# Re: st: Returning a p-value for simulation

 From "Martin Weiss" To Subject Re: st: Returning a p-value for simulation Date Sun, 10 May 2009 10:20:06 +0200

I do not get this solution. Why do I need an e-class "myprobit", given that -probit- itself returns _b and _se anyway?

The initial request by John was to capture t (or rather z in the probit case) statistics and p-values for a later simulation. That sounds to me as if he wants to run the -probit- only once and then process the results further...

HTH
Martin
_______________
----- Original Message ----- From: "Eva Poen" <eva.poen@gmail.com>
To: <statalist@hsphsun2.harvard.edu>
Sent: Sunday, May 10, 2009 9:53 AM
Subject: Re: st: Returning a p-value for simulation

<>

If John wishes to return coefficients and associated statistics after
estimation for a simulation he might want employ an eclass program.
This way, he can easily access coefficients and standard errors, and
calculate t-statistics and p-values afterwards. Here is an example:

*******************
program myprobit, eclass
...
probit y x1 x2
end

simulate _b _se , reps(1000) seed(123) saving(myprobit, replace
every(50)) : myprobit

use myprobit

foreach v in x1 x2 {
gen t_`v' = y_b_`v'/y_se_`v'
gen p_`v' = 2*(1-normal(abs(t_`v'))
}
**********************

Hope this helps,
Eva

2009/5/9 John Antonakis <john.antonakis@unil.ch>:
I am running an rclass program that I wish to simulate.

After estimating a probit, I want to save the coefficients, along with the t-stats and the p-values for later simulation. I figured out the former but
not the latter two. What I have so far is:

probit y x1 x2
return scalar b1 =_b[x1]
return scalar b2 =_b[x2]

Thanks,
John.

--
____________________________________________________

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University of Lausanne
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