
Microeconometrics Using Stata
Revised Edition
Stata Press
2nd Edition
Published on 9. March 2010
Book
Paperback/Softback
706 pages
978-1-59718-073-3 (ISBN)
Description
A complete and up-to-date survey of microeconometric methods available in Stata, Microeconometrics Using Stata, Revised Edition is an outstanding introduction to microeconometrics and how to execute microeconometric research using Stata. It covers topics left out of most microeconometrics textbooks and omitted from basic introductions to Stata.
This revised edition has been updated to reflect the new features available in Stata 11 that are useful to microeconomists. Instead of using mfx and the user-written margeff commands, the authors employ the new margins command, emphasizing both marginal effects at the means and average marginal effects. They also replace the xi command with factor variables, which allow you to specify indicator variables and interaction effects. Along with several new examples, this edition presents the new gmm command for generalized method of moments and nonlinear instrumental-variables estimation. In addition, the chapter on maximum likelihood estimation incorporates enhancements made to ml in Stata 11.
Throughout the book, the authors use simulation methods to illustrate features of the estimators and tests described and provide an in-depth Stata example for each topic discussed. They also show how to use Stata's programming features to implement methods for which Stata does not have a specific command. The unique combination of topics, intuitive introductions to methods, and detailed illustrations of Stata examples make this book an invaluable, hands-on addition to the library of anyone who uses microeconometric methods.
This revised edition has been updated to reflect the new features available in Stata 11 that are useful to microeconomists. Instead of using mfx and the user-written margeff commands, the authors employ the new margins command, emphasizing both marginal effects at the means and average marginal effects. They also replace the xi command with factor variables, which allow you to specify indicator variables and interaction effects. Along with several new examples, this edition presents the new gmm command for generalized method of moments and nonlinear instrumental-variables estimation. In addition, the chapter on maximum likelihood estimation incorporates enhancements made to ml in Stata 11.
Throughout the book, the authors use simulation methods to illustrate features of the estimators and tests described and provide an in-depth Stata example for each topic discussed. They also show how to use Stata's programming features to implement methods for which Stata does not have a specific command. The unique combination of topics, intuitive introductions to methods, and detailed illustrations of Stata examples make this book an invaluable, hands-on addition to the library of anyone who uses microeconometric methods.
More details
Edition
2nd edition
Language
English
Place of publication
College Station
United States
Target group
College/higher education
Statisticians.
Product notice
Paperback (UK-B)
Dimensions
Height: 246 mm
Width: 189 mm
Weight
1474 gr
ISBN-13
978-1-59718-073-3 (9781597180733)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition

A. Colin Cameron | Pravin K. Trivedi
Microeconometrics Using Stata
Book
12/2008
1st Edition
Stata Press
€90.55
Article exhausted; check for reprint
Persons
University of California, California, USA Indiana University, Bloomington, Indiana, USA
Author
University of California, Davis, California, USA
University of Aarhus, Denmark
Content
Stata Basics. Data Management and Graphics. Linear Regression Basics. Simulation. GLS Regression. Linear Instrumental-Variables Regression. Quantile Regression. Linear Panel-Data Models: Basics. Linear Panel-Data Models: Extensions. Nonlinear Regression Methods. Nonlinear Optimization Methods. Testing Methods. Bootstrap Methods. Binary Outcome Models. Multinomial Models. Tobit and Selection Models. Count-Data Models. Nonlinear Panel Models. Appendices. Glossary. References. Indices.