st: Re: random intercept model: How To Interpret LR test ?

["Martin Weiss" <martin.weiss1@gmx.de>]

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Information about it is found in -help j_xtmixedlr-


HTH
Martin
_______________________
----- Original Message ----- 
From: "Christian Weiss" <christian.weiss@nightberry.de>
To: <statalist@hsphsun2.harvard.edu>
Sent: Sunday, May 31, 2009 9:08 PM
Subject: st: random intercept model: How To Interpret LR test ?


> Dear Statalisters,
>
>
> I estimated the following Model in Stata:
>
> xtmixed cr5 firmsize firmrisk firmrisk_sqr firmperformance regulation
> shareholderprotection || country: || industry: , variance
>
> yielding the followng results stated at the end of this Mail.
>
>
> Could you give me any advice how the LR test? ( LR test vs. linear
> regression:       chi2(2) =    56.66   Prob > chi2 = 0.0000) or where
> to find information on this?
>
> Best regards
> Christian
>
>
>
>
> Mixed-effects REML regression                   Number of obs      = 
> 1631
>
> -----------------------------------------------------------
>                |   No. of       Observations per Group
> Group Variable |   Groups    Minimum    Average    Maximum
> ----------------+------------------------------------------
>        country |       11         32      148.3        229
>       industry |       77          1       21.2        130
> -----------------------------------------------------------
>
>                                                Wald chi2(6)       = 
> 52.01
> Log restricted-likelihood = -7984.3674          Prob > chi2        = 
> 0.0000
>
> ------------------------------------------------------------------------------
>         cr5 |      Coef.   Std. Err.      z    P>|z|     [95% Conf. 
> Interval]
> -------------+----------------------------------------------------------------
>    firmsize |  -11.92074    6.35883    -1.87   0.061    -24.38381 
> .5423412
>    firmrisk |  -13.85418   4.797781    -2.89 
> 0.004    -23.25766   -4.450705
> firmrisk_sqr |   4.109892   2.060116     1.99   0.046     .0721388 
> 8.147645
> firmperfor~e |  -.6474671   .8563392    -0.76   0.450    -2.325861 
> 1.030927
>  regulation |   7.223811   4.164931     1.73   0.083    -.9393036 
> 15.38692
> shareholde~n |  -.5501527   .1691597    -3.25 
> 0.001    -.8816997   -.2186057
>       _cons |   123.6726   17.48342     7.07   0.000     89.40575 
> 157.9395
> ------------------------------------------------------------------------------
>
> ------------------------------------------------------------------------------
>  Random-effects Parameters  |   Estimate   Std. Err.     [95% Conf. 
> Interval]
> -----------------------------+------------------------------------------------
> country: Identity            |
>                  var(_cons) |   47.99412   34.40126      11.77778 
> 195.5748
> -----------------------------+------------------------------------------------
> industry: Identity           |
>                  var(_cons) |   62.90742   23.75873      30.00696 
> 131.8809
> -----------------------------+------------------------------------------------
>               var(Residual) |   1019.328   36.52924      950.1883 
> 1093.498
> ------------------------------------------------------------------------------
> LR test vs. linear regression:       chi2(2) =    56.66   Prob > chi2 = 
> 0.0000
> *
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> *   http://www.ats.ucla.edu/stat/stata/

*
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