I am using the following data:
Code:
* Example generated by -dataex-. To install: ssc install dataex clear input float(IVOL DUM FirmID) -.012846745 0 1 .003010829 0 1 -.01994809 1 1 -.0102941 1 1 -.016133793 1 1 .003362658 1 1 .010100462 0 1 -.005357542 1 1 .01985686 1 1 -.02125267 0 1 -.013251625 0 2 -.011405208 0 2 .005397665 0 2 -.016385317 0 2 -.02082585 0 2 .004482734 0 2 -.008927207 0 2 -1.3124484e-06 1 2 -.002564483 0 2 -.02041283 0 2 -.021711256 0 3 .019218445 0 3 -.01553059 0 3 -.001207368 0 3 -.020130247 1 3 -.015929932 1 3 -.012757675 1 3 .002185969 1 3 -.01975868 1 3 -.010493663 1 3 -.021384994 1 4 -.016919166 1 4 -.016161574 0 4 .006752182 0 4 -.009183821 0 4 -.022988187 0 4 .005700997 0 4 -.016790474 0 4 -.010007303 1 4 -.013928052 0 4 end
to run this regression:
Code:
xtreg IVOL DUM, fe
So, the observations of variable DUM ==1 vary from one firm to another. We have firms with no observations for DUM==1 and other firms with greater observations of DUM==1. So what I would like to do is to run the above regression if the observations of variable DUM==1 is greater than the average or mean of observations for DUM==1 for all firms. Is there a way to get to the mean of observations for DUM==1 for all firms without doing something like:
Code:
by FirmID: sum DUM if DUM==1
Once we do this I need to run the above regression for firms with observations of DUM==1 greater than the mean observations for all firms.
Thank you
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