Customer Reviews

Applied Econometric Time Series

5 star:		(11)
4 star:		(3)
3 star:		(1)
2 star:		(1)
1 star:		(0)

 

 

I bought Walter Enders book several years ago, when I was an undergraduate student. It's a nice manual. Perhaps you won't see the statistical demonstration of the unit-root (Dickey-Fuller) test, but you will understand why it doesn't follow a standard probability distribution and you'll know how to use it. It's the same idea with Perron's unit-root with structural change test. The author introduces the reader to the main topics of interest in the time series field; ARIMA, VAR, ARCH, unit roots, cointegration, and distinction between deterministic trends and stochastic trends. This work is done through an understandable and fun text. You will enjoy reading the book. Besides that, the author illustrates each topic with an economic example perfectly presented and, in general, very interesting (business cycles, PPP, foreign exchange Market efficiency, Unit roots in GNP for example). I particularly enjoyed the unit root and the perron's test chapters. I used them a lot in my final work in college. Here, you will have the simplest explanation of ARCH processes. As someone else said, this is only an introductory book (for applied econometricians it should be seen as an excellent and very intuitive cookbook); if you are interested in time series, you can begin here, but you should then reading more advanced books, such as Hamilton's Time Series Analysis. A great combination of introductory manuals can be achieved if you have Johnston and Dinardo "Econometric models".

This book is without a doubt the most readable text one can find on time-series analysis for the breadth of coverage it contains. For those hopelessly lost in the matrix and vector notation of Hamilton's "Time-Series Analysis," Enders' book should give you the understanding you need to begin studying Hamilton in earnest. Enders' book contains some terrific examples of impulse response functions and VAR (vector autoregression) analysis that you won't find in Hamilton.

The only down side to Enders book is that it isn't really complete. There are a number of topics, such as the Kalman filter, that Enders could have done an outstanding presentation of, but didn't. Hopefully, he will reconsider such topics for later editions. Meanwhile, the beginning student is unlikely to regret their purchase of his first edition.

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.

As the other reviewers pointed out, the greatest quality of the Enders's book is its readability. It is, most certainly, a very good introduction to the topic. It is getting old, though. The developments in the time series literature have been pretty fast and a new edition would certainly be a good idea.

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.

I bought this book as an introductory reading to time series. And found it very easy to understand, both the theoretical explanations and practical applications. I think it is a "must have handbook" for any economics student. The last edition also covers the recent panel unit root tests, not the 2nd generation ones but Im, Pesaran, Shin panel test is explanained pretty well. Graphical illustrations of series and visual detection of possible problems are nice for beginners. Also, shows how to analyze data step-by-step with plenty of examples. In overall I think it is a great investment for those doing empirical studies and/or starting to learn/work with time series.

Having read a few books on time series analysis, Enders provides the best introduction to the area. The approach is simple and practically oriented. Explaining the basics of the area with limited use of math is beneficial. With this area developing so rapidly, a new, updated edition would be a welcome book on my shelf.

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?

This book has a nice focus, written with a clear audience in mind, and at a reasonable level of complexity. The big plus is that one can try out the techniques immediately with RATS -- a superb econometrics package. The book introduces some of the fairly new techniques, and spends some time on usually neglected topics, eg, multiequation timeseries models. Great book. The only minus point is that neural networks are not discussed, a very promising area for modeling.

I got the book since I needed to read on VAR models. I am working on panel data and this book explains the concept in time series of course. However, it still helped me to get the concept. I tried many books on VAR and non were helpful, they all make it so complicate and mathematical for no reason! while this book used just enough amount of math and intuition to explain it.