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st: RE: Re: mvsumm


From   "de la Garza, Adrian" <ADelagarza@imf.org>
To   <statalist@hsphsun2.harvard.edu>
Subject   st: RE: Re: mvsumm
Date   Mon, 8 Mar 2004 09:42:27 -0500

Hehe... sorry, Nick! This is a public apology for misspelling your last
name. I only realized I had written "Fox" after I read your e-mail. When
I was writing that e-mail I was listening to the Mexican news and they
were talking about Mexico's president, Vicente Fox. Heheh, sorry again!
And thank you for the suggestion.

Adrian

> -----Original Message-----
> From: Nick Cox [mailto:n.j.cox@durham.ac.uk] 
> Sent: Sunday, March 07, 2004 11:55 AM
> To: statalist@hsphsun2.harvard.edu
> Subject: st: Re: mvsumm
> 
> 
> As for -mvsumm-, I would take the matter up 
> with the authors Chris Baum and Nick Fox. 
> 
> But looking at the code and the help makes
> me think that the answer is No, so Scott's 
> solution is the one to follow; unless you 
> copy -mvsumm- and make it behave the way 
> you want. 
> 
> Nick 
> n.j.cox@durham.ac.uk 
> 
> Scott Merryman
>  
> > -tssmooth ma- gives missing obersvations a zero weight in 
> > calculating the moving
> > average.  This would seem to give you what you want.
> > 
> > Example:
> > 
> > . tsset var1
> >         time variable:  var1, 1990 to 2003
> > 
> > . tssmooth ma ma2= var2, w(4 1)
> > The smoother applied was
> >      (1/5)*[x(t-4) + x(t-3) + x(t-2) + x(t-1) + 1*x(t)]; x(t)= var2
> > 
> > . l
> > 
> >      +--------------------+
> >      | var1   var2    ma2 |
> >      |--------------------|
> >   1. | 1990      .      . |
> >   2. | 1991      .      . |
> >   3. | 1992      3      3 |
> >   4. | 1993      4    3.5 |
> >   5. | 1994      5      4 |
> >      |--------------------|
> >   6. | 1995      5   4.25 |
> >   7. | 1996      4    4.2 |
> >   8. | 1997      6    4.8 |
> >   9. | 1998      5      5 |
> >  10. | 1999      3    4.6 |
> >      |--------------------|
> >  11. | 2000      4    4.4 |
> >  12. | 2001      5    4.6 |
> >  13. | 2002      6    4.6 |
> >  14. | 2003      .    4.5 |
> >      +--------------------+
> > 
> de la Garza, Adrian
> 
> > > I am using Chris Baum's and Nick Fox's -mvsumm- and I'd 
> > like to know if
> > > there is a way to account for averages (or any other desc 
> > stats) when
> > > there are missing observations (e.g., the way -collapse- 
> > accounts for
> > > them). What I mean  is the following:
> > >
> > > 1990   .
> > > 1991   .
> > > 1992   3
> > > 1993   4
> > > 1994   5
> > > 1995   5
> > > 1996   4
> > > 1997   6
> > > 1998   5
> > > 1999   3
> > > 2000   4
> > > 2001   5
> > > 2002   6
> > > 2003   .
> > >
> > > If I use -mvsumm- to generate 5-year moving averages, I'd 
> like it to
> > > even give me a number in year 1994 (when there are already 5
> > > observations to compute the average, even though 2 are 
> > missing--so the
> > > generated number would be the average of 3, 4, and 5) and 
> > also in 2003
> > > (which would be the average of 3, 4, 5, and 6). Is this possible?
> 
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> 

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