Re: st: Small area Estimation

[Stas Kolenikov <skolenik@gmail.com>]

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
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