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TorTheHammer
Fluorite | Level 6

Hello and good day. 

I'm running the code below for my project but it takes very long time, so I wondered if it was a way ... so that it did not print? 🙂  



"Running a Fama-Macbeth regression in SAS is quite easy, and doesn't require any special macros. The following code will run cross-sectional regressions by year for all firms and report the means.

 

ods listing close;
ods output parameterestimates=pe;
proc reg data=dset;
 by year;
 model depvar = indvars; run;
quit;
ods listing;

proc means data=pe mean std t probt;
 var estimate; class variable;
run;

Since the results from this approach give a time-series, it is common practice to use the Newey-West adjustment for standard errors. Unlike Stata, this is somewhat complicated in SAS, but can be done as follows:

 

proc sort data=pe; by variable; run;

%let lags=3;
ods output parameterestimates=nw;
ods listing close;
proc model data=pe;
 by variable;
 instruments / intonly;
 estimate=a;
 fit estimate / gmm kernel=(bart,%eval(&lags+1),0) vardef=n; run;
quit;
ods listing;

proc print data=nw; id variable;
 var estimate--df; format estimate stderr 7.4;
run;

"

1 REPLY 1
Reeza
Super User

Look at ODS SELECT and ODS EXCLUDE. It allows you to control the output and suppressing the output can speed up your processes.

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