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