3 дек. 2022 г. · In lfe::felm we may specify fixed effects, instruments, and cluster, e.g. y ~ x1 + x2 | f1 + f2 | (Q|W ~ x3+x4) | clu1 + clu2.

18 дек. 2018 г. · I explored the R-package lfe. It provides the function felm which “absorbs” factors (similar to Stats's areg). I need to use robust standard errors.

1 апр. 2015 г. · Multiple R-squared(proj model) refers to the effect of purely f1, f2 and f3 when x1 is not included in the model.

18 мар. 2018 г. · When calculating a panel data regression with multiple fixed effects using the felm() (of the lfe package), no constant / intercept is generated ...

2 июн. 2017 г. · I'm using the felm function from the lfe package in R. The summary function gives me two values of R2: The full model and the ...

30 июн. 2020 г. · R: Confused about robust standard errors using “felm” and “huxreg” · 4 · How to cluster standard errors when fitting a model using maximum ...

15 мая 2016 г. · I run the following code in R. And I do not get coefficient for intercept. How can I get the coefficient for intercept?

28 авг. 2020 г. · I'm running 2sls and making sure that my results replicate in both stata and r. In r, using felm, my code is: a1 <- felm(y ~ 0|year + id ...

9 дек. 2020 г. · felm() has an argument exactDOF which may be set to TRUE to activate a more accurate computation of the rank. In my reading of the paper, the ...

2 апр. 2022 г. · Is there a reason why you are using felm rather than the standard lm? Have you already read through the felm documentation?