StataProg Plan
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1 Course: Advanced Stata programming and introductory Mata Date: September 3‐4 2012 Lecturer: Dr. Ulrich Kohler (http://www.wzb.eu/bal/usi/leute/kohler.en.htm ) Social Science Research Center Berlin Site: Institute of Economics, University of Copenhagen Contact: Søren Leth‐Petersen Seats: 35 , allocated on a first come, first served basis ECTS: 1 point (PhD students) Application: Registration deadline is August 1 st 2012, by e‐mail to Christel Brink Hansen ([email protected] ) Arranged and funded by the Danish Microeconometric Network. The Danish Microeconometric Network invites you to a two‐day Stata‐programming course. It will be given by Dr. Ulrich Kohler, Social Science Research Center Berlin and co‐editor of Stata Journal. The first day covers advanced do‐file and ado‐file programming. Second day introduces Mata. A program‐outline is found on the next page of this invitation. IMPORTANT: This course is a repetition of the Stata course arranged by the Microeconometric Network in June 2011. Prerequirements: Own labtop‐computer with Stata installed on it. Participants should be familiar with Stata. They should know how to start a do‐file from the command‐line. Morover, command of the data manipulation tools ‐generate‐ and ‐replace‐, basic data‐analysis tools such as ‐tabulate‐, ‐summarize‐, and ‐regress‐, and some experiences with ‐ graph‐ are necessary prerequisites. A course web‐page will be available before course start. Participants are expected to download material from this site prior to the course.
Transcript of StataProg Plan
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Course:AdvancedStataprogrammingandintroductoryMataDate: September 3‐4 2012
Lecturer: Dr. Ulrich Kohler (http://www.wzb.eu/bal/usi/leute/kohler.en.htm) Social Science Research Center Berlin
Site: Institute of Economics, University of Copenhagen
Contact: Søren Leth‐Petersen
Seats: 35 , allocated on a first come, first served basis
ECTS: 1 point (PhD students)
Application: Registration deadline is August 1st 2012, by e‐mail to Christel Brink Hansen
Arranged and funded by the Danish Microeconometric Network.
The Danish Microeconometric Network invites you to a two‐day Stata‐programming course. It will be
given by Dr. Ulrich Kohler, Social Science Research Center Berlin and co‐editor of Stata Journal.
The first day covers advanced do‐file and ado‐file programming. Second day introduces Mata.
A program‐outline is found on the next page of this invitation.
IMPORTANT: This course is a repetition of the Stata course arranged by the Microeconometric
Network in June 2011.
Prerequirements:
Own labtop‐computer with Stata installed on it.
Participants should be familiar with Stata. They should know how to start a do‐file from the
command‐line. Morover, command of the data manipulation tools ‐generate‐ and ‐replace‐, basic
data‐analysis tools such as ‐tabulate‐, ‐summarize‐, and ‐regress‐, and some experiences with ‐
graph‐ are necessary prerequisites.
A course web‐page will be available before course start. Participants are expected to download
material from this site prior to the course.
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Program:
Day 1.
Advanced Stata Programming
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The course covers two types of Stata programming: do‐file programming and ado‐file programming.
It starts by presenting programming tools such as local macros, extended macro functions, inline
macro expansion, loops, and branches and gives examples for their use in everyday data analysis.
The second part of the course explains the nuts and bolds of defining a "program" in Stata. Finally
the course provides a step‐by‐step tutorial for implementing a user‐written command into Stata
("Ado‐Files").
Participants should be already familiar Stata. They should know how to start a do‐file from the
command‐line. Morover, command of the data manipulation tools ‐generate‐ and ‐replace‐, basic
data‐analysis tools such as ‐tabulate‐, ‐summarize‐, and ‐regress‐, and some experiences with ‐
graph‐ are absolutely necessary prerequisites.
Day 2
Introduction to Mata programming
‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐‐
Mata is a full‐fledged programming language that operates in the Stata environment. The mata
language is primarily designed to manipulate matrizes, which makes it particualrly usefull for
programming statistical methods. The course introduces basic concepts of the language and
discusses ways to interact between Stata and Mata. The course shows examples for definition of
functions in Mata and provides a step‐by‐step tutorial for implementing a user‐written Stata
command with Mata.
Participants should be already familiar Stata. Participants of the first course are well prepared for
participating in this course.
