On Mon, 24 Oct 2005, maite wrote: > I was trying to generate samples of 50 observations in a Monte > Carlo loop and then just use the first 25 to estimate by OLS. I > wrote these instructions: > > nulldata 50 > genr x=100*uniform() > loop 1000 > genr eps=3*normal() > genr y=5+2*x+eps > smpl (obs<26) --restrict > ols y const x > genr bhat=coeff(x) > store test.gdt bhat > endloop > > But, when I run the program and open the test.gdt data file, I > only get 1 observation of the variable bhat, instead of the 1000 I > was supposed to get. I have tried a thousand different things and > I do not get right. Any hint?
For the behavior you want, you need to give the "--progressive" option to the loop command: loop 1000 --progressive Then you will get 1000 values of bhat in test.gdt. Allin Cottrell -- Allin Cottrell Department of Economics Wake Forest University, NC
