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Re: st: AW: AW: Regressions with constant independent variable


From   Eric Booth <eric.a.booth@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: AW: AW: Regressions with constant independent variable
Date   Wed, 11 Apr 2012 07:41:31 -0500

<>

Hi Fabian:

You could change your current code to:

g first = .
forval n = 1/`=_N' {
bys cusip (fyear): replace first = lnsales[`n']  ///
	if lnebit[`n']!=0 & mi(first)
}

to get those values.

- Eric

__
Eric A. Booth
Public Policy Research Institute 
Texas A&M University
ebooth@ppri.tamu.edu
+979.845.6754

On Apr 11, 2012, at 4:45 AM, Fabian Schönenberger wrote:

> Many thanks! I have used:
> By cusip (fyear), sort: generate firstlnsales=lnsales[1] if (lnebit [1]
> !=0). This one works fine. 
> However, I would like to adjust the formula, in order to get observation 2
> if lnebit [1] is 0, and then observation 3 if observation 2 is 0 and so on. 
> Any suggestions? 
> 
> Best, Fabian
> 
> 
> 
> -----Ursprüngliche Nachricht-----
> Von: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Dithmer, Jan
> Gesendet: Mittwoch, 11. April 2012 10:49
> An: statalist@hsphsun2.harvard.edu
> Betreff: st: AW: Regressions with constant independent variable
> 
> If you want to create a new variable, s.th like the following may work (if I
> understand you correctly):
> 
> by cusip: gen salesinitial = sales if fyear=="first observation of fyear"
> by cusip: replace salesinitial = salesinitial[_n-1] if salesinitial==.
> 
> It may be possible to do it in one step, but unfortunately I don't know how
> and would also be interested in a shorter solution.
> 
> Best, Jan
> 
> -----Ursprüngliche Nachricht-----
> Von: owner-statalist@hsphsun2.harvard.edu
> [mailto:owner-statalist@hsphsun2.harvard.edu] Im Auftrag von Fabian
> Schönenberger
> Gesendet: Wednesday, April 11, 2012 8:55 AM
> An: statalist@hsphsun2.harvard.edu
> Betreff: st: Regressions with constant independent variable
> 
> Dear Statalist
> I would like to run a regression like Y=a + b*x + c*z + e for panel data. ID
> is cusip, and t is fyear, x is sales and z is growth of sales. 
> I would like to keep x fixed for each cusip at the level of the first
> observation of fyear. 
> Do I need to create a new variable or can I adjust my regression formula?
> Many thanks in advance.
> 
> FS
> 
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