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Re: st: robust standard errors, sureg, & suest
If suest doesn't work after sureg, is there some way I can recover
robust standard errors for the sureg regressions I am planning to run?
Woolton
On Thu, Aug 27, 2009 at 10:34 AM, Schaffer, Mark E<[email protected]> wrote:
> Just wondering ... does -suest- work after -sureg-? -suest- needs scores but I'm not sure -sureg- can deliver them.
>
> --Mark
>
>> -----Original Message-----
>> From: [email protected]
>> [mailto:[email protected]] On Behalf Of
>> Austin Nichols
>> Sent: 27 August 2009 15:14
>> To: [email protected]
>> Subject: Re: st: robust standard errors, sureg, & suest
>>
>> Woolton Lee<[email protected]> :
>> I am just guessing that modeling covariances in the data well
>> at the imputation step will be crucial, and that you will
>> need a lot more imputations than usual, perhaps 100 instead
>> of 5 or 10. Just guessing, as I say. You should run your
>> own simulation--what is your data structure? What are you imputing?
>>
>> On Thu, Aug 27, 2009 at 10:02 AM, Woolton
>> Lee<[email protected]> wrote:
>> > I am planning to estimate a multi equation model using multiply
>> > imputed data (5 imputations). I plan to use sureg and mim then use
>> > suest to recover robust standard errors for the parameter estimates.
>> > I am assuming this will work from what I've read in the
>> help file but
>> > I am not certain if there are problems to implementing this
>> plan that
>> > I haven't anticipated. Could someone please confirm that as far as
>> > implementing my idea, it will work? Thanks.
>> >
>> > I believe one problem with what I've planned is that combining
>> > multiply imputed estimates using sureg may not be
>> guaranteed to yield
>> > statistically valid results - there may not have been any
>> simulation
>> > studies to verify that this approach to estimation will be unbiased
>> > and consistent, etc. If there is anyone that can comment
>> on this as
>> > well please do.
>> >
>>
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>>
>
>
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