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From | Cameron McIntosh <cnm100@hotmail.com> |
To | STATA LIST <statalist@hsphsun2.harvard.edu> |
Subject | FW: st: Regression Across Two Groups |
Date | Tue, 13 Dec 2011 15:05:16 -0500 |
Indeed, I could be misreading too -- he may just be thinking of doing a linear regression using a log-transformed income DV, rather than using a non-linear probability model. :)Cam > Date: Tue, 13 Dec 2011 18:43:04 +0000 > Subject: Re: st: Regression Across Two Groups > From: njcoxstata@gmail.com > To: statalist@hsphsun2.harvard.edu > > I am surprised at the road taken in this thread. To me this is better, > or least more easily, handled as > > earnings as response > > experience as predictor > > foreign qualifications as predictor (indicator variable. some say dummy) > > and as such a fairly standard regression model, except that a > logarithmic link or equivalent would seem natural. > > I am not an economist, although British readers might like to be > impressed by my A-level in Economics (Grade A) in 1969, so I may > easily be misreading this. > > Nick > > On Tue, Dec 13, 2011 at 5:11 PM, Muhammad Anees <anees@aneconomist.com> wrote: > > > I know this question is not related directly to Stata, but still > > knowing the fact that an expert advice is possible from my peers in > > statalist. My question is about comparing regression results across > > two groups of individuals where one groups comprises of individuals > > with specific characteristics while the other group does have that > > characteristics. I would be interested in knowing if the relationship > > between any two variables is different across the two groups. For > > example, if I want to test, that the relationship between experience > > and earnings across employees with forign qualifications and without > > forign qualifications is different. I would be thankful to know if > > there is any empirical examples describing such comparisons and how it > > can be accomplished > > > * > * 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/