Applied Econometrics Using the SAS System

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.

About the Author

Vivek B. Ajmani, PhD, is Senior Marketing Analyst at U.S. Bank in St. Paul, Minnesota, where he applies econometric modeling, data mining, and predictive modeling techniques to his work with innovative banking products and solutions. Dr. Ajmani has also held positions at Ameriprise Financial, General Mills, Intel Corporation, and the 3M Company, and he has received honors for his use of statistics in the development of quality products.

Features

This handy guide is the first of its kind to teach the analysis of econometric data using the SAS® system
This supplemental text is a handy guide for researchers, students, and practitioners on the fundamentals of econometric theory and more importantly, it provides complete SAS code for analyzing data from various studies where econometric data is collected.
This text is a great supplement to some of the standard econometric texts that are currently used in academia, since the standard econometric texts rarely offer guidelines on how to analyze data using standard software.
While most students of econometrics are taught through the use of GAUSS and STATA, statisticians and econometricians in industry find that the use of SAS for the analysis of econometric data is the standard. This book better prepares students for their careers in industry, and it also is the only available guide for professionals in the field of econometrics who use SAS.
Written by a proficient SAS user, the book includes thorough coverage of econometric data analysis problems programmed in SAS as well as some limited coverage of SAS IML. SAS IML is used only when the need arises.

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