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lfe (version 2.8)

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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install.packages('lfe')

Monthly Downloads

9,306

Version

2.8

License

Artistic-2.0

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Last Published

June 28th, 2018

Functions in lfe (2.8)

sargan

Compute Sargan's S
waldtest

Compute Wald test for joint restrictions on coefficients
is.estimable

Verify estimability of function
summary.felm

Summarize felm model fits
varvars

Compute the variance of the fixed effect variance estimate
condfstat

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

Compute limited mobility bias corrected correlation between fixed effects
btrap

Bootstrap standard errors for the group fixed effects
chainsubset

Chain subset conditions
makeDmatrix

Make sparse matrix of dummies from factor list
mctrace

Compute trace of a large matrix by sample means
compfactor

Find the connected components
cgsolve

Solve a symmetric linear system with the conjugate gradient method
demeanlist

Centre vectors on multiple groups
kaczmarz

Solve a linear system defined by factors
efactory

Create estimable function
diammatrix

Find diameters of mobility graphs
felm

Fit a linear model with multiple group fixed effects
lfe-package

Overview. Linear Group Fixed Effects
nlexpect

Compute expectation of a function of the coefficients.
getfe

Retrieve the group fixed effects
fevcov

Compute limited mobility bias corrected covariance matrix between fixed effects
fixedse

Compute standard errors for fixed effects