Hello,
Thank you very much for your answers. That is really appreciated,
Jean-Baptiste
On 30 March 2011 15:09, Riccardo (Jack) Lucchetti <r.lucchetti(a)univpm.it>wrote:
On Wed, 30 Mar 2011, Jean-Baptiste Combes wrote:
Dear all,
>
> I have been using Gretl recently to estimate proportion of staff, I have
> three groups and the sum of the three
> proportion equals to 1. According to Wooldridge (2002) this can of "share"
> systems can be estimated by SUR models
> with Feasible GLS estimation (p. 167). Accordingly I can remove one
> equation.
>
> This is one of the models I estimate
> "Skill-Mix Gap" <- system
> equation pNHDfteHT2 const cvnbbeds avgnbbeds nbhospital Found TypeHT_1
> TypeHT_2 TypeHT_4 TypeHT_5 gapNCo0305recod
> gapHCo0305recod gapMCo0305recod
> equation pHDNfteHT2 const cvnbbeds avgnbbeds nbhospital Found TypeHT_1
> TypeHT_2 TypeHT_4 TypeHT_5 gapNCo0305recod
> gapHCo0305recod gapMCo0305recod
> endog pNHDfteHT2 pHDNfteHT2
> instr const cvnbbeds avgnbbeds nbhospital Found TypeHT_1 TypeHT_2 TypeHT_4
> TypeHT_5 gapNCo0305recod
> gapHCo0305recod gapMCo0305recod
> end system
>
> estimate "Skill-Mix Gap" method=sur --iterate
>
> The estimation is computed, no problems
>
> I put iterate but the estimation is done with just one iteration. In the
> command GRETL reference book I read that
> with iterate the estimation is the maximum likelihood one.
>
> I am completely lost because I would like to know how does that work, I
> would prefer to have FGLS as in
> Wooldridge (my reference book in econometrics).
>
> There is not so much information around (or at least I have not found it)
> about how SUR are being estimated.
>
> If someone could help me, that would be great, I am presenting tomorrow
> and I am a bit nervous,
>
Maybe I'm missing something, but it would seem that your equation have all
the same regressors and no restrictions. In this case, SUR is equivalent to
equation-by-equation OLS: this result is well known and can be proven easily
(see eg section 14.2.2 in Greene's textbook).
Riccardo (Jack) Lucchetti
Dipartimento di Economia
Università Politecnica delle Marche
r.lucchetti(a)univpm.it
http://www.econ.univpm.it/lucchetti
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