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Tools like #coefplot and #reghdfe have quietly powered a huge share of empirical research. Citing them helps give credit where it’s due.

What are some other packages or tools you think are widely used but might be undercited?

journals.sagepub.com/doi/abs/10.1...

A new update for my @Stata command #xtdcce2 is available. It now supports the latest version of #reghdfe.

Install in @Stata
net install xtdcce2, from(janditzen.github.io/xtdcce2/)

See my GitHub:
janditzen.github.io/xtdcce2/

A new update for my @Stata command #nwxtregress is available. It now supports the latest version of #reghdfe.

Install in @Stata
net install nwxtregress , from(janditzen.github.io/nwxtregress/)

See my GitHub:
janditzen.github.io/nwxtregress/

Just out of curiosity....

Since #scatterfit allows to condition on additional variables AND you seem to use #reghdfe .... what's the added value / what was your motivation for #fedistr ?

(live tweeting research calls while code runs...)
So when have fixed effects (incl industry or country dummies), @Gabors_Data says there shall be no intercept/constant in regression table... Let's see:
#Rstats #Fixest: is the default 👏
@Stata #reghdfe: need ",noconstant" 👌