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Re: st: relative importance of independent variables
From
Richard Williams <[email protected]>
To
[email protected], [email protected]
Subject
Re: st: relative importance of independent variables
Date
Tue, 14 Jun 2011 12:24:05 -0500
At 07:26 AM 6/14/2011, Maarten Buis wrote:
On Tue, Jun 14, 2011 at 2:04 PM, Stefan Nijssen wrote:
> I am running an OLS, see below, in which I relate 3 variables
(currentratio, margin and da) to OAS, all continuous. I control for
industry and country (twice a triple dummy, added to the equation).
Seems to perform reasonably well to me. However, I have one last
issue to overcome. I would like to determine the relative
importance to the model, and especially the hierarchy of this
importance, of the three independent variables currentratio, margin
and da. Probably this is task must be doable but I cant seem to
find a proper way through any academic articles or google.
This is a problem of standardization; you must make sure that these
three variables have the same unit. A common strategy is to divide
each variable with its standard deviation, so now all effects are the
effects of one standard deviation increase. See e.g. the -beta- option
in -regress-. Whether that makes sense is a substantive question.
Hope this helps,
Maarten
The -beta- option will standardize the dependent variable as well.
X-Standardization alone may be sufficient. The -listcoef- command,
which is part of the Long and Freese -spost9- package (use -findit-)
has handy options for various kinds of standardization.
-------------------------------------------
Richard Williams, Notre Dame Dept of Sociology
OFFICE: (574)631-6668, (574)631-6463
HOME: (574)289-5227
EMAIL: [email protected]
WWW: http://www.nd.edu/~rwilliam
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