Oh! I think I should stop wasting time to learn Python to do my
econometric algorithms. >_<
[EMAIL PROTECTED] wrote:
> Cameron Laird wrote:
>> In article <[EMAIL PROTECTED]>, I counseled:
>>> 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?
>> .
>> .
>> .
>>> 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.
>
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