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From |
"Austin Nichols" <austinnichols@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: programming with stata |

Date |
Sun, 4 May 2008 14:43:17 -0400 |

Tunga Kantarci <tungakantarci@hotmail.com>: The advantage of having a critical mass of colleagues who use the same program you do is that you can share code more easily, which is a great boon. If you are at Tilburg University, you may be sufficiently near the esteemed Maarten Buis at Vrije Universiteit Amsterdam and Ben Jann at Eidgenössische Technische Hochschule Zürich to run into them at seminars etc. and consider them colleagues as well, even if they happen to work in a merely closely related field! Of course, the user community for Stata is not limited by geographic proximity, or lack thereof, thanks in no small part to Statalist and SSC. When Maarten talks about "making a command" he means writing an ado file (automatically loaded program) that others can use as easily as you can, with the syntax parallel to official Stata commands. For example, if you wanted to program a new generalized autoregressive conditional heteroskedasticity estimator for panel data, you could work entirely in a matrix language (e.g. Mata) or C++ or what have you, or you could write an ado file that would call the estimator (implemented in Mata, say). So you might write xtgarch.ado and have a bunch of Mata code in that file that did all the calculations. The easiest way to get started is probably by reading the code for some simple existing commands, and working up to more complicated examples. See e.g. ssc install qll which qll view "`r(adofile)'" for a nice example with some Matlab code appended, or ssc install ivpois which ivpois view "`r(adofile)'" for a GMM estimator. If you write a help file as well, and post it on SSC, there is always the chance that someone will download it and give you useful feedback as well... see http://repec.org/bocode/s/sscsubmit.html for details. On Sun, May 4, 2008 at 2:12 PM, Tunga Kantarci <tungakantarci@hotmail.com> wrote: > No program is dominating another in my econometrics department: form R to > Matlab, > from stata to gauss. And nobody is aware of Mata. > But I also don't see why I should choose what others choose. > One is alone in learning the language anyway. > If combining mata with higher level language of stata is very valuable, why > should I follow what others do. > > Could you make your following statement more explicit: > > "it is very easy to make a command that is indistinguishable from a standard > Stata command" > In terms of writing a complete time series model, for instance, what would > "making a command" mean? > > Thanks for your concern in answering my question... > But I think I should figure the answer out myself. > Because I just don't know what I will be missing by using mata and not ox. * * For searches and help try: * http://www.stata.com/support/faqs/res/findit.html * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

**References**:**Re: st: programming with stata***From:*"Tunga Kantarci" <tungakantarci@hotmail.com>

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