Compute Sargan's S
varvars

Compute the variance of the fixed effect variance estimate
summary.felm

Summarize felm model fits
nlexpect

Compute expectation of a function of the coefficients.
mctrace

Compute trace of a large matrix by sample means