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@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
Dublin 2
Ireland
www.tcd.ie/Economics/staff/frainj/home.html
mailto:frainj@tcd.ie
mailto:frainj@gmail.com

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