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RE: st: Speed of bsample and nested loops
From
philippe van kerm <[email protected]>
To
"[email protected]" <[email protected]>
Subject
RE: st: Speed of bsample and nested loops
Date
Fri, 7 Oct 2011 15:07:16 +0000
I would suggest -post- instead of -file- for that sort of work. Not sure you would observe significant spped improvements, however.
Philippe
> -----Message d'origine-----
> De : [email protected] [mailto:owner-
> [email protected]] De la part de Richard Herron
> Envoyé : Friday, October 07, 2011 4:26 PM
> À : [email protected]
> Objet : Re: st: Speed of bsample and nested loops
>
> I don't know the inner workings of -file write-, but would you have
> any gain from replacing three calls with one?
>
> file write boot "`idb`b''" _tab
> "`gb`b''" _tab
> file write boot "`j'" _tab "`x'"
> _tab
> file write boot "`mu'" _n
>
> becomes
>
> file write boot "`idb`b''" _tab
> "`gb`b''" _tab ///
> "`j'" _tab
> "`x'" _tab ///
> "`mu'" _n
>
> It isn't clear to me from the help file if -file -open- leaves the
> text connection open, or it just performs from checks and assigns a
> handle.
>
> On Wed, Oct 5, 2011 at 15:51, Poliquin, Christopher <[email protected]>
> wrote:
> > Hi,
> >
> > I am trying to speed up my code for bootstrapping and suspect there
> are significant gains to be made because right now it is super slow.
> >
> > I am trying to draw samples of size 1-3 with replacement from a file
> with about 300,000 rows. It is a panel dataset of companies and their
> daily stock returns for two years.
> >
> > I have written a little program to loop over groups of companies and
> draw samples of size 1-3 from 5 different variables with returns data.
> The mean of the sample is then written to a file.
> >
> > Could someone please look at this code and suggest areas that could
> be modified to make this run at a reasonable speed? I have omitted the
> beginning because the real issue is probably the nested loops.
> >
> > program bootstrapping
> > // Bootstapping mean abnormal returns
> > // Pass sample name as first argument for saving output
> > // Pass replication number as second argument
> >
> > egen boot_grp = group(id cl)
> > *[Some omitted stuff that is fast already]
> >
> > // Open a file to hold the bootstrapped results.
> > file open boot using `1'_boots.txt, write text replace
> > file write boot "id" _tab "cl" _tab "sampsize" _tab "ar" _tab
> "mean" _n
> > forvalues k=1/`2' {
> > * This is the number of draws to make for each sample
> size
> > set seed `k'
> > forvalues j=1/3 {
> > *Draws of size 1-3
> > capture drop w
> > quietly gen w = .
> > // Sample with replacement, fweight in w
> > bsample `j', strata(id cl permno) weight(w)
> > foreach b of local boots {
> > // Mean abnormal return for the sample
> > // within id and cl grouping.
> > forvalues x = 1/5 {
> > // Within each abnormal return
> measure...
> > quietly summarize ar`x' if
> boot_grp == `b' [fweight=w]
> > loc mu = r(mean) * 100
> > // Write bootstapped means to
> the output file
> > file write boot "`idb`b''"
> _tab "`gb`b''" _tab
> > file write boot "`j'" _tab
> "`x'" _tab
> > file write boot "`mu'" _n
> > }
> > }
> > }
> > }
> > file close boot
> > end
> >
> >
> > Best wishes,
> > Chris
> >
> >
> >
> > *
> > * For searches and help try:
> > * http://www.stata.com/help.cgi?search
> > * http://www.stata.com/support/statalist/faq
> > * http://www.ats.ucla.edu/stat/stata/
> >
>
> *
> * For searches and help try:
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> * http://www.ats.ucla.edu/stat/stata/
*
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