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Re: st: xtwest command


From   Syed Basher <[email protected]>
To   [email protected]
Subject   Re: st: xtwest command
Date   Sat, 26 Mar 2011 05:38:41 -0700 (PDT)

Hi,

Since you're using -xtwest- you can consider using the robust p-value option 
which controls for cross section dependency. The details can be found in the 
helpfile.

Syed Basher
Doha, Qatar



----- Original Message ----
From: Markus Eberhardt <[email protected]>
To: [email protected]
Sent: Sat, March 26, 2011 12:58:43 PM
Subject: Re: st: xtwest command

Check the helpfile. It spells out the underlying model and how to
interpret the results. The short answer is that no cointegration
cannot be rejected, whether you assume a homogeneous or heterogeneous
model. Note that this type of error correction/cointegration test
struggles when T is short.

Markus Eberhardt
ESRC Post-doctoral Research Fellow, Centre for the Study of African
Economies, Department of Economics, University of Oxford
Stipendiary Lecturer, St Catherine's College, Oxford

web: http://sites.google.com/site/medevecon/home
email: [email protected]
twitter: http://twitter.com/sjoh2052
mail: Centre for the Study of African Economies, Department of
Economics, Manor Rd, Oxford OX1 3UQ, England




On 26 March 2011 09:49, [email protected]
<[email protected]> wrote:
> Dear All,
>               I'm working with a panel dataset. Could anyone help me in
> interpreting the four
> statistics that Stata give after the xtwest command (Westerlund ECM panel
> cointegration tests)?
> Here, there my results:
>
>
> Results for H0: no cointegration
> With 20 series and 1 covariate
>
> -----------------------------------------------+
> Statistic |   Value   |  Z-value  |  P-value  |
> -----------+-----------+-----------+-----------|
>     Gt    |   -1.479  |    4.884  |   1.000   |
>     Ga    |  -12.464  |   -0.380  |   0.352   |
>     Pt    |   -5.922  |    4.108  |   1.000   |
>     Pa    |  -10.268  |   -0.984  |   0.163   |
> -----------------------------------------------+
>
> How I should consider the Gt, Ga, Pt and Pa statistics?
>
> Best Regards,
> *
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>

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