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| From | "Justina Fischer" <JAVFischer@gmx.de> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | Re: st: Checking to see if the association between two variables is linear or otherwise |
| Date | Sat, 13 Oct 2012 09:25:31 +0200 |
your suggestion does not resolve the problem that years sof education measure degree very inacurately. In A US context, 12 and 16 years of education most likely relate to high school degree and bachelor's degree attained four years later. That Mitchel find splines at these nots suggests that using educational-level-dummies is a very good idea indeed. Justina -------- Original-Nachricht -------- > Datum: Fri, 12 Oct 2012 20:25:54 -0700 > Von: William Buchanan <william@williambuchanan.net> > An: "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> > Betreff: Re: st: Checking to see if the association between two variables is linear or otherwise > It's one of the examples in Michael Mitchell's book on data visualization. > He used knots at 12 and 16 years of education to illustrate how you could > use splines and the different commands to show the different relationships > between years of education and earnings. > > - Billy > > Sent from my iPhone > > On Oct 12, 2012, at 20:04, "JVerkuilen (Gmail)" <jvverkuilen@gmail.com> > wrote: > > > On Fri, Oct 12, 2012 at 10:46 PM, David Kantor <kantor.d@att.net> wrote: > > > >> I agree, noting that highest grade attained is better than years in > >> education, but it is still not appropriate, as it is not an interval > scale. > >> The "same" increments between values do not have the same significance. > >> For example, the significance of the increment from grade 11 to 12 is > not > >> the same as from 10 to 11. > > > > Interesting point. I bet this could probably be ameliorated using > > regression splines with knots at key grade milestones. > > > > Jay > > -- > > JVVerkuilen, PhD > > jvverkuilen@gmail.com > > > > "Out beyond ideas of wrong-doing and right-doing there is a field. > > I'll meet you there. When the soul lies down in that grass the world > > is too full to talk about." ---Rumi > > * > > * For searches and help try: > > * http://www.stata.com/help.cgi?search > > * http://www.stata.com/support/faqs/resources/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/faqs/resources/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/faqs/resources/statalist-faq/ * http://www.ats.ucla.edu/stat/stata/