Fama MacBeth standard errors in R

Question

Does anyone know if there is a package that would run Fama-MacBeth regressions in R and calculate the standard errors? I am aware of the sandwich package and its ability to estimate Newey-West standard errors, as well as providing functions for clustering. However, I have not seen anything with respect to Fama-MacBeth.

Answer 1

The plm package can estimate Fama-MacBeth regressions and SEs.

require(foreign)
require(plm)
require(lmtest)
test <- read.dta("http://www.kellogg.northwestern.edu/faculty/petersen/htm/papers/se/test_data.dta")
fpmg <- pmg(y~x, test, index=c("year","firmid")) ##Fama-MacBeth

> ##Fama-MacBeth
> coeftest(fpmg)

t test of coefficients:

            Estimate Std. Error t value Pr(>|t|)    
(Intercept) 0.031278   0.023356  1.3392   0.1806    
x           1.035586   0.033342 31.0599   <2e-16 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

However note that this method works only if your data can be coerced to a pdata.frame. (It will fail if you have "duplicate couples (time-id)".)

For further details see:

• Fama-MacBeth and Cluster-Robust (by Firm and Time) Standard Errors in R