You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Using version 5.7 (2019). Not sure this is a bug but I thought I asked. I am running a regression with a lot of fixed effects and interactions, single variable clustering. I have tried to run the same specifications with reg and reghdfe (when I can) and it turns out that reghdfe omits (apparently, because of collinearity) one dummy variable that reg instead would keep. Now the issue is that I am trying to predict fitted values for different values of this dummy, and when this is omitted by reghdfe the predicted values are the same, as if there was no variation across that dummy (which is not the case).
Any idea of what is going on?
Thanks!
The text was updated successfully, but these errors were encountered:
No, I am afraid this remains a little but of a blackbox for me. It may have to do with the fact that reghdfe drops 'singletons' (according to its own definition, you should find it in the documentation), but I do not recall being able to fix it by specifying the option not to drop them...
Hi Sergio,
Using version 5.7 (2019). Not sure this is a bug but I thought I asked. I am running a regression with a lot of fixed effects and interactions, single variable clustering. I have tried to run the same specifications with reg and reghdfe (when I can) and it turns out that reghdfe omits (apparently, because of collinearity) one dummy variable that reg instead would keep. Now the issue is that I am trying to predict fitted values for different values of this dummy, and when this is omitted by reghdfe the predicted values are the same, as if there was no variation across that dummy (which is not the case).
Any idea of what is going on?
Thanks!
The text was updated successfully, but these errors were encountered: