In the Eviews User's Guide, I only find Wald test to test things like C(2)=c(6). How can I test coefficient relationship like c(2)>c(6)?
Thanks.
How to test c(2)>c(6)
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Re: How to test c(2)>c(6)
cylin wrote:In the Eviews User's Guide, I only find Wald test to test things like C(2)=c(6). How can I test coefficient relationship like c(2)>c(6)?
Thanks.
Do the same test, but you'll have to look up a one-tailed critical value rather than use the p-value reported by EViews. The EViews p-value is for two-tailed tests.
Re: How to test c(2)>c(6)
startz,
Thanks. But how?
For example, I got the following restuls:
Test Statistic Value df Probability
Chi-square 0.129122 1 0.7193
Null Hypothesis Summary:
Normalized Restriction (= 0) Value Std. Err.
C(6) - C(23) 0.027229 0.075777
Restrictions are linear in coefficients.
Thanks. But how?
For example, I got the following restuls:
Test Statistic Value df Probability
Chi-square 0.129122 1 0.7193
Null Hypothesis Summary:
Normalized Restriction (= 0) Value Std. Err.
C(6) - C(23) 0.027229 0.075777
Restrictions are linear in coefficients.
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- Non-normality and collinearity are NOT problems!
- Posts: 3775
- Joined: Wed Sep 17, 2008 2:25 pm
Re: How to test c(2)>c(6)
cylin wrote:startz,
Thanks. But how?
For example, I got the following restuls:
Test Statistic Value df Probability
Chi-square 0.129122 1 0.7193
Null Hypothesis Summary:
Normalized Restriction (= 0) Value Std. Err.
C(6) - C(23) 0.027229 0.075777
Restrictions are linear in coefficients.
Divide the value by the standard error, from the normalized restriction. This gives the t-stat.
Re: How to test c(2)>c(6)
Starz,
Do you mean:
0.027229/0.075777=0.3593, which is the t-stat?
How can we tell this t-stat is for C(6)>c(23) or C(6)<c(23) ?
Do you mean:
0.027229/0.075777=0.3593, which is the t-stat?
How can we tell this t-stat is for C(6)>c(23) or C(6)<c(23) ?
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test unilatéral
bonjour,
suite à mes résultats de régression (PIB: variable dépendante, ide; transfert et APD sont des variables indépendantes), j'ai effectué des tests d'hypothèse pour comparer les coefficients individuelles des trois sources de financement ( ide, APD, et transferts). j'ai formé l'hypothèse nulle et alternative par exemple (H0: c(APD)= c(ide) et H1: c(APD)>c(ide)). des tests unilatéraux ont été utilisés.
comment puis-je faire ce genre de test avec Eviews?
suite à mes résultats de régression (PIB: variable dépendante, ide; transfert et APD sont des variables indépendantes), j'ai effectué des tests d'hypothèse pour comparer les coefficients individuelles des trois sources de financement ( ide, APD, et transferts). j'ai formé l'hypothèse nulle et alternative par exemple (H0: c(APD)= c(ide) et H1: c(APD)>c(ide)). des tests unilatéraux ont été utilisés.
comment puis-je faire ce genre de test avec Eviews?
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