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| From | Ishani Tewari <ishani.tewari@gmail.com> |
| To | statalist <statalist@hsphsun2.harvard.edu> |
| Subject | st: non-linearities in ml |
| Date | Tue, 30 Jul 2013 22:21:48 -0400 |
Dear all, I need to estimate a logit where the parameters (beta1,beta2,beta3) enter very non-linearly:. lnf=ln(invlogit((X1^beta1')*(`beta2*X2+`beta3'*log(`beta3'/X1)))) if y1==1 lnf=ln(invlogit(-(X1^beta1')*(`beta2*X2+`beta3'*log(`beta3'/X1)))) if y1==0 Can I (should I) still use the "lf" model? thnks * * 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/