An Introduction to Stata Programming, Second Edition  book cover
2nd Edition

An Introduction to Stata Programming, Second Edition

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ISBN 9781597181501
Published December 1, 2015 by Stata Press
412 Pages

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Book Description

In this second edition of An Introduction to Stata Programming, the author introduces concepts by providing the background and importance for the topic, presents common uses and examples, then concludes with larger, more applied examples referred to as "cookbook recipes." This is a great reference for anyone who wants to learn Stata programming. For those learning, the author assumes familiarity with Stata and gradually introduces more advanced programming tools. For the more advanced Stata programmer, the book introduces Stata’s Mata programming language and optimization routines.

Table of Contents

Why should you become a Stata programmer? Some elementary concepts and tools. Do-file programming: Functions, macros, scalars, and matrices. Cookbook: Do-file programming I. Do-file programming: Validation, results, and data management. Cookbook: Do-file programming II. Do-file programming: Prefixes, loops, and lists. Cookbook: Do-file programming III. Do-file programming: Other topics. Cookbook: Do-file programming IV. Ado-file programming. Cookbook: Ado-file programming. Mata functions for do-file and ado-file programming. Cookbook: Mata function programming.

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"… Baum’s An Introduction to Stata Programming (2nd Edition) combines a concise introduction into the Stata programming environment with a large number of applications to workflow, data management and estimation. …. An Introduction to Stata Programming (2nd Edition) is a well-organized book. We find it suitable for any Stata user on an intermediate or advanced level, a user which already has some experience with Stata and who wants go deeper into programming or who wants to extend Stata’s built-in commands for estimation and data management. In particular the large number of practical examples, mostly taken from economics and finance, help the reader a lot."
—Oliver Kirchkamp and Hiltrud Niggemann in Journal of Statistical Software, April 2017