Hello,
I run the following panel regression:
proc panel data=invest.table_regressionfinal ;
id GVKEY DATADATE;
model r_tmw=eps_deflate deltaeps_deflate/fixone ;
run;
now I want to run the same regression in "pooled" method.
Anyone happen to know how to formulate the pooled procedure and what are the implications of switching from panel regression to pooled regression ?
thanks,
Lior
Hi Lior,
This link explains the "pooled" regression model.SAS/ETS(R) 13.2 User's Guide
In short, pooled regression is just another way of saying that you are assuming no id or time fixed effects. In essence, you are "pooling" the data together and running one big regression and assuming each observation, wrt both time and id are independent. Probably not a realistic assumption.
For your model, you would write...
proc panel data=invest.table_regressionfinal ;
id GVKEY DATADATE;
model r_tmw=eps_deflate deltaeps_deflate/ pooled neweywest ;
run;
You likely would want to do some sort of SE correction using NEWEYWEST or similar on the model statement.
Hope this helps. -Ken
Hi Lior,
This link explains the "pooled" regression model.SAS/ETS(R) 13.2 User's Guide
In short, pooled regression is just another way of saying that you are assuming no id or time fixed effects. In essence, you are "pooling" the data together and running one big regression and assuming each observation, wrt both time and id are independent. Probably not a realistic assumption.
For your model, you would write...
proc panel data=invest.table_regressionfinal ;
id GVKEY DATADATE;
model r_tmw=eps_deflate deltaeps_deflate/ pooled neweywest ;
run;
You likely would want to do some sort of SE correction using NEWEYWEST or similar on the model statement.
Hope this helps. -Ken
Hi Ken,
Thank you very much. it is very helpfull.
Do you also farmiliar with fama macbeth regression? (meaning how to formulate the procesdure and what are the implications of switching to this regression)?
Thanks,
Lior
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