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Re: st: Thanks and Amazement


From   Yuval Arbel <yuval.arbel@gmail.com>
To   statalist@hsphsun2.harvard.edu
Subject   Re: st: Thanks and Amazement
Date   Wed, 23 Nov 2011 12:15:01 -0800

Dear Statalist Participants,

I personally use Stata during a period of 13 years (starting from
1997), but only recently I became a member of Statalist. I'm also
working with several other statistical packages, mainly E-views and
Matlab (rarely with SPSS) - and sometimes i like to make comparisons
among outputs of different statistical packages.

I agree with most of the things said above, but I would like to
summarize what are (at least in my opinion) the advantages and
disadvantages of Stata.

I believe that the hugh advantage of Stata is that it runs like what
you might call an open access code. From this reason  Stata is the
most wonderful statistical package particularly for academic
researchers, who look for all kinds of extraordinary new and "sexy"
toolboxes. In this field there is no match for Stata anywhere.

Just a few examples are procedures like -boxcox-,
-stcox-,-heckman-,-selmlog-,-spreg-, bootsrap, competing risk models
and unbalanced panels: I'm not familiar with any other statistical
packages who can deal with unbalanced panel and competing risk models.
In fact, finance scholars, who published the first studies on mortgage
default and prepayment while employing competing-risk model, actually
programmed the commands by themselves while using FORTRAN. The same
thing applies to spatial analysis of auto correlation.

On the other hand, I believe that Stata is not a very friendly
statistical package for beginners and fresh students with limited
needs of simple regressions. The problem is that the basic approach in
Stata is based on commands rather than windows (albeit that starting
from Stata 6 - there is also the windows options). I find E-Views to
be much more friendly in this matter. Another problem is the graph
design - which is much nicer with E-View. In fact, when I had to deal
with time-series analysis and VAR models, I preferred to work with
E-Views where the correlograms look nicer, and it was much more
convenient for me to draw the impulse-response function.

In sum,I believe that Stata is wonderful in analysing panel data,
probit and heckman and special and extraordinary procedures, but its
drawbacks lies in time-series analysis

On Wed, Nov 23, 2011 at 10:22 AM, Ronan Conroy <rconroy@rcsi.ie> wrote:
> On 2011 Samh 23, at 16:16, William Gould, StataCorp LP wrote:
>
>>        Smart people can ask stupid questions and, when they do, it is
>>        the question that is stupid, not the questioner.
>
> My wall has a Pearls Before Swine cartoon:
>
> PIG: I have a stupid question.
> RAT: There's no such thing as a stupid question. Just stupid people asking questions.
> PIG: Is that me?
> RAT: Don't be stupid.
>
>
> r
> *
> *   For searches and help try:
> *   http://www.stata.com/help.cgi?search
> *   http://www.stata.com/support/statalist/faq
> *   http://www.ats.ucla.edu/stat/stata/
>



-- 
Dr. Yuval Arbel
School of Business
Carmel Academic Center
4 Shaar Palmer Street, Haifa, Israel
e-mail: yuval.arbel@gmail.com

*
*   For searches and help try:
*   http://www.stata.com/help.cgi?search
*   http://www.stata.com/support/statalist/faq
*   http://www.ats.ucla.edu/stat/stata/


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