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Amstat News asked three review editors to rate their top five favorite books in the September 2003 issue. The first edition of Applied Econometric Time Series was among those chosen.
This new edition reflects recent advances in time-series econometrics, such as out-of-sample forecasting techniques, non-linear time-series models, Monte Carlo analysis, and bootstrapping. Numerous examples from fields ranging from agricultural economics to transnational terrorism illustrate various techniques.
- Sales Rank: #1327244 in Books
- Published on: 2003-08-01
- Original language: English
- Number of items: 1
- Dimensions: 9.19" h x 1.58" w x 14.37" l, 1.10 pounds
- Binding: Hardcover
- 480 pages
Review
“In revising the text, the author has addressed a number of the issues raised by readers of the first edition and incorporated guidance on how to compare the forecasts of alternative time-series models.” (Short Book Reviews, Vol.25, No.1, April 2005)
From the Back Cover
Modern Techniques for Modern Time-Series Analysis!
Assuming only a basic understanding of multiple regression analysis, the accessible introduction to time-series analysis shows how to develop models capable of forecasting, interpreting, and testing hypotheses concerning economic data using modern techniques.
This new edition reflects recent advances in time-series econometrics, such as out-of-sample forecasting techniques, nonlinear time-series models, Monte Carlo analysis, and bootstrapping. Numerous examples from fields ranging from agricultural economics to transnational terrorism illustrate the techniques.
Features:
- Detailed example using real-world data illustrate key concepts.
- Present a straightforward, step-by-step approach to time-series estimation.
- A large number of questions and empirical exercises enable you to practice the techniques covered in the text.
- Data sets are available on the text’s Web site.
- Emphasizes difference equations as the foundation of all time-series models.
About the Author
Walter Enders, is the Lee Bidgood Chair of Economics at the University of Alabama. He received his doctorate in economics from Columbia University in New York. His research focuses on time-series econometrics with a special emphasis on the dynamic aspects of terrorism. He has published over fifty articles including those in the American Economic Review, the American Political Science Review, and the Journal of Business and Economics Statistics.
Most helpful customer reviews
20 of 23 people found the following review helpful.
Practical book on time series econometrics
By frank lindemann
I am a Financial Engineer working primarily in risk management. Over the past few months I've had to study up on time series-related topics (both GARCH and cointegration-based analyses). This book is excellent for someone who needs to find time-series information and then apply it to a problem in a hurry. The explanations are clear and intuitive, yet mathematically precise. There are plenty of examples on how to apply techniques to real world problems, including lucid discussions of the proper statistical tests to use for the various methodologies.
Like many engineers, I often find myself scrambling to find a good source for a model or system component I will have to design, usually under tight time constraints. This is a perfect example of the type of textbook I always hope to find when starting such a task.
11 of 13 people found the following review helpful.
Quite good but...
By Ruben BA
OK, the book is not that bad, it explains the theory clearly BUT it is "applied" and there is no solutions to the exercise books in the authors webpage (although they do include the data sets for the exercises). I know it's common nowadays to edit books with math exercises without a solutions manual (or at least a pdf file online) but it doesn't change anything.
So yes, it's a good book to read, but how will you be sure you understood what you've read if you can practice it?
4 of 4 people found the following review helpful.
It is really boon in time series world
By Faturachman
Enders's book is really boon in time series world. First, you no need to worry; the book is not as thick as your pillow, it brings you to time series world through simple way. Second, besides Enders makes things in simple way, the explanation is "digest-able" for people with less background in math or linear algebra and for those who eagerly want to know what time series really is. Third, Enders's book is an oasis for people who devote his/her life for research, and also for academic world as well as graduate students. Fatur -- Central Bank of Indonesia, Regional Office of Palembang, South Sumatera.
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