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st: RE: Hetero and AR1
> -----Original Message-----
> From: email@example.com
> [mailto:firstname.lastname@example.org] On Behalf Of
> Matthieu Boussichas
> Sent: 04 April 2006 18:17
> To: email@example.com
> Subject: st: Hetero and AR1
> Hi everybody,
> i would like to make a estimation with panel data
> (unbalanced), with heteroskedasticity and autocorelation.
> Should i use xtgls, xtregar, prais, prais with corc, or other
> ... ?
You can add xtreg with cluster to the list (to make it robust to
arbitrary autocorrelation), and xtivreg2 with bw (to use kernel-based
robust SEs, a la "Newey-West").
> What is the best ?
Here you have to decide. If there was a "best", we'd all use it and
never use anything else! One obvious trade-off is efficiency vs.
robustness: the more structure you add (e.g., form of autocorrelation),
the more efficient (precise) your estimates, but the less robust they
are to violations of your assumptions. But there are many other
considerations ... hence the wide range of choice you have.
> boussichas matthieu
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