Notice: On April 23, 2014, Statalist moved from an email list to a forum, based at statalist.org.
From | William Buchanan <william@williambuchanan.net> |
To | statalist@hsphsun2.harvard.edu |
Subject | Re: st: Blundell & Robin (1999) estimator |
Date | Tue, 8 Jan 2013 15:04:39 -0800 |
Hi Ben, Perhaps some of the confusion could be better clarified by following some of the established conventions of the Statalist? The second bullet in the link (http://www.stata.com/support/faqs/resources/statalist-faq/#others) would likely clarify this and help you to restate your question in a way that will be more likely to elicit helpful responses from other list members. HTH, Billy On Jan 8, 2013, at 2:31 PM, ben jones wrote: > Hi > > I have estimated a Quaids demand system using GMM but the results are too slow to compile. Blundell and Robin (1999) and Lewbel and Pendakur (2009) both use a form iterated linear estimator which is supposedly quicker to run. > > This issue has been the subject to previous post, and the code employed by Lewbel and Pendakur (2009) has also previously been shared (see links below). However, I am currently struggling with a few basic issues: > > First, in order to implement the Blundell and Robin estimator, should I iterate on FGLS rather than 3SLS as undertaken by Lewbel and Pendakur (2009)? > > Second, if I wish to make weaker assumptions than independence between regressors and error terms, while using a control function approach to deal with exogeneity, what adjustments do I need to make to the standard errors? > > Third, I am slightly unclear how to code up the iterations on b(p) and a(p)? I cant see how the gamma matrix is determined in the Pendakur code, for example. > > Any advice suggestions would be much appreciated. > > Thanks! > > Ben > > > > > http://www.stata.com/statalist/archive/2011-10/msg00431.html > > http://www.sfu.ca/~pendakur/iterated_3sls_without_pz,py,zy.do > > > * > * 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/