Applied Econometrics Using The Sas System

Author : Vivek Ajmani
Publisher : John Wiley & Sons
ISBN 13 : 1118210328
Total Pages : 414 pages
Book Rating : 4.21/5 ( download)

DOWNLOAD NOW!

Download or read book Applied Econometrics Using the SAS System written by Vivek Ajmani and published by John Wiley & Sons. This book was released on 2011-09-20 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Author : Barry K. Goodwin
Publisher : SAS Institute
ISBN 13 : 1635260507
Total Pages : 180 pages
Book Rating : 4.02/5 ( download)

DOWNLOAD NOW!

Download or read book Applied Econometrics with SAS written by Barry K. Goodwin and published by SAS Institute. This book was released on 2018-04-04 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: Using Applied Econometrics with SAS: Modeling Demand, Supply, and Risk, you will quickly master SAS applications for implementing and estimating standard models in the field of econometrics. This guide introduces you to the major theories underpinning applied demand and production economics. For each of its three main topics—demand, supply, and risk—a concise theoretical orientation leads directly into consideration of specific economic models and econometric techniques, collectively covering the following: Double-log demand systems Linear expenditure systems Almost ideal demand systems Rotterdam models Random parameters logit demand models Frequency-severity models Compound distribution models Cobb-Douglas production functions Translogarithmic cost functions Generalized Leontief cost functions Density estimation techniques Copula models SAS procedures that facilitate estimation of demand, supply, and risk models include the following, among others: PROC MODEL PROC COPULA PROC SEVERITY PROC KDE PROC LOGISTIC PROC HPCDM PROC IML PROC REG PROC COUNTREG PROC QLIM An empirical example, SAS programming code, and a complete data set accompany each econometric model, empowering you to practice these techniques while reading. Examples are drawn from both major scholarly studies and business applications so that professors, graduate students, government economic researchers, agricultural analysts, actuaries, and underwriters, among others, will immediately benefit. This book is part of the SAS Press program.

Author : Anton Bekkerman
Publisher : Wiley-Blackwell
ISBN 13 : 9781118902639
Total Pages : 416 pages
Book Rating : 4.37/5 ( download)

DOWNLOAD NOW!

Download or read book Foundations of Econometrics Using SAS/R Simulations and Examples written by Anton Bekkerman and published by Wiley-Blackwell. This book was released on 2017-07-10 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Author : Tim Rey
Publisher : SAS Institute
ISBN 13 : 1629597996
Total Pages : 512 pages
Book Rating : 4.97/5 ( download)

DOWNLOAD NOW!

Download or read book Applied Data Mining for Forecasting Using SAS written by Tim Rey and published by SAS Institute. This book was released on 2012-07-31 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Data Mining for Forecasting Using SAS, by Tim Rey, Arthur Kordon, and Chip Wells, introduces and describes approaches for mining large time series data sets. Written for forecasting practitioners, engineers, statisticians, and economists, the book details how to select useful candidate input variables for time series regression models in environments when the number of candidates is large, and identifies the correlation structure between selected candidate inputs and the forecast variable.

Author : Chung-ki Min
Publisher : Routledge
ISBN 13 : 0429656505
Total Pages : 242 pages
Book Rating : 4.07/5 ( download)

DOWNLOAD NOW!

Download or read book Applied Econometrics written by Chung-ki Min and published by Routledge. This book was released on 2019-03-08 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Econometrics: A Practical Guide is an extremely user-friendly and application-focused book on econometrics. Unlike many econometrics textbooks which are heavily theoretical on abstractions, this book is perfect for beginners and promises simplicity and practicality to the understanding of econometric models. Written in an easy-to-read manner, the book begins with hypothesis testing and moves forth to simple and multiple regression models. It also includes advanced topics: Endogeneity and Two-stage Least Squares Simultaneous Equations Models Panel Data Models Qualitative and Limited Dependent Variable Models Vector Autoregressive (VAR) Models Autocorrelation and ARCH/GARCH Models Unit Root and Cointegration The book also illustrates the use of computer software (EViews, SAS and R) for economic estimating and modeling. Its practical applications make the book an instrumental, go-to guide for solid foundation in the fundamentals of econometrics. In addition, this book includes excerpts from relevant articles published in top-tier academic journals. This integration of published articles helps the readers to understand how econometric models are applied to real-world use cases.

Author : Christian Kleiber
Publisher : Springer Science & Business Media
ISBN 13 : 0387773185
Total Pages : 229 pages
Book Rating : 4.86/5 ( download)

DOWNLOAD NOW!

Download or read book Applied Econometrics with R written by Christian Kleiber and published by Springer Science & Business Media. This book was released on 2008-12-10 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: R is a language and environment for data analysis and graphics. It may be considered an implementation of S, an award-winning language initially - veloped at Bell Laboratories since the late 1970s. The R project was initiated by Robert Gentleman and Ross Ihaka at the University of Auckland, New Zealand, in the early 1990s, and has been developed by an international team since mid-1997. Historically, econometricians have favored other computing environments, some of which have fallen by the wayside, and also a variety of packages with canned routines. We believe that R has great potential in econometrics, both for research and for teaching. There are at least three reasons for this: (1) R is mostly platform independent and runs on Microsoft Windows, the Mac family of operating systems, and various ?avors of Unix/Linux, and also on some more exotic platforms. (2) R is free software that can be downloaded and installed at no cost from a family of mirror sites around the globe, the Comprehensive R Archive Network (CRAN); hence students can easily install it on their own machines. (3) R is open-source software, so that the full source code is available and can be inspected to understand what it really does, learn from it, and modify and extend it. We also like to think that platform independence and the open-source philosophy make R an ideal environment for reproducible econometric research.

Author : Badi H. Baltagi
Publisher : Springer Science & Business Media
ISBN 13 : 3662099454
Total Pages : 329 pages
Book Rating : 4.52/5 ( download)

DOWNLOAD NOW!

Download or read book Solutions Manual for Econometrics written by Badi H. Baltagi and published by Springer Science & Business Media. This book was released on 2013-03-14 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: This manual provides solutions to selected exercises from each chapter of Econometrics by Badi H. Baltagi starting with Chapter 2. For the empirical exercises some SAS® programs are provided to replicate the results. Most graphs are plotted using EViews. Some of the problems and solutions are obtained from Econometric Theory (ET) and these are reprinted with the pennission of Cambridge University Press. I would like to thank Peter C. B. Phillips. and the editors of the Problems and Solutions section, Alberto Holly and Juan Dolado for this useful service to the econometrics profession. I would also like to thank my colleague James M Griffin for providing many empirical problems and data sets. I have also used three empirical data sets from Lott and Ray (1992). The reader is encouraged to apply these econometric techniques to their own data sets and to replicate the results of published articles. Some journals/authors provide data sets upon request or are readily available on the web. Other empirical examples are given in Lott and Ray (1992) and Berndt (1991). Finally I would like to thank my students Wei-Wen Xiong, Ming-Jang Weng and Kiseok Nam who solved several of these exercises. Please report any errors, typos or suggestions to: Badi H. Baltagi, Department of Economics, Texas A&M University, College Station, Texas 77843-4228. Telephone (409) 845-7380, Fax (409) 847-8757, or send EMAIL toBadi@econ. tamu. edu. Table of Contents Preface . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . V Chapter 2 A Review of Some Basic Statistical Concepts Chapter 3 Simple Linear Regression . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

Author : Timina Liu
Publisher : Springer Nature
ISBN 13 : 9811503214
Total Pages : 137 pages
Book Rating : 4.14/5 ( download)

DOWNLOAD NOW!

Download or read book Time Series Analysis Using SAS Enterprise Guide written by Timina Liu and published by Springer Nature. This book was released on 2020-02-19 with total page 137 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first book to present time series analysis using the SAS Enterprise Guide software. It includes some starting background and theory to various time series analysis techniques, and demonstrates the data analysis process and the final results via step-by-step extensive illustrations of the SAS Enterprise Guide software. This book is a practical guide to time series analyses in SAS Enterprise Guide, and is valuable resource that benefits a wide variety of sectors.

Author : R. Carter Hill
Publisher : John Wiley & Sons
ISBN 13 : 1118452275
Total Pages : 1808 pages
Book Rating : 4.71/5 ( download)

DOWNLOAD NOW!

Download or read book Principles of Econometrics written by R. Carter Hill and published by John Wiley & Sons. This book was released on 2018-02-21 with total page 1808 pages. Available in PDF, EPUB and Kindle. Book excerpt: Principles of Econometrics, Fifth Edition, is an introductory book for undergraduate students in economics and finance, as well as first-year graduate students in a variety of fields that include economics, finance, accounting, marketing, public policy, sociology, law, and political science. Students will gain a working knowledge of basic econometrics so they can apply modeling, estimation, inference, and forecasting techniques when working with real-world economic problems. Readers will also gain an understanding of econometrics that allows them to critically evaluate the results of others’ economic research and modeling, and that will serve as a foundation for further study of the field. This new edition of the highly-regarded econometrics text includes major revisions that both reorganize the content and present students with plentiful opportunities to practice what they have read in the form of chapter-end exercises.

Author : Hui Liew
Publisher : Lulu.com
ISBN 13 : 1304521176
Total Pages : 191 pages
Book Rating : 4.70/5 ( download)

DOWNLOAD NOW!

Download or read book Teach Yourself Cluster Analysis, Conjoint Analysis, and Econometrics Techniques written by Hui Liew and published by Lulu.com. This book was released on 2013-10-08 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book will address such classification and econometrics techniques as cluster analysis, conjoint analysis, seemingly unrelated regression, and simultaneous equations modeling. The purpose and rationale for using each technique will be explained in lay man's terms, using illustrative concepts that are easily understood. Mathematical prerequisites are generally low; the author assumes her reader has some familiarity with descriptive statistics and multivariate analysis. After reading the book, the reader will be able to understand and apply each technique without having to know the meaning of Greek symbols and equations. The syntax and output for each technique will be discussed and the author will provide a clear explanation of how to interpret the output. Readers will know how to modify the syntax provided in the book and apply them to their own programs to use. Programming syntax in SPSS and R are provided.