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Re: st: re: Re: Panel data and lagged dep variable

From   Clive Nicholas <>
Subject   Re: st: re: Re: Panel data and lagged dep variable
Date   Sat, 25 Sep 2010 21:34:50 +0100

Kit Baum replied to Pan Wang:

> If there are significant time-specific common factors (e.g., business cycle factors) appearing in the response variable,
> then by omitting time dummies you are misspecifying the model, and estimates of any coefficients (including
> the coefficient of the LDV) are likely to be biased and inconsistent. Include the dummies, do an F-test for their
> joint significance, and if you don't need them, out they go. But determining whether a static or dynamic model
> is needed should be performed in the context of a well-specified model.

Absolutely right, of course. But frequently I find myself estimating
unbalanced pooled-panel models with singleton unit dummies, which
naturally drop out of the model. Consequently, I have to circumvent
this issue by demeaning the explanatory variables within units and
then re-estimating. But, as you'll know, that typically comes at the
cost of reduce the reducing the amount of variation in the response
variable my model would have had a chance of explaining. Your answer
to this might be: "Then collect more data". But, as you'll also know,
that's not always possible.

Clive Nicholas

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"My colleagues in the social sciences talk a great deal about
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