Data Analysis Using Stata

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.

Table of Contents:
Preface ABOUT THE BOOK Structure Using This book: Materials and hints Teaching with this manual "THE FIRST TIME" Starting Stata Setting up your screen Your first analysis Do-files Exiting Stata WORKING WITH DO-FILES From interactive work to working with a do-file Designing do-files Organizing your work Summary THE GRAMMAR OF STATA The elements of Stata commands Repeating similar commands Weights SOME GENERAL COMMENTS ON THE STATISTICAL COMMANDS CREATING AND CHANGING VARIABLES The commands generate and replace Specialized recoding commands Additional tools for recording data Commands for dealing with missing values Labels Storage types, or, the ghost in the machine CREATING AND CHANGING GRAPHS A primer on graph syntax Graph types Graph elements Multiple graphs Saving and printing graphs DESCRIBING AND COMPARING DISTRIBUTIONS Categories: Few or many? Variables with few categories Variables with many categories Summary INTRODUCTION TO LINEAR REGRESSION Simple linear regression Multiple regression Regression diagnostics Model extensions More on standard errors Advanced techniques Summary REGRESSION MODELS FOR CATEGORICAL DEPENDENT VARIABLES The linear probability model Basic concepts Logistic regression with Stata Logistic regression diagnostics Likelihood-ratio test Refined models Advanced techniques Summary READING AND WRITING DATA The goal: The data matrix Importing machine-readable data Inputting data Combining data Saving and exporting data Handling big datasets Summary DO-FILES FOR ADVANCED USERS AND USER-WRITTEN PROGRAMS Two examples of usage Four programming tools User-written Stata commands Summary AROUND STATA Resources and information Taking care of Stata Additional procedures References Author Index Subject Index