Panel Least Squares estimation method Nonlinear optimization algorithm
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Panel Least Squares estimation method Nonlinear optimization algorithm
Hello,
I am estimating a non linear model via a panel data set in eviews9. Since model spec is nonlinear, I enter the equation directly in specification tab and selecting the default LS Least Squares method, selecting "None" from Panel Options Tab > Cross section and Weights dropdown lists. One estimation result report shows eviews used Panel Least Squares Method.
1What optimization algorithm does eviews use in Panel Least Squares Method ? (i.e. standard iterative algorithms like newtonraphson, Marquardt etc)
2 When my data is panel I cannot see or choose the method from equation estimation tab. How can I see or choose the algorithm ?
PS. I searched eviews guide and forum, couldnt find any info on this.
Would appreciate any info on this.
Thank you in advance
I am estimating a non linear model via a panel data set in eviews9. Since model spec is nonlinear, I enter the equation directly in specification tab and selecting the default LS Least Squares method, selecting "None" from Panel Options Tab > Cross section and Weights dropdown lists. One estimation result report shows eviews used Panel Least Squares Method.
1What optimization algorithm does eviews use in Panel Least Squares Method ? (i.e. standard iterative algorithms like newtonraphson, Marquardt etc)
2 When my data is panel I cannot see or choose the method from equation estimation tab. How can I see or choose the algorithm ?
PS. I searched eviews guide and forum, couldnt find any info on this.
Would appreciate any info on this.
Thank you in advance
Re: Panel Least Squares estimation method Nonlinear optimization algorithm
Still not a clue on this issue.. I guess it must be either a concept so well known that nobody comments even the moderators..
All the best.
All the best.

 EViews Developer
 Posts: 2530
 Joined: Wed Oct 15, 2008 9:17 am
Re: Panel Least Squares estimation method Nonlinear optimization algorithm
Sorry, didn't see this.
The panel NLS uses GaussNewton (the panel engine hasn't yet been revised to allow for all of the options available for standard single equation estimation).
The panel NLS uses GaussNewton (the panel engine hasn't yet been revised to allow for all of the options available for standard single equation estimation).
Re: Panel Least Squares estimation method Nonlinear optimization algorithm
Hello,
I ran through Eviews help files and could not find how panel nonlinear least squares method(Gauss Newton Algorithm) differs from nonlinear least squares method(Gauss Newton Algorithm) for reference purposes. Would appreciate if anyone can refer to a resource or comment on it.
Many thanks in advance.
acemi
I ran through Eviews help files and could not find how panel nonlinear least squares method(Gauss Newton Algorithm) differs from nonlinear least squares method(Gauss Newton Algorithm) for reference purposes. Would appreciate if anyone can refer to a resource or comment on it.
Many thanks in advance.
acemi

 EViews Developer
 Posts: 2530
 Joined: Wed Oct 15, 2008 9:17 am
Re: Panel Least Squares estimation method Nonlinear optimization algorithm
I am not sure what you mean by differs. It's the same algorithm applied to a different objective function.
Re: Panel Least Squares estimation method Nonlinear optimization algorithm
Dear Eviews Glenn,
Sorry for the confusion, I am trying to explicitly state objective function to be minimized for Panel Nonlinear Least Squares. I couldn't find it Eviews help files, or on the internet, or missed out. Would appreciate if you can provide any reference on this.
Best regards
acemi
Sorry for the confusion, I am trying to explicitly state objective function to be minimized for Panel Nonlinear Least Squares. I couldn't find it Eviews help files, or on the internet, or missed out. Would appreciate if you can provide any reference on this.
Best regards
acemi

 EViews Developer
 Posts: 2530
 Joined: Wed Oct 15, 2008 9:17 am
Re: Panel Least Squares estimation method Nonlinear optimization algorithm
It depends on what model you are estimating, though at heart it's some variant on a sumofsquares.
Re: Panel Least Squares estimation method Nonlinear optimization algorithm
Dear Glenn,
I understand but isnt it possible to write it out in shorthand ? If I'm not mistaken at heart we should be approximating the SSR (objective function to be minized) with quadratic taylor series.Then applying GNA for iterations. But how this works out for panel setting I cant figure it out. Would be grateful if you can comment.
PS : I'm also attaching NLS specification
BR
acemi
I understand but isnt it possible to write it out in shorthand ? If I'm not mistaken at heart we should be approximating the SSR (objective function to be minized) with quadratic taylor series.Then applying GNA for iterations. But how this works out for panel setting I cant figure it out. Would be grateful if you can comment.
PS : I'm also attaching NLS specification
BR
acemi

 EViews Developer
 Posts: 2530
 Joined: Wed Oct 15, 2008 9:17 am
Re: Panel Least Squares estimation method Nonlinear optimization algorithm
I don't see your specification. That said, the GaussNewton methods use first derivatives in the optimization. The NewtonRaphson uses the second derivatives. There's nothing different about the panel algorithms than the algorithms discussed for the standard NLLS. The only difference is that the SSRs are obtained after stacking the crosssections and applying transformations and weighting as necessary for the estimator in question.
As in
http://www.eviews.com/help/helpintro.ht ... ect_header
The only difference is that the objective is slightly more complex.
As in
http://www.eviews.com/help/helpintro.ht ... ect_header
The only difference is that the objective is slightly more complex.
Re: Panel Least Squares estimation method Nonlinear optimization algorithm
When I try to add the spec via word, error parsing server response is given. So pasting it in text below sorry for the messy look.
ln〖y_it 〗={(1〖e^(βt) 〗 )α(1θ) ln〖s_it 〗+(1〖e^(βt) 〗 )β1 ln〖L_it 〗+(1〖e^(βt) 〗 )ϕ ln〖〖FI〗_it 〗+(1〖e^(βt) 〗 )ln[γ+(1α)β1n_it ]+(1〖e^(βt) 〗 )α(1θ) ln[(n_it+δ)+β1n_it ] }+e^(βt) ln〖y_(it1) 〗+u_it
ln〖y_it 〗={(1〖e^(βt) 〗 )α(1θ) ln〖s_it 〗+(1〖e^(βt) 〗 )β1 ln〖L_it 〗+(1〖e^(βt) 〗 )ϕ ln〖〖FI〗_it 〗+(1〖e^(βt) 〗 )ln[γ+(1α)β1n_it ]+(1〖e^(βt) 〗 )α(1θ) ln[(n_it+δ)+β1n_it ] }+e^(βt) ln〖y_(it1) 〗+u_it

 EViews Developer
 Posts: 2530
 Joined: Wed Oct 15, 2008 9:17 am
Re: Panel Least Squares estimation method Nonlinear optimization algorithm
What is it that you put into EViews?
Re: Panel Least Squares estimation method Nonlinear optimization algorithm
nls object within the attached wf has the specification.
a valid starting point for c vector is : 0.010000 0.200000 0.200000 0.000000 0.400000
best regards
a valid starting point for c vector is : 0.010000 0.200000 0.200000 0.000000 0.400000
best regards
 Attachments

 model data_pennworld_forum.wf1
 (139.26 KiB) Downloaded 13 times

 EViews Developer
 Posts: 2530
 Joined: Wed Oct 15, 2008 9:17 am
Re: Panel Least Squares estimation method Nonlinear optimization algorithm
As you have experienced, that specification can't really be estimated with these data. I've played around with it a bit and it looks as though there's an identification problem as the C(3) coefficient wants to go off to infinity.
Our older panel code only supports one type of nonlinear estimation technique (in contrast to the newer standard equation nonlinear estimation implementation) so I've converted your problem into a nonpanel workfile (by generating a YLAG and TREND variable in the panel, then unstructuring), and then running a modified equation on an unstructured workfile. I can get convergence with BFGS, but the standard errors and gradients suggest that the model isn't estimated with any precision.
In short, I think the parameters of the model are not well identified (collinearity in a nonlinear setting).
One last comment. I can't really read your Word specification so I'm not certain that the EViews spec you are estimating matches what you have there. You should probably double check that just to be sure.
Our older panel code only supports one type of nonlinear estimation technique (in contrast to the newer standard equation nonlinear estimation implementation) so I've converted your problem into a nonpanel workfile (by generating a YLAG and TREND variable in the panel, then unstructuring), and then running a modified equation on an unstructured workfile. I can get convergence with BFGS, but the standard errors and gradients suggest that the model isn't estimated with any precision.
In short, I think the parameters of the model are not well identified (collinearity in a nonlinear setting).
One last comment. I can't really read your Word specification so I'm not certain that the EViews spec you are estimating matches what you have there. You should probably double check that just to be sure.
Re: Panel Least Squares estimation method Nonlinear optimization algorithm
Understood, my sincere thanks for your elaborate effort and explanations. At least we now know there exists collinearity.
About your last comment : 1) specification was uploaded in workfile in my previous post within nls equation object.
2) I ran a comprehensive simulation via program and for these starting values the algorithm converged c(1)c(5) : 0.01, 1.8, 0.1, 0.7, 0.4
I'm attaching workfile having converged results in eqn object eq01. Not all coeff are significant but two are and additional one more is very close.
The reason I was checking for collinearity was that very few convergence existed and most of them are out of range for theory.
BR
acemi
About your last comment : 1) specification was uploaded in workfile in my previous post within nls equation object.
2) I ran a comprehensive simulation via program and for these starting values the algorithm converged c(1)c(5) : 0.01, 1.8, 0.1, 0.7, 0.4
I'm attaching workfile having converged results in eqn object eq01. Not all coeff are significant but two are and additional one more is very close.
The reason I was checking for collinearity was that very few convergence existed and most of them are out of range for theory.
BR
acemi
 Attachments

 model data_pennworld_forum.wf1
 (142.87 KiB) Downloaded 10 times
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