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From | "Happy Stata" <happystata@gmail.com> |
To | <statalist@hsphsun2.harvard.edu> |
Subject | RE: st: SUR |
Date | Sat, 14 Jul 2012 18:25:28 +0300 |
Thank you sir. Have a good weekend. Mesut -----Original Message----- From: owner-statalist@hsphsun2.harvard.edu [mailto:owner-statalist@hsphsun2.harvard.edu] On Behalf Of John Antonakis Sent: Saturday, July 14, 2012 5:42 PM To: statalist@hsphsun2.harvard.edu Subject: Re: st: SUR Hi Mesut: Take a look at the Stata command -sem-. You can estimate SUR models (see Ex. 12) with missing data using the -method(mlmv)- option. HTH, John. __________________________________________ Prof. John Antonakis Faculty of Business and Economics Department of Organizational Behavior University of Lausanne Internef #618 CH-1015 Lausanne-Dorigny Switzerland Tel ++41 (0)21 692-3438 Fax ++41 (0)21 692-3305 http://www.hec.unil.ch/people/jantonakis Associate Editor The Leadership Quarterly __________________________________________ On 14.07.2012 16:02, Mesut Karakas wrote: > Hello, > > we are using sur (seemingly unrelated regression), but our equations > do not have the same number of observations due to missing variables. > To cope with this issue, there exists a solution: > http://www.stata-journal.com/sjpdf.html?articlenum=st0079 > But this solution takes too much time. > Is there anyone who can help with this problem in a basic way (i.e. a > command in stata or add-in etc). > Thanks in advance. > > Mesut Karakas > * > * 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/