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From | Stuart Buck <stuartbuck@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: How to generate lags where each variable to be lagged has multiple values in the previous time periods |
Date | Tue, 30 Apr 2013 15:54:50 -0500 |
Thanks, the dataset somehow did have a few duplicates. With those eliminated, the following code worked and allowed me to create lags and double-lags for the test score variables. sort campus year grade gen id = year - grade egen panelid = group (campus id), label tsset panelid year On Mon, Apr 29, 2013 at 5:08 PM, Nick Cox <njcoxstata@gmail.com> wrote: > See the FAQ > > http://www.stata.com/support/faqs/data-management/repeated-time-values/index.html > > or try > > isid school grade year > duplicates list school grade year > > (Your variable names, naturally.) > Nick > njcoxstata@gmail.com > > > On 29 April 2013 22:51, Stuart Buck <stuartbuck@gmail.com> wrote: >> This looks good, except that for any of the tsset commands, I get the >> error code 451: "repeated time values within panel." >> >> On Mon, Apr 29, 2013 at 4:05 PM, Nick Cox <njcoxstata@gmail.com> wrote: >>> Treating each school separately is just a twist on this: >>> >>> gen cohort = year - grade >>> egen id = group(school cohort), label >>> tsset id year >>> >>> >>> Nick >>> njcoxstata@gmail.com >>> >>> >>> On 29 April 2013 20:32, Nick Cox <njcoxstata@gmail.com> wrote: >>>> Focus on any cohort, say the cohort that was grade 8 in 2011, grade 7 >>>> in 2010 and so forth. Evidently, the difference (year - grade) is >>>> constant, and therefore an identifier, for that cohort. Thus after >>>> >>>> gen id = year - grade >>>> >>>> either >>>> >>>> tsset id year >>>> >>>> or >>>> >>>> tsset id grade >>>> >>>> defines a panel dataset with an identifier and a time variable and >>>> time series operators can then be applied. >>>> >>>> Nick >>>> njcoxstata@gmail.com >>>> >>>> On 29 April 2013 19:46, Stuart Buck <stuartbuck@gmail.com> wrote: >>>> >>>>> Passage rates for all Texas schools for 2008, 2009, 2010, and 2011 -- >>>>> this is important -- by grade. So each row in the dataset is School, >>>>> Year, Grade, and then scores (plus other demographic variables, etc.). >>>>> >>>>> In other words, the dataset looks like this: >>>>> >>>>> Year SchoolID Grade TestScore >>>>> 2011 1 6 *** >>>>> 2011 1 7 *** >>>>> 2011 1 8 *** >>>>> >>>>> And so on and so forth -- multiple grades in each school in each year. >>>>> >>>>> Here's what I want: >>>>> >>>>> To be able to regress any given school's performance in Grade X in >>>>> Year T on, among other things, how that same school did with the same >>>>> cohort of kids in the previous grade (Grade X-1) in the previous year >>>>> (Year T-1). I.e., if a middle school's Grade 8 passage rate in 2011 is >>>>> the outcome, I'd like to be able to control for that same school's >>>>> Grade 7 passage rate in 2010, thus giving a somewhat crude measure of >>>>> how much that group of kids progressed since the previous year. >>>>> >>>>> How would I generate an all-purpose lagged TestScore variable for all >>>>> the schools in the dataset, lagging by both year and grade at once? >>>>> All the Stata instructional material I see on lagged variables just >>>>> lags based on time, not on both time and some other variable too >>>>> (grade). >>> * >>> * 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/ >> >> >> >> -- >> Stuart Buck >> http://about.me/stuartbuck >> 479-200-2750 (cell) >> * >> * 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/ -- Stuart Buck http://about.me/stuartbuck 479-200-2750 (cell) * * 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/