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Brief contents
Data Analysis Using Stata, Third Edition
1 The first time
By Ulrich Kohler and
Frauke Kreuter
2 Working with do-files
3 The grammar of Stata
Publisher: Stata Press
Copyright: 2012
ISBN-13: 978-1-59718-110-5
Pages: 497; paperback
4 General comments on the statistical commands
5 Creating and changing variables
6 Creating and changing graphs
7 Describing and comparing distributions
8 Statistical inference
9 Introduction to linear regression
10 Regression models for categorical dependent variables
11 Reading and writing data
12 Do-files for advanced users and user-written programs
For more details or to order, visit us online at
13 Around Stata
What’s new in this edition
• New chapter on statistical inference
»» Random samples
»» Standard errors based on random samples and
complex samples
»» Dealing with nonresponse
»» Causal inference
• Factor-variable notation
»» Categorical predictors
»» Interaction terms
• Updated techniques for interpreting results
»» margins command for obtaining average partial
effects instead of marginal effects at the means
How to contact us
Stata Press
4905 Lakeway Drive
College Station, TX 77845-4512
800-782-8272 (USA)
800-248-8272 (Canada)
979-696-4600 (Worldwide)
[email protected]
»» marginsplot command for illustrating differences
in behavior among groups
© Copyright 2012 StataCorp LP
About the authors
Ulrich Kohler is a sociologist at the Social Science
Research Center Berlin (WZB). Dr. Kohler is an organizer
of the German Stata Users Group meetings. Frauke
Kreuter is an associate professor at the Joint Program
in Survey Methodology (JPSM) in the University of
Maryland–College Park, professor at the Statistics
Department in the Ludwig-Maximilians-University of
Munich, and currently head of the Statistical Methods
group at the Institute for Employment Research (IAB)
in Nuremberg, Germany. Both authors are associate
editors of the Stata Journal. They coauthored a German
textbook, Datenanalyse mit Stata, which was the
predecessor of this book. They used Data Analysis
Using Stata to teach several classes and short courses at
the University of Mannheim, the University of Konstanz,
the Free University of Berlin, and the University of
California–Los Angeles, among others.
The book’s audience
• New Stata users—the authors do not assume
familiarity with Stata
• Experienced Stata users who would like to learn
»» careful work habits for simple reproducible
»» a practical, efficient approach to data analysis
»» the nuts and bolts of Stata graphs
• Anyone interested in analyzing data, especially
biometricians, econometricians, psychometricians,
and other “metricians”
• Students and academic researchers in social sciences
Comment from the Stata technical group
Data Analysis Using Stata, Third Edition has been
completely revamped to reflect the capabilities of
Stata 12. This book will appeal to those just learning
statistics and Stata as well as to the many users who are
switching to Stata from other packages. Throughout
the book, Kohler and Kreuter show examples using
data from the German Socio-Economic Panel, a large
survey of households containing demographic, income,
employment, and other key information.
regression and logistic results. An entirely new chapter
discusses aspects of statistical inference, including
random samples, complex survey samples, nonresponse,
and causal inference.
Kohler and Kreuter take a hands-on approach, first
showing how to use Stata’s graphical interface and then