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From | Nick Cox <n.j.cox@durham.ac.uk> |
To | "'statalist@hsphsun2.harvard.edu'" <statalist@hsphsun2.harvard.edu> |
Subject | st: RE: panel VAR Inessa love codes |
Date | Sat, 28 May 2011 11:47:16 +0100 |
You asked very similar questions on Wednesday http://www.stata.com/statalist/archive/2011-05/msg01382.html One repeat of a posting is allowed, but it's better to wonder why you got no replies. See for generic advice http://www.stata.com/support/faqs/res/statalist.html#noanswer In this particular case, I suspect it's best to contact the author as indicated in the help file, as she doesn't appear to be active on Statalist. Nick n.j.cox@durham.ac.uk Bernardo Schettini I am using Inessa Love's panel-VAR codes pvar.ado, along with sgmm.ado and Helm.ado to do system GMM and forward mean-defference the variables. The programs seem to work fine. Still, I have 3 questions: 1 - How do I include exogenous variables in the model? The syntax is pvar varlist [if exp], [lag(p) options], but all variables in the valist are treated as endogenous. How am I supposed to include time dummies or other exogenous variables? 2 - How can I do hypotheses testinh after estimating the panel-VAR? 3 - sgmm does system-GMM in the sense that it estimates de whole set of equations, treating all variables as endogenous. But it is not system-GMM in the sense of Arellano and Bover (1995). That said, it is not clear how variables are instrumentalized and what are the benefits and pitfalls of the sgmm procedure. Can anyone help me with that? * * 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/