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From | Stas Kolenikov <skolenik@gmail.com> |
To | "statalist@hsphsun2.harvard.edu" <statalist@hsphsun2.harvard.edu> |
Subject | Re: st: Small area Estimation |
Date | Sun, 24 Nov 2013 10:45:07 -0600 |
Most of the time, small area estimation approach is specifically tailored to a given application, depending on whether you have unit or area models, at what levels you have your auxiliary data, etc. I have used -gllamm- in my applications with binary outcomes, although of course the speed has been killing me :(. -- Stas Kolenikov, PhD, PStat (ASA, SSC) -- Senior Survey Statistician, Abt SRBI -- Opinions stated in this email are mine only, and do not reflect the position of my employer -- http://stas.kolenikov.name On Sat, Nov 23, 2013 at 7:08 AM, Ashish Gupta <ashishatbhu@gmail.com> wrote: > I would like to enquire about the existence of ado or code to perform > small area estimation in stata. I understand that small area > estimation can be generated using GLLAMM (nested error random effect > model with small area effects) Hierarchical Bayesian Modelling can > also be used to introduce complex models using MCMC methods. However I > do not know if this has been tried in stata. > Any help on this matter will be greatly appreciated. > > -- > Ashish Kumar Gupta > Senior Research Fellow (Population Studies) > International Institute for Population Sciences (IIPS), Govandi > Station Road, Deonar, > Mumbai-400 088, INDIA > Mobile No.: +91 9967106908 > * > * 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/