Hello,
I am interested in testing a coefficient restriction for a coefficient to be greater than a certain value, say .01.
When I type this into wald coefficient restriction in eviews 6, it says, "invalid specification"
I tried the following syntax: c(2)>.01
So the only acceptable restrictions are in "=" format?
Are inequality restrictions possible in eviews 6? If not, are they possible in eviews 8 or 9?
please advise, :)
Linear Restriction Analysis
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startz
- Non-normality and collinearity are NOT problems!
- Posts: 3798
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Linear Restriction Analysis
Just use the t-statistic from the test on equality, and then look up a one-tailed critical value from a table.
Re: Linear Restriction Analysis
Thanks startz,
If I could follow up for a second,
I believe an F statistic would work as well right? In eviews 6, that's all the wald coefficient restriction output gives.
let's use an example, for clarity:
Say I wanted to examine the following restriction:
c(2)>c(3)
In eviews I type: c(2)=c(3)
Supposing this null was rejected, from comparing the F stat with a critical value, then we know that c(2) is either greater than or less than c(3). To test if it was greater we use a right tailed f distribution. Is this what you meant?
If I could follow up for a second,
I believe an F statistic would work as well right? In eviews 6, that's all the wald coefficient restriction output gives.
let's use an example, for clarity:
Say I wanted to examine the following restriction:
c(2)>c(3)
In eviews I type: c(2)=c(3)
Supposing this null was rejected, from comparing the F stat with a critical value, then we know that c(2) is either greater than or less than c(3). To test if it was greater we use a right tailed f distribution. Is this what you meant?
-
startz
- Non-normality and collinearity are NOT problems!
- Posts: 3798
- Joined: Wed Sep 17, 2008 2:25 pm
Re: Linear Restriction Analysis
I don't believe there is a simple way to do this with an F-statistic. However, so long a you are testing a single restriction the t-stat is just the square root of the F-stat.
Re: Linear Restriction Analysis
Oh true enough,
I can work with that. Thanks so much!
I can work with that. Thanks so much!
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