Riassunto:
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.
Contenuti:
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
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