Interpreting Log Likelihood

For econometric discussions not necessarily related to EViews.

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Jedrek
Posts: 5
Joined: Fri Jun 24, 2011 6:06 am

Interpreting Log Likelihood

Postby Jedrek » Sun Aug 14, 2011 2:28 am

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!.

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

Re: Interpreting Log Likelihood

Postby startz » Sun Aug 14, 2011 7:15 am

The log likelihood is used for comparing two models. A single value has no meaning.

Jedrek
Posts: 5
Joined: Fri Jun 24, 2011 6:06 am

Re: Interpreting Log Likelihood

Postby Jedrek » Mon Aug 15, 2011 6:58 am

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.

EViews Gareth
Fe ddaethom, fe welon, fe amcangyfrifon
Posts: 13604
Joined: Tue Sep 16, 2008 5:38 pm

Re: Interpreting Log Likelihood

Postby EViews Gareth » Mon Aug 15, 2011 7:49 am

The log likelihood is used for comparing two models. A single value has no meaning.

Jedrek
Posts: 5
Joined: Fri Jun 24, 2011 6:06 am

Re: Interpreting Log Likelihood

Postby Jedrek » Mon Aug 15, 2011 8:04 am

Thanks Gareth,

sorry for the misunderstanding there. I know now what to do.

Thanks Gareth and Startz!

Mahadeb
Posts: 1
Joined: Mon Nov 21, 2011 9:09 am

Re: Interpreting Log Likelihood

Postby Mahadeb » Mon Nov 21, 2011 9:46 am

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.


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