Data Analysis Using Stata, Second Edition

by Ulrich Kohler

Data Analysis Using Stata provides a comprehensive introduction to Stata with an emphasis on data management, linear regression, logistic modeling, and using programs to automate repetitive tasks. Throughout the book, the authors make extensive use of examples using data from the German Socioeconomic Panel, a large survey of households containing demographic, income, employment, and other key information. The book begins with an introduction to the Stata interface and then proceeds with a discussion of Stata syntax and simple programming tools like foreach loops. The core of the book includes chapters on producing tables and graphs, performing linear regression, and using logistic regression. The remainder of the book includes chapters on reading text files, writing programs and ado-files, and Internet resources, such as the search command and the SSC archive. All key concepts are illustrated with multiple examples. Data Analysis Using Stata will serve as a valuable introduction to Stata, both for those who are new to statistics and statistical computing as well as for those new to Stata but familiar with other programs.

388 pages, Kindle Edition

First published December 6, 2000

Reviews

[Stephen Cranney · Rating 4 out of 5]

A very basic overview. Worth going through for people who are either new at Stata or self-taught Stata users that have never actually sat down and gone through all the major functions that Stata has.

[Gift · Rating 4 out of 5]

Hmm es ist immer schwer solche Art von Büchern zu bewerten. Ja, ich habe es nur deswegen gelesen, weil ich keine andere Chance hatte. Meine Gehirnzellen sind nämlich nicht unbedingt auf Statistik einprogrammiert. Hat es mir geholfen? Unbedingt. Es hat zwar nicht auf alle meine Fragen eine Antwort geliefert, aber im Großen und Ganzen war es hilfreich.
Jetzt kann ich nur hoffen, dass ich es in der Zukunft nie wieder lesen muss.

[Matt Jans]

Great Stata book! A must for beginners. Has a lot of good tips about how to do analysis, but also coding efficiency.

[Abrar · Rating 4 out of 5]

It was a good statistical analyses book, it focused on the technical and statistical analysis approaches for continuous, nominal and ordinal variables.