Having problem with estimating ces production function

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Kanan
Posts: 5
Joined: Sat Jul 02, 2016 10:52 am

Having problem with estimating ces production function

Postby Kanan » Sat Jul 02, 2016 11:10 am

Hi,

I need to estimate CES production function like log(Y)=log(aK^-p+(1-a)*L^-p)/(-1/p)+yt+e. I am trying to estimate but cant get a result. I did Cobb-Douglas but have trouble with CES production function.

Great thanks in advance

Kanan

startz
Non-normality and collinearity are NOT problems!
Posts: 3797
Joined: Wed Sep 17, 2008 2:25 pm

Re: Having problem with estimating ces production function

Postby startz » Sat Jul 02, 2016 12:09 pm

Nobody here can guess what you did. Post as many details as possible about what you did and what went wrong and someone may be able to help.

Kanan
Posts: 5
Joined: Sat Jul 02, 2016 10:52 am

Re: Having problem with estimating ces production function

Postby Kanan » Sat Jul 02, 2016 12:34 pm

Nobody here can guess what you did. Post as many details as possible about what you did and what went wrong and someone may be able to help.
Thanks for reply,

I read from one source that i can estimate CES production function on eviews like this

Y = C(1)*(C(2)*K^(-C(3)) + (1− C(2)) *L^(-C(3))) ^(−1/C(3))

but it didn't work, I get NA in my st errors and probabilties. So i need to know how can I correctly write this equation that would work. I need to estimate the equation that i first posted and there is a trend also considered i guess.

thanks again,

Kanan

startz
Non-normality and collinearity are NOT problems!
Posts: 3797
Joined: Wed Sep 17, 2008 2:25 pm

Re: Having problem with estimating ces production function

Postby startz » Sat Jul 02, 2016 1:37 pm

Try changing the starting values in the c() vector.

Kanan
Posts: 5
Joined: Sat Jul 02, 2016 10:52 am

Re: Having problem with estimating ces production function

Postby Kanan » Sat Jul 02, 2016 3:46 pm

Try changing the starting values in the c() vector.
Sorry, I didn't fully get what you mean. I changed the order of c and started from 2, in addition I changed the starting value of one of the variables but still didn't get any result. Is the above writing ok? If so the coefficients should be similar to Cobb-Douglas function, but i get NA in probabilities and R2 is negative large number greater than 100.

Maybe I didn't understand you correctly. Would be glad for any help.

Thanks

startz
Non-normality and collinearity are NOT problems!
Posts: 3797
Joined: Wed Sep 17, 2008 2:25 pm

Re: Having problem with estimating ces production function

Postby startz » Sat Jul 02, 2016 4:16 pm

In the workfile window you'll see an object named "c". That's where EViews stores coefficients. Go in an change the values to ones you think might be reasonable before you start the estimate. (The order of the coefficients doesn't matter.) Sometimes this helps in nonlinear estimates. If that doesn't work, you might want to post your workfile, including the equation you've estimated.

Kanan
Posts: 5
Joined: Sat Jul 02, 2016 10:52 am

Re: Having problem with estimating ces production function

Postby Kanan » Sat Jul 02, 2016 4:52 pm

Thanks for your help,

I tried but still R2 is not getting a value that should be. I have uploaded the work file. The equation need to estimated is like this

log(GDP)=log(a*Capital^-p+(1-a)*Labour^-p)/(-1/p)+yt+e

It is a log written version of ces production function. Capital is with t-1. I will put the picture of the equation as well.


Thank you again
Attachments
gdpgr.wf1
(27.8 KiB) Downloaded 268 times

Kanan
Posts: 5
Joined: Sat Jul 02, 2016 10:52 am

Re: Having problem with estimating ces production function

Postby Kanan » Sat Jul 02, 2016 4:53 pm

This is the picture from a paper.

Thanks
Attachments
production function.PNG
production function.PNG (20.93 KiB) Viewed 6271 times

startz
Non-normality and collinearity are NOT problems!
Posts: 3797
Joined: Wed Sep 17, 2008 2:25 pm

Re: Having problem with estimating ces production function

Postby startz » Sat Jul 02, 2016 5:07 pm

I don't think you've done anything wrong. The solution is highly sensitive to the starting values. For example, if you add in the trend term and start at c=1, you get a perfectly nice estimate...it just isn't the same estimate as in the picture.Getting a reliable nonlinear estimate with only 24 observations is tough. Sometimes there's nothing to do but stat estimates at lots of different values and see which one is best. Alternatively, one can plot the likelihood..but EViews isn't the right software for that.


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