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Re: st: error message about bootstrp
From
Wu Zhang <[email protected]>
To
"[email protected]" <[email protected]>
Subject
Re: st: error message about bootstrp
Date
Mon, 4 Mar 2013 11:54:19 -0800 (PST)
Hi Nick,
It works fine that way.I am just wondering whether we can use e(b) in the rclass program?
Thanks,
Wu
----- Original Message -----
From: Nick Cox <[email protected]>
To: [email protected]
Cc:
Sent: Monday, March 4, 2013 7:27 AM
Subject: Re: st: error message about bootstrp
You should run your program -apese- once by itself on the data to see
what it leaves behind.
Nick
On Mon, Mar 4, 2013 at 7:54 AM, Wu Zhang <[email protected]> wrote:
> After I adopt your suggestion and modify the code a little bit, I get this error message :
>
> insufficient observations to compute bootstrap standard errors
> no results will be saved
> r(2000);
>
> The Boostrap code is as follows:
>
>
>
> cap program drop apese
> program apese, rclass
> version 12.1
> capture drop xalphat ehat sdhat meanvaluen meanvalue21
> reg odds x1 x2 x3
> mat paraest=e(b)
> return scalar alphaj =_b[x2]
> predict ehat, residual
> mean x1 x2 x3 const
> mat xmean=e(b)
> mat meanvalue=xmean*paraest'
> svmat meanvalue, names(meanvalue2)
> sum meanvalue21
> gen meanvaluen=r(mean)
> gen sdhat=alphaj*exp(meanvaluen+ehat)/(1+exp(meanvaluen+ehat))^2
>
> sum sdhat
> return scalar apej=r(mean)
>
> end
>
>
>
> The running code is: bootstrap apej=r(apej): apese
>
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