Re: st: svy, bootstrapping and pweights

["Henry An" <an@primal.ucdavis.edu>]

Steven,
Unfortunately, there is no such reference mentioned. 

Henry

> Henry,
> 
> Perhaps the authors gave a reference for the their method.
> That is   what I would like to know.
> 
> 
> Steven
> 
> 
> 
> 
> 
> 
> 
> 
> 
> On Apr 17, 2008, at 4:41 PM, Henry An wrote:
> 
> > Steve,
> > What do you mean by a reference exactly? The method,
> > exactly, or simply the use of the method? In a paper
> > entitled "Are decoupled farm program payments really
> > decoupled" by Goodwin and Mishra (American J. of
> > Agricultural Economics, 2006), the authors note that to
> > arrive at valid SEs, they bootstrap and incorporate the
> > probability weights. A more common method used in the
> > case of
> > NASS (Nat'l agricultural statistics service) data is to
> > use the delete-a-group jackknife method. I hope this
> helps. >
> > Henry
> >
> >> Henry,
> >> Do you have a reference for this procedure? I'm
> unfamiliar >> with it.
> >>
> >> Thanks,
> >>
> >> Steve
> >>
> >> On Apr 17, 2008, at 2:18 PM, Henry An wrote:
> >>
> >>> Does anyone know how to incorporate probability
> weights >>> with the bootstrap function in Stata? That is,
> I don't >>> want the program to randomly select
> observations from my >>> sample, I want it to select it
> based on probability >>> weights that I've assigned to
> each observation. I know >>> there is a "bswreg" ado file
> that does it with >>> bootstrapped weights but I don't
> have bootstrapped >>> weights, I have pweights. I
> essentially want to >>> calculate valid standard errors
> (or MSEs) using data >>> from a complex survey that was
> stratified and that comes >>> with pweights in the
> dataset. Any help is much >> appreciated. >
> >>> Henry
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