Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
From | Aniruddha Rajan <aniruddha.rajan@googlemail.com> |
To | <statalist@hsphsun2.harvard.edu> |
Subject | Re: st: Statistically significant difference in R Squared |
Date | Thu, 23 Aug 2012 19:07:41 +0100 |
Thanks very much for your helpful response Nick. The gist of what I'm trying to do is to see whether the data I have conforms to a specified theoretical model to a greater extent during the second period as compared to the first. I guess the residual plot should be good enough. Do any formal tests for something like this exist? On 23/08/2012 17:56, "Nick Cox" <njcoxstata@gmail.com> wrote: >I don't think the question makes much sense inferentially for several >quite different reasons. But looking at the residuals as a function of >time and seeing whether they vary systematically could be a very >sensible and helpful check. > >Nick > >On Thu, Aug 23, 2012 at 5:09 PM, Aniruddha Rajan ><aniruddha.rajan@googlemail.com> wrote: > >> I am running a time-series regression model over a 10 year period. I >>would >> be interested in splitting the sample into two five year periods and >>finding >> out whether the model has a statistically significantly higher R^2 >>during >> the second period as compared to the first. Is there a test for this, >>and if >> so is it possible to implement in Stata? >* >* 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/ * * 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/