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Re: st: Returning a p-value for simulation
From
John Antonakis <[email protected]>
To
[email protected]
Subject
Re: st: Returning a p-value for simulation
Date
Sun, 10 May 2009 10:29:48 +0200
Hi Martin:
I actually want to simulate the probit; sorry for being unclear (what
you gave me is nice, in any case, for the future).
Best,
J.
____________________________________________________
Prof. John Antonakis
Associate Dean Faculty of Business and Economics
University of Lausanne
Internef #618
CH-1015 Lausanne-Dorigny
Switzerland
Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305
Faculty page:
http://www.hec.unil.ch/people/jantonakis&cl=en
Personal page:
http://www.hec.unil.ch/jantonakis
____________________________________________________
On 10.05.2009 10:20, Martin Weiss wrote:
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" <[email protected]>
To: <[email protected]>
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 <[email protected]>:
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.
--
____________________________________________________
Prof. John Antonakis
Associate Dean Faculty of Business and Economics
University of Lausanne
Internef #618
CH-1015 Lausanne-Dorigny
Switzerland
Tel ++41 (0)21 692-3438
Fax ++41 (0)21 692-3305
Faculty page:
http://www.hec.unil.ch/people/jantonakis&cl=en
Personal page:
http://www.hec.unil.ch/jantonakis
____________________________________________________
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