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| From | Maarten Buis <maartenlbuis@gmail.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: relative importance of independent variables |
| Date | Tue, 14 Jun 2011 14:26:38 +0200 |
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 -------------------------- Maarten L. Buis Institut fuer Soziologie Universitaet Tuebingen Wilhelmstrasse 36 72074 Tuebingen Germany http://www.maartenbuis.nl -------------------------- * * 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/