Actually I am estimating a linearized Almost Ideal Demand System
within a two-level budgeting framework.
My explanatory variables are
-log prices of commodities in the system,
-log of reel total expenditure for these commodities,
- city and time fixed effects,
- some demographical variables,
- and a few demand shifter.
Thanks.
Ekrem
2009/12/21 Martin Weiss <[email protected]>:
>
> <>
>
>
>
> What kind of covariates have you included in these models? Over 500 (540/605
> to be precise)?
>
>
>
> HTH
> Martin
>
>
> -----Ursprüngliche Nachricht-----
> Von: [email protected]
> [mailto:[email protected]] Im Auftrag von Ekrem Kalkan
> Gesendet: Montag, 21. Dezember 2009 16:23
> An: [email protected]
> Betreff: st: Negative LR test statistic ?
>
> Dear Stata users,
>
> I estimate restricted and unrestricted 3SLS models. I compare these
> models with LR test. However, the loglikelihood value of the
> restricted model is higher than that of the unrestricted model. To my
> knowledge, this is not expected in econometric theory. As the result,
> LR-statistics becomes a negative value. Please see my results below.
> Can you please comment on this? Thank you.
>
> . lrtest rSLS3_85 uSLS3_85, stats
>
> Likelihood-ratio test
> LR chi2(65) = -1311.29
> (Assumption: rSLS3_85 nested in uSLS3_85) Prob > chi2 =
> 1.0000
>
> ----------------------------------------------------------------------------
> -
> Model | Obs ll(null) ll(model) df AIC
> BIC
> -------------+--------------------------------------------------------------
> -
> rSLS3_85 | 864 . 34853.08 541 -68624.17
> -66048.16
> uSLS3_85 | 864 . 34197.44 606 -67182.87
> -64297.36
>
>
> Ekrem Kalkan
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