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R: st: re: rollreg module
From
"[email protected]" <[email protected]>
To
<[email protected]>
Subject
R: st: re: rollreg module
Date
Sun, 6 Feb 2011 20:22:56 +0100 (CET)
Thanks a lot for the feedback, Kit. I think the best strategy should be to
split the data as you suggested.
Andrea
>----Messaggio originale----
>Da: [email protected]
>Data: 5-feb-2011 21.34
>A: <[email protected]>
>Ogg: st: re: rollreg module
>
><>
>I have a panel dataset and I am trying to use the rollreg module to run
>rolling regressions for each unit in the sample.
>
>Unfortunately my sample has gaps in time for many units. The program
requires
>that there are no gaps and I get an error message. If I fill the gaps by
using
>the tsfill command (so by setting the gaps to be missing observations) the
>command still doesn't work.
>
>Do you know if there is a way to run the rollreg command without dropping
the
>units with gaps?
>
>I also tried the rolling prefix to regress, but in this case the
computation
>time is too long with a very large dataset.
>
>
>No. rollreg, a routine of mine from SSC, does not function when there are
gaps, implicit or explicit, in time-series data. Neither do a large number of
official Stata commands that work with time series data. If there are one-
period gaps you could try filling with averages of adjacent observations as an
alternative to dropping those units. Do you have any understanding of why the
missing values occur? Do they represent just non-reported values, or a lack of
activity (e.g. no trading in that interval)? Could you use Stata's -mi- logic
to deal with this?
>
>As both -rollreg- and the -rolling- prefix are ado code, I don't know why -
rolling- would be faster. But you could always split the task up into handling
the first half of the panel units separately from the second half, or split it
into quarters, etc. as with -rolling- you get a separate dataset.
>
>Kit
>
>Kit Baum | Boston College Economics & DIW Berlin | http://ideas.repec.
org/e/pba1.html
> An Introduction to Stata Programming | http:
//www.stata-press.com/books/isp.html
> An Introduction to Modern Econometrics Using Stata | http://www.stata-
press.com/books/imeus.html
>
>
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