Econometrics in Panel data?

[Cameron Laird]

In article <44606dd5$0$3285$5a62ac22 at per-qv1-newsreader-01.iinet.net.au>,
DeepBlue  <123 at 321.com> wrote:
>so are you saying that Python is not an appropriate language for doing 
>econometrics stuff?
>
>
>Dennis Lee Bieber wrote:
>> On Tue, 09 May 2006 05:58:10 +0800, DeepBlue <123 at 321.com> declaimed the
>> following in comp.lang.python:
>> 
>>> Hi all,
>>>
>>> I am new to Python. Just wondering can Python able to do econometric 
>>> regression in either Time-series or pooled (panel) data? As well as test 
>>> for hetero, autocorrelation, or endogeneity?
>> 
>> 	Can you do such in FORTRAN, COBOL, SNOBOL, APL, C, Matlab, Maple,
>> Excel, Turing Machine? Most likely...
>> 
>> 	Is there a pre-built library to compute such? No idea...
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While I count on Dennis to speak for himself, I'll interrupt
and say that, yes, Python is an appropriate language for
econometrics--but not an ideal one.

There's been quite a bit of Python-based work on financial
analytics in the past.  I don't have a convenient handle on
who all has done this, and what they've done, but I'm certain
that research will yield results.  Python boasts quite a few
general advantages that make it apt for these tasks.

There is not, however, a readily-accessible library targeted
for this sort of work.  If I had the opportunity to work in
econometrics now, I'd think seriously about R, Lisp, and
Mathematica, and see what's available among the functional
languages, along with Python.