Just released – An Introduction to Stata Programming, Second Edition.
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What Stata has to say about the new edition.
Christopher F. Baum's An Introduction to Stata Programming, Second Edition, is a great reference for anyone that wants to learn Stata programming. For those learning, Baum 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.
Baum introduces concepts by providing the background and importance for the topic, presents common uses and examples, and then concludes with larger, more applied examples he refers to as "cookbook recipes". Many of the examples in the book are of particular interest because they arose from frequently asked questions from Stata users.
What's new:
- Updated syntax and output
- Examples and discussions incorporating factor variables and operators
- Examples and discussions about computation of marginal effects, marginal means, and predictive margins using margins
- Examples using gmm to implement generalized method of moments estimation
- Examples using suest for seemingly unrelated estimation
- Mata-based likelihood function evaluators
- Commonly used Mata associative arrays