Data Analysis Using Stata, Third Edition

Name: Data Analysis Using Stata, Third Edition
Price: 58.31 USD
Availability: InStock
ISBN: 9781597181105

ISBN-10: 1597181102

ISBN-13: 9781597181105

Edition: 3rd 2012 (Revised)

Authors: Ulrich Kohler, Frauke Kreuter

List price: $88.95

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Description:

Data Analysis Using Stata, Third Editionis a comprehensive introduction to both statistical methods and Stata. Beginners will learn the logic of data analysis and interpretation and easily become self-sufficient data analysts. Readers already familiar with Stata will find it an enjoyable resource for picking up new tips and tricks.The book is written as a self-study tutorial and organized around examples. It interactively introduces statistical techniques such as data exploration, description, and regression techniques for continuous and binary dependent variables. Step by step, readers move through the entire process of data analysis and in doing so learn the principles of Stata, data…

Book details

List price: $88.95
Edition: 3rd
Copyright year: 2012
Publisher: StataCorp LLC
Publication date: 8/20/2012
Binding: Paperback
Pages: 497
Size: 7.25" wide x 9.25" long x 1.25" tall
Weight: 2.508
Language: English



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


The Grammar of Stata


The elements of Stata commands


Repeating similar commands


Weights


General Comments on the Statistical Commands


Regular statistical commands


Estimation commands


Creating and Changing Variables


The commands generate and replace


Specialized recoding commands


Recoding string variables


Recoding date and time


Setting 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


Statistical Inference


Random samples and sampling distributions


Descriptive inference


Causal inference


Introduction to Linear Regression


Simple linear regression


Multiple regression


Regression diagnostics


Model extensions


Reporting regression results


Advanced techniques


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


Reading and Writing Data


The goal: The data matrix


Importing machine-readable data


Inputting data


Combining data


Saving and exporting data


Handling big datasets


Do-Files for Advanced Users and User-Written Programs


Two examples of usage


Four programming tools


User-written Stata commands


Around Stata


Resources and information


Taking care of Stata


Additional procedures


References


Author Index


Subject Index


Exercises appear at the end of each chapter