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From | Edward James <ej111005@gmail.com> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: RE: problems with conducting OLS-PCSE analysis |
Date | Thu, 19 Jan 2012 09:27:54 +0900 |
Thank you for your guidance, Jacobs I will try it as soon as possible. 2012/1/19 Jacobs, David <jacobs.184@sociology.osu.edu>: > Yes immediately afterwards. The -if e(sample)- qualifier only works immediately after a run as it is an impermanent indicator of the precise cases used in an immediately prior run. You can, of course, create a permanent variable with a statement something like "generate casespresent=e(sample)" > > I missed the 40 gaps in your sample, so I can understand why Professor Hughes is skeptical about imputing or using linear interpolation to fill all those gaps. > > Dave Jacobs > > -----Original Message----- > From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Edward James > Sent: Tuesday, January 17, 2012 7:23 PM > To: statalist@hsphsun2.harvard.edu > Subject: Re: st: RE: problems with conducting OLS-PCSE analysis > > Thanks, Jacobs. > > Do I have to run commands that you suggest after following error > message pops up? > > "Number of gaps in sample: 40 > (note: computations for rho restarted at each gap) > (note: estimates of rho outside [-1,1] bounded to be in the range [-1,1]) > no time periods are common to all panels, cannot estimate disturbance > covariance matrix using casewise inclusion" > > > 2012/1/17 Jacobs, David <jacobs.184@sociology.osu.edu>: >> As you probably already know, you have missing values or gaps within various series included in your models. >> >> Some obvious tricks to determine where these missing values are located include running the command -xtdescribe if e(sample)- immediately after an -xtpcse- run. That will show you what the exact pattern of gaps is. Another possibility that will provide more detail is to type ".browse if e(sample)" again immediately after a run. The last command works best if you have only a few explanatory variables in your model as it will show the entire data set the xtpcse routine could access. >> >> In general and as you probably already know AR(1) routines don't like gaps within a series and you seem to have that problem. One possibility is to employ Stata's commands that impute missing data to overcome these difficulties. >> >> D. Jacobs >> >> -----Original Message----- >> From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of Edward James >> Sent: Monday, January 16, 2012 9:33 AM >> To: statalist@hsphsun2.harvard.edu >> Subject: st: problems with conducting OLS-PCSE analysis >> >> Dear Statalist. >> >> I am currently conducting ols-pcse(pannel corrected standard error) with stata. >> >> Although the number of groups(countries) are 19, the result shows only >> 16 groups. >> >> In addition, when I conduct different model, following error message comes up: >> >> "Number of gaps in sample: 40 >> (note: computations for rho restarted at each gap) >> (note: estimates of rho outside [-1,1] bounded to be in the range [-1,1]) >> no time periods are common to all panels, cannot estimate disturbance >> covariance matrix using casewise inclusion" >> >> Do you have any idea for including all countries? >> >> Thanks. >> * >> * 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/ > > * > * 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/ * * 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/