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Re: AW: st: panel-specific autocorrelation with unbalanced panels


From   Marck Bulter <[email protected]>
To   [email protected]
Subject   Re: AW: st: panel-specific autocorrelation with unbalanced panels
Date   Tue, 11 Dec 2007 14:58:52 +0100

Jessica �lschl�ger wrote:
Delia and Nicola,

thank you very much for your suggestions. I've already had tried both but I don't see how to test for panel-specific
autocorrelation with xtserial or abar.
It may be done with xttest1 but this works for balanced panels only.

Jessica
----------------------------------------------------------------
Dipl. oec. Jessica �lschl�ger
Forschungsstelle Europ�ische Integration
Universit�t Hohenheim

-----Urspr�ngliche Nachricht-----
Von: [email protected]
[mailto:[email protected]] Im Auftrag von Delia Ionascu
Gesendet: Montag, 10. Dezember 2007 20:00
An: [email protected]
Betreff: Re: st: panel-specific autocorrelation with unbalanced panels

Another option is to use abar (you could download it from http://ideas.repec.org/c/boc/bocode/s437501.html)

abar performs the Arellano-Bond (1991) test for autocorrelation. abar runs after regress, ivreg, ivreg2, and ivreg2, gmm; also after newey and newey2

Delia


----- Original Message -----
From: [email protected]
Date: Monday, December 10, 2007 6:51 pm
Subject: Re: st: panel-specific autocorrelation with unbalanced panels
To: [email protected]
Cc: [email protected]


Does -xtserial- from sj3-2 help?
Nicola
At 02.33 08/12/2007 -0500, =?iso-8859-1?Q?Jessica_=D6lschl=E4ger?= wrote:>Dear Statalisters,

I want to test for panel-sepcific autocorrelation in my panel
data set.

Unfortunately xttest1 doesn?t work as my data is unbalanced.
Is there a way to fix this problem in Stata?

Any comments would be greatly appreciated.

Jessica
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Dear Jessica,

If you regress each cross-section i using,

forvalues i=1/108 {
display "Regress pstrmon for CUSIP" `i'
quietly ivreg pstrmon price mat age coup pstrmonprev pstrprev intr ivol compl (precmon = precmonprev) if cusip == `i'
estimates store model `i'
more
}

Then you should be able to test for autocor. etc, just like a normal time series regression for each i. Although you should change the estimate line a bit, but you get picture. Give it a try.

regards,
Marck Bulter




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