I am running a panel data regression. I want to run a for loop to obtain regression results where every time one of the entities has been dropped, so that I can see, by comparing the different coefficients, whether my results are driven by a particular entity or they are consistent across the sample. I am currently using this for loop
forvalues i = 1/19{
use "sample_seven.dta", clear
drop if countryid == i
xtscc ln_gdp tech population inflation tradebalance i.year, fe}
However, when I run the above code what I get is 19 regressions where only two observations have been dropped in each of them.
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