<>
Just out of curiosity: Have you simply adopted the -program- which keeps
coming up on the list every other day, or are you the same poster?
(http://www.stata.com/statalist/archive/2009-04/msg01126.html)
There is usually a reason for Stata not to provide a certain number.
-probit- does report a "pseudo"-R square, -ivprobit- does not. -ssc d
fitstat- does not work after -ivprobit-, either.
Why do you want to calculate anything in Excel? Normally, you can use the
returned results and form an expression that you evaluate in a call to
-display-. So no need to leave Stata...
HTH
Martin
-----Ursprüngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Arun Adhikari
Gesendet: Montag, 27. April 2009 07:31
An: [email protected]
Betreff: st: Root Mean Square Error and Pseudo R square....Please Help
Dear All,
While performing the simulation for Probit model, how could we
calculate the RMSE and Pseudo R square? If it was OLS, we could just
use the formula and could do it in Excel but I could not use the
formula for Probit, since our Y is (0,1). There might be some code
that would help me find these. I would appreciate if anybody could
help me. My simulation so far looks like this. Could you please add
something in it?
.......................................Program..............................
..............................
global numobs 1000 // sample size N
global numsims "500" // number of simulations
set seed 123456789
capture program drop endoprob
program endoprob // , rclass
version 10.1
drop _all
set obs $numobs
generate u = rnormal(0)
generate mu = rnormal(0)
generate v = rnormal(0)
//generate x = rnormal(0)
generate z1 = rnormal(0) // 4 Instruements
generate z2 = rnormal(0)
generate z3 = rnormal(0)
generate z4 = rnormal(0)
// Also be written *drawnorm u mu x1 z1 z2 z3 z4
generate a = 0.6*u
generate x = 0.5 + 0.9*z1 + a
regress x z1 // endogenous regressor with four instruments
predict px
generate y = 0.5 + px + mu + u > 2 //Reduced Form Equation
ivprobit y (x= z1 )
predict py
end
simulate _b _se y py , ///
reps($numsims): endoprob
mean x* y*
......................................................................END...
............................................
Thanking you all in anticipation.
Regards,
Arun Adhikari
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