Econometrics in Panel data?

[N/A]

Oh! I think I should stop wasting time to learn Python to do my 
econometric algorithms. >_<


beliavsky at aol.com wrote:
> Cameron Laird wrote:
>> In article <mub6j3-sne.ln1 at lairds.us>, I counseled:
>>> 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?
>> 			.
>> 			.
>> 			.
>>> 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.
>> Smalltalk, too; I'd throw it in the mix.  Much serious econometrics
>> has been done with Fortran, but I have no enthusiasm for pursuing
>> that direction, mostly because I think too much of the computing
>> world is going in a different one.
> 
> There are many statistics packages and programming languages used in
> econometrics and in general, so most of the computing world is going in
> a different
> "direction", no matter which package or language you choose.
> 
> Enough programmers still use Fortran that major hardware vendors such
> as Intel, IBM, and Sun are actively maintaining their Fortran 95
> compilers and adding features from Fortran 2003. G95 is free, available
> almost everywhere that gcc is, and good enough for production use IMO.
> 
> The recent book
> http://methcenter.psu.edu/newbooks/fortranbook/thebook.html
> Developing Statistical Software in Fortran 95
> by David R. Lemmon and Joseph L. Schafer
> Spriger (2005)
> 
> discusses how to build statistical software components in Fortran that
> can be used in statistical packages.
> 
> The IMSL and NAG software libraries have extensive statistical
> functionality and are available in Fortran, among other languages.
> 
> It is important for a programming language used for econometrics to
> conveniently handle multidimensional arrays, and here Fortran outshines
> C, C++, and Java (NumPy is good, though).
> 
> I am a quantitative financial analyst who implements econometrics
> algorithms. Data sets are getting bigger -- use of intraday data is now
> common -- and the CPU time for many algorithms scales as the N^2 or
> N^3, where N is the number of observations. Speed still matters.
>