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From | "Justina Fischer" <JAVFischer@gmx.de> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: pseudo panels implementation in Stata |
Date | Mon, 30 Apr 2012 01:02:37 +0200 |
Hi I use pseudo panels myself. You may apply a multi-level (e.g. country-individuals) strategy. The best way to think of pseudo panels is having a true panel at some higher level but repapted cross-sections at the lower level. Good luck Justina -------- Original-Nachricht -------- > Datum: Sun, 29 Apr 2012 12:00:08 +0000 > Von: "Russell Wildeman" <rwildeman@idasa.org.za> > An: statalist@hsphsun2.harvard.edu > Betreff: Re: st: pseudo panels implementation in Stata > -----Original Message----- > From: <S.Jenkins@lse.ac.uk> > Sender: owner-statalist@hsphsun2.harvard.edu > Date: Sun, 29 Apr 2012 11:22:37 > To: <statalist@hsphsun2.harvard.edu> > Reply-To: statalist@hsphsun2.harvard.eduSubject: st: pseudo panels > implementation in Stata > > ------------------------------ > > Date: Sat, 28 Apr 2012 21:59:48 -0300 > From: "Henrique Neder" <hdneder@ufu.br> > Subject: st: pseudo panels implementation in Stata > > Hello all, > > Has anybody knows any code in Stata that deals with pseudo panels? I am > trying to work with some dynamic panel models using repeated cross > section > data that are cluster samples. I had read the important paper from > Verbeek > ("Pseudo Panels and repeated cross-sections" and "Estimating Dynamic > Models > from Repeated Cross-sections" ) but nothing implemented empirically in > this > direction. Surprisingly, it appears that there are no much development > in > this field. An important question discussed in these papers is that > pseudo > panels are nothing more than models with IV were the instruments are > dummy > variables referring to the cohorts. In these sense my intuition is > that > the most of the Stata resources dealing with panel data models (and > particularly with dynamic panel models), like xtreg, xtabond, xtabond2, > could be used directed for pseudo panels, with the pertinent cautions. > Any comments are welcome. > > ============== > Insofar as I understand these methods, the data set used for estimation > comprises cell means where cells are defined by age, birth cohort and > other variables. The source datasets are typically repeated > cross-section surveys, rather than longitudinal / panel surveys. I think > the principal research hassle is creation of the estimation data set > rather than the estimation method per se that is applied to the > estimation data set. Stata has plenty of tools that might be useful for > creating such estimation data sets. -collapse- comes first to mind. > > > Stephen > ------------------------------------- > Professor Stephen P. Jenkins <s.jenkins@lse.ac.uk> > Department of Social Policy > London School of Economics and Political Science > Houghton Street, London WC2A 2AE, U.K. > Tel: +44 (0)20 7955 6527 > Changing Fortunes: Income Mobility and Poverty Dynamics in Britain, OUP > 2011, http://ukcatalogue.oup.com/product/9780199226436,do > Survival Analysis using Stata: > http://www.iser.essex.ac.uk/survival-analysis > Downloadable papers and software: http://ideas.repec.org/e/pje7.html > > > > Please access the attached hyperlink for an important electronic > communications disclaimer: http://lse.ac.uk/emailDisclaimer > > * > * 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/ -- Justina AV Fischer, PhD COFIT Fellow World Trade Institute University of Bern homepage: http://www.justinaavfischer.de/ e-mail: javfischer@gmx.de. justina.fischer@wti.org papers: http://ideas.repec.org/e/pfi55.html * * 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/