In article <[EMAIL PROTECTED]>,
DeepBlue <[EMAIL PROTECTED]> 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 <[EMAIL PROTECTED]> 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.
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