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.

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 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.

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. · I'm using the lfe and fixest packages to run regressions with high-dimensional fixed effects. For these regressions, I would like to cluster the standard ...

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?

9 дек. 2020 г. · The default approach of felm() is to assume that the column rank deficiency of D is e−1 when there are e>2 factors. This may result in a too ...

2 апр. 2022 г. · I want to use the natural log of the variable C as well (plus one). How can I go about this? My intuition was to use felm install.packages("lfe") ...

3 окт. 2020 г. · I would like to extract the log likelihood from a plm object. It works fine when using the logLik function from the base stats package with either felm from ...