Non-linear restriction on the intercept

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oksana
Posts: 8
Joined: Wed Mar 03, 2010 12:53 am

Non-linear restriction on the intercept

Postby oksana » Thu Mar 18, 2010 9:54 pm

Hi guys,

I need to run a regression: Y = -kB + BX + e, where Y and X are sampled variables and k and B are of interest. It looks like a linear regression BUT there is a non-linear restriction on the intercept and we can't simply divide the slope by the intercept to come up with the value of K. Do you have any idea as to how to estimate such an equation in EVeiws? Thanks a lot for your ideas!

EViews Gareth
Fe ddaethom, fe welon, fe amcangyfrifon
Posts: 13586
Joined: Tue Sep 16, 2008 5:38 pm

Re: Non-linear restriction on the intercept

Postby EViews Gareth » Thu Mar 18, 2010 10:50 pm

Code: Select all

y=-c(1)*c(2)+c(1)*x

oksana
Posts: 8
Joined: Wed Mar 03, 2010 12:53 am

Re: Non-linear restriction on the intercept

Postby oksana » Fri Mar 19, 2010 12:26 am

Thanks Gareth!! The only thing is that when estimating it using OLS, the result doesn't make any sense to me.... I wonder if it's actually appropriate to use OLS, given non-linear expression in the model. Thanks again!

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

Re: Non-linear restriction on the intercept

Postby startz » Fri Mar 19, 2010 7:17 am

OLS is perfectly appropriate. However, if B is anywhere near zero the small sample properties of the test are very bad. A test for k=k0 with proper size, due to Fieller, is

Code: Select all

ls c x c(1)=-k0*c(2)


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