Applied Econometrics Using the SAS(R) System
Ajmani, Vivek
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Add to basketSold by HPB-Red, Dallas, TX, U.S.A.
AbeBooks Seller since March 11, 2019
Condition: Used - Good
Quantity: 1 available
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Applied Econometrics Using the SASŪ System is the first book of its kind to treat the analysis of basic econometric data using SASŪ, 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 SASŪ 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 SASŪ 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 SASŪ 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 SASŪ, this book is a one-stop reference for using the software to analyze econometric data. Additional features include complete SASŪ code, Proc IML routines plus a tutorial on Proc IML, and an appendix with additional programs and data sets. Applied Econometrics Using the SASŪ 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 SASŪ 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.
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