Short description:

An outstanding introduction to microeconometrics and how to do microeconometric research using Stata, this book covers topics often left out of microeconometrics textbooks and omitted from basic introductions to Stata. Cameron and Trivedi provide the most complete and up-to-date survey of microeconometric methods available in Stata. They begin by introducing simulation methods and then use them to illustrate features of the estimators and tests described in the rest of the book. They address each topic with an in-depth Stata example and demonstrate how to use Stata's programming features to implement methods for which Stata does not have a specific command.

Long description:

An outstanding introduction to microeconometrics and how to do microeconometric research using Stata, this book covers topics often left out of microeconometrics textbooks and omitted from basic introductions to Stata. Cameron and Trivedi provide the most complete and up-to-date survey of microeconometric methods available in Stata. They begin by introducing simulation methods and then use them to illustrate features of the estimators and tests described in the rest of the book. They address each topic with an in-depth Stata example and demonstrate how to use Stata's programming features to implement methods for which Stata does not have a specific command.

An outstanding introduction to microeconometrics and how to do microeconometric research using Stata, this book covers topics often left out of microeconometrics textbooks and omitted from basic introductions to Stata. Cameron and Trivedi provide the most complete and up-to-date survey of microeconometric methods available in Stata. They begin by introducing simulation methods and then use them to illustrate features of the estimators and tests described in the rest of the book. They address each topic with an in-depth Stata example and demonstrate how to use Stata's programming features to implement methods for which Stata does not have a specific command.

Table of Contents:

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. Glossary of Abbreviations. References.