by Colin
Cameron and Pravin K. Trivedi
Microeconometrics Using Stata, by A. Colin Cameron and
Pravin K. Trivedi, is an outstanding introduction to microeconometrics and how
to do microeconometric research using Stata. Aimed at students and researchers,
this book covers topics 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.
Early in the book, Cameron and Trivedi introduce simulation methods and then
use them to illustrate features of the estimators and tests described in the
rest of the book. While simulation methods are important tools for
econometricians, they are not covered in standard textbooks. By introducing
simulation methods, the authors arm students and researchers with techniques
they can use in future work. Cameron and Trivedi address each topic with an
in-depth Stata example, and they reference their 2005 textbook,
Microeconometrics: Methods and Applications, where appropriate. The authors
also show how to use Stata’s programming features to implement methods for
which Stata does not have a specific command. Although the book is not
specifically about Stata programming, it does show how to solve many
programming problems. These techniques are essential in applied
microeconometrics because there will always be new, specialized methods beyond
what has already been incorporated into a software package. Cameron and
Trivedi’s choice of topics perfectly reflects the current practice of modern
microeconometrics. After introducing the reader to Stata, the authors introduce
linear regression, simulation, and generalized least-squares methods. The
section on cross-sectional techniques is thorough, with up-to-date treatments
of instrumental-variables methods for linear models and of quantile-regression
methods.