Hello Guys!
How do you interpret the log likelihood of -189.95?
is this good or bad?
NOTE: I am using probit model.
Thanks guys!.
Interpreting Log Likelihood
Moderators: EViews Gareth, EViews Moderator
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startz
- Non-normality and collinearity are NOT problems!
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Re: Interpreting Log Likelihood
The log likelihood is used for comparing two models. A single value has no meaning.
Re: Interpreting Log Likelihood
Thanks Startz for the reply,
I only have one probit regression, but just seeing the value itself. how would you interpret it?. I need for my thesis.
Thanks.
I only have one probit regression, but just seeing the value itself. how would you interpret it?. I need for my thesis.
Thanks.
-
EViews Gareth
- Fe ddaethom, fe welon, fe amcangyfrifon
- Posts: 13604
- Joined: Tue Sep 16, 2008 5:38 pm
Re: Interpreting Log Likelihood
The log likelihood is used for comparing two models. A single value has no meaning.
Re: Interpreting Log Likelihood
Thanks Gareth,
sorry for the misunderstanding there. I know now what to do.
Thanks Gareth and Startz!
sorry for the misunderstanding there. I know now what to do.
Thanks Gareth and Startz!
Re: Interpreting Log Likelihood
hello Eviws users:
I am PhD student in agricultural Economics. I want to analyse the yield risk of crops. I am using Normal, beta, Johanson SU and SB for the yield risk analysis. To analyse the distribution function, I am using maximum likelihood estimation or say log likelihood. For this I am using Eviews 6.0 version and I start facing problem from the begining; I am giving equation besed on Eview guide.
The equation I gave is
@logl logl1
res = yield - c(1) - c(2)*t- c(3)*t^2
Sigma= c(4) + C(5)*t)
var = sigma^2
logl1 = log(@dnorm(res/@sqrt(var))) - log(var)/2
't' is time, it is time series data. yield is crop yield. The mean and variance equations are drawn from one published paper. When I give run command, the error message ups up as "missing value in @logl series at current coefficients at observation 1". I have know Idea where problem is and how to solve it. Thank you for ur suggestion.
I am PhD student in agricultural Economics. I want to analyse the yield risk of crops. I am using Normal, beta, Johanson SU and SB for the yield risk analysis. To analyse the distribution function, I am using maximum likelihood estimation or say log likelihood. For this I am using Eviews 6.0 version and I start facing problem from the begining; I am giving equation besed on Eview guide.
The equation I gave is
@logl logl1
res = yield - c(1) - c(2)*t- c(3)*t^2
Sigma= c(4) + C(5)*t)
var = sigma^2
logl1 = log(@dnorm(res/@sqrt(var))) - log(var)/2
't' is time, it is time series data. yield is crop yield. The mean and variance equations are drawn from one published paper. When I give run command, the error message ups up as "missing value in @logl series at current coefficients at observation 1". I have know Idea where problem is and how to solve it. Thank you for ur suggestion.
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