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Re: st: error message about bootstrp
From
Nick Cox <[email protected]>
To
[email protected]
Subject
Re: st: error message about bootstrp
Date
Mon, 4 Mar 2013 20:02:13 +0000
Yes; you can use e(b) in a r-class program.
The best way to check is by doing, i.e. by writing a dopey little
program, such as
program myprog, rclass
version 8
syntax varlist(numeric min=2 max=2)
regress `varlist'
tempname b
mat `b' = e(b)
return scalar b1 = `b'[1,1]
return scalar b2 = `b'[1,2]
end
Nick
On Mon, Mar 4, 2013 at 7:54 PM, Wu Zhang <[email protected]> wrote:
> 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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