Applied Econometrics Using the SAS System (ePub)

The first cutting-edge guide to using the SAS® system for the
analysis of econometric data

Applied Econometrics Using the SAS® System is the
first book of its kind to treat the analysis of basic econometric
data using SAS®, one of the most commonly used software tools
among today's statisticians in business and industry. This book
thoroughly examines econometric methods and discusses how data
collected in economic studies can easily be analyzed using the
SAS® system.

In addition to addressing the computational aspects of
econometric data analysis, the author provides a statistical
foundation by introducing the underlying theory behind each method
before delving into the related SAS® routines. The book begins
with a basic introduction to econometrics and the relationship
between classical regression analysis models and econometric
models. Subsequent chapters balance essential concepts with
SAS® tools and cover key topics such as:

* Regression analysis using Proc IML and Proc Reg

* Hypothesis testing

* Instrumental variables analysis, with a discussion of
measurement errors, the assumptions incorporated into the analysis,
and specification tests

* Heteroscedasticity, including GLS and FGLS estimation,
group-wise heteroscedasticity, and GARCH models

* Panel data analysis

* Discrete choice models, along with coverage of binary choice
models and Poisson regression

* Duration analysis models

Assuming only a working knowledge of SAS®, this book is a
one-stop reference for using the software to analyze econometric
data. Additional features include complete SAS® code, Proc IML
routines plus a tutorial on Proc IML, and an appendix with
additional programs and data sets. Applied Econometrics Using
the SAS® System serves as a relevant and valuable
reference for practitioners in the fields of business, economics,
and finance. In addition, most students of econometrics are taught
using GAUSS and STATA, yet SAS® is the standard in the working
world; therefore, this book is an ideal supplement for
upper-undergraduate and graduate courses in statistics, economics,
and other social sciences since it prepares readers for real-world
careers.