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| From | ajjee <ajjee1@yahoo.com> |
| To | statalist@hsphsun2.harvard.edu |
| Subject | st: RE: Re: Making Cohorts |
| Date | Fri, 29 Oct 2010 11:08:14 -0700 (PDT) |
Hi I've deleted my post with attachment. Sorry for inconvenience. I think you should disable the upload a file link. Cheers Lachenbruch, Peter wrote: > > Have you not been reading the responses to your emails??? NO ATTACHMENTS. > All this is doing is cluttering our inboxes! > > Tony > > Peter A. Lachenbruch > Department of Public Health > Oregon State University > Corvallis, OR 97330 > Phone: 541-737-3832 > FAX: 541-737-4001 > > > -----Original Message----- > From: owner-statalist@hsphsun2.harvard.edu > [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of ajjee > Sent: Friday, October 29, 2010 4:52 AM > To: statalist@hsphsun2.harvard.edu > Subject: st: Re: Making Cohorts > > http://statalist.1588530.n2.nabble.com/file/n5686173/attitudes.dta > attitudes.dta > > Dear Maarten > Thanks for you replies. I'm attching my data file with some variables. My > dependent variable is Y and independent variables sex I.age I.edur I.pol > I.inc. > > When I give xtset country year.....it gives the error of repeated values. > I > hope now it will be esay to understand my problem. > > Thanks in advance. > > Ajjee > > > Maarten buis wrote: >> >> --- On Fri, 29/10/10, ajjee wrote: >>> "Suppose that yit is a 0-1 variable indicating whether a >>> household has access to a telephone or not, and that this >>> indicator variable is a linear function of explanatory >>> variables. We acknowledge this being an unusual assumption >>> as in reality it is not possible for a 0-1 indicator to be a >>> linear function of variables, since the linear function can >>> take any value whereas the indicator is binary. However, the >>> estimation procedure which we have adopted involves subsequent >>> aggregation of the individual data. We removed yit to be >>> linear in the explanatory variables in order for the >>> aggregation to give a relation between the share of 1's >>> and the average of the explanatory variables." >>> >>> Thats why I wrote a linear function and asked for how to >>> make a cohort data according to that. >> >> The average of a dummy variable is a proportion, which is >> still bounded between 0 and 1 (inclusive). So the averaging >> does not solve the problem of boundedness of your dependent >> variable. >> >> If I understand you correctly, you go through this excercise >> because you don't have real panel data. You can use -xtlogit- >> or -xtmelogit- for your data. The higher level unit is than >> country not individual, which seems to be what your technique >> usuccessfuly tries to do as well. >> >> 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/ >> >> > > -- > View this message in context: > http://statalist.1588530.n2.nabble.com/Making-Cohorts-tp5681938p5686173.html > Sent from the Statalist mailing list archive at Nabble.com. > > * > * 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/ > > -- View this message in context: http://statalist.1588530.n2.nabble.com/Making-Cohorts-tp5681938p5687508.html Sent from the Statalist mailing list archive at Nabble.com. * * 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/