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OK thank you. I would like ask your professional judgement on one issue : the simulation gave multiple converging results but most of them having different coefficient values. SSR values are also different. I conclude that there are multiple local optima in the search range. Moreover when I rank by ...

Thank you very much.
Is there method to conduct perturb study in Eviews9 (built-in, add-in, or programming) ?

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 ...

I have one issue : as you can see from attached file eq02 on previous posts, the regression specification has coefficients (c(1) to c(5)) jointly multiplying the regressors. For example : (1-exp(c(1))@trend)*c(2)*(1-c(3))*LOG(Saving_rate*100) Do you have any idea how are we to interpret the Variance...

OK I matched it and then does it give me info on multicorrelation of c(1)'s regressor with other coefficient's regressors for example ?

So how can i interpret the results any idea.

Hello,

Variance decomposition for eq02 is attached within workfile as table fi_coefvardecomp.
Somehow eviews displays coefficients (c1 to c5) rather than regressors themselves in the table.
How are we to determine multicoll between regressors with this table please comment.
Thank you

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

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(1-θ) ln⁡〖s_it 〗+(1⁡〖-e^(-βt) 〗 )β1 ln⁡〖L_it 〗+(1⁡〖-e^(-βt) 〗 )ϕ ln⁡〖〖FI〗_it 〗+(1⁡〖-e^(-βt) 〗 )ln[γ+(1-α)β1n_it ]+(1⁡〖-e^(-βt) 〗 )α(1-θ) ln⁡...

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...

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

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 a...

very clear now, thank you.

OK that clarifies it thank you.

Hello, Is there a way to restrict the parameter c(2) in eviews9 ?Thank you! The whole purpose for @logit transformation is to impose/force limits for c(2). For the @logit(c(2)) conversion, the NLS estimation of c(2) is 3,475962 which is clearly not within intended range limits of 0<c(2)<1. So in ord...