two-way panel model

For technical questions regarding estimation of single equations, systems, VARs, Factor analysis and State Space Models in EViews. General econometric questions and advice should go in the Econometric Discussions forum.

Moderators: EViews Gareth, EViews Moderator

haru
Posts: 2
Joined: Fri Nov 14, 2008 7:19 pm

two-way panel model

Postby haru » Sat Nov 29, 2008 1:06 am

:? EViews can estimate a two-way panel model by choosing the effects from the Fixed and Random Effects boxes.
My question is the following: Suppose that I choose the fixed effect for cross-section and the random effect for period.Then which estimation methods does EViews actually apply? SGLS , LSDV or mixed?

EViews Glenn
EViews Developer
Posts: 2672
Joined: Wed Oct 15, 2008 9:17 am

Re: two-way panel model

Postby EViews Glenn » Mon Dec 01, 2008 12:49 am

It estimates using the mixed model. LSDV for the fixed effect, and GLS on the remainder (though I'm not certain what the "S" in your "SGLS" refers to).

haru
Posts: 2
Joined: Fri Nov 14, 2008 7:19 pm

Re: two-way panel model

Postby haru » Tue Dec 02, 2008 6:42 pm

Thank you for your quick reply.
Sorry for my misspelling. "SGLS" should be read as FGLS (Feasible GLS).
However, I am still confused. How does Eviews accommodate the two different estimation methods?
I cannot find any standard textbooks, say Baltagi, Wooldridge, or Arellano, which explain the estimation
for cross-fix and time -random model.
Do you know such a textbook?

Regards,

EViews Glenn
EViews Developer
Posts: 2672
Joined: Wed Oct 15, 2008 9:17 am

Re: two-way panel model

Postby EViews Glenn » Wed Dec 03, 2008 5:33 am

I don't have a reference handy, but from my recollection the idea is pretty straightforward. For balanced designs, the order that the GLS and fixed effects transformations are applied is not relevant since the Kronecker product can be factored into separate period and cross-section transformations. Thus, you can simply orthogonalize the data with respect to the fixed effect, then apply the standard one-way estimator for random effects to the orthogonalized data.


Return to “Estimation”

Who is online

Users browsing this forum: No registered users and 30 guests