To me the term pooled refers to a type of model. For example in a
fixed effects model is equivalent to having a distinct model for each
level of the factor that determines the panel. Pooled OLS corresponds
to pooling the data set over all levels of the factor and estimating a
single OLS (assuming that the fixed effects are constant over all
levels of the factor. With a multilevel model pooling corresponds to
collapsing some levels of the model to get a pooled model. When some
individuals leave the panel and others join I would call this an
unbalanced panel.
Best Regards
John
On 12 July 2011 13:26, Allin Cottrell <cottrell(a)wfu.edu> wrote:
On Tue, 12 Jul 2011, Anutechia Asongu wrote:
> Could someone remind me the difference between pooled and panel
> data.
> Cheers and thanks
Panel data are data that track measures on a given, fixed set of
"individuals" over time. The phrase "pooled data" is more general:
it
implies that the data have both a time-series and a cross-sectional
dimension, but it includes the case where the individuals are not a fixed
set -- e.g. some individuals drop out over time and are replaced by others.
At least that's how I read it.
Allin Cottrell
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John C Frain
Economics Department
Trinity College Dublin
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