Applied Econometric Time Series, 2nd Edition

Rating:
Summary: The Chiang of the time series
Review: 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.

Rating:
Summary: Excellent for non-mathematical readers
Review: Easy to follow, clear exposition and very motivating for the students. Highly recomended for senior students in Economics

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Summary: An understandable and fun introduction to time series
Review: 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".

Rating:
Summary: The Chiang of the time series
Review: Starting with the Difference Equations (Ch 1), Enders will walk you through practical methods involved in time series.

This is a good introductory book in time series. But, it has some practical aspects. For example, in Chapter 3, the yen/dollar exchange rate model is cited, indicating non-random walk behavior in this exchange market so that an efficient market hypothesis may not apply here. Then the business cycles are discussed. As the cycles in exchange markets are what some technical traders look for, an approach like this is valuable to working analysts.

Rating:
Summary: A Practical Book
Review: Starting with the Difference Equations (Ch 1), Enders will walk you through practical methods involved in time series.

This is a good introductory book in time series. But, it has some practical aspects. For example, in Chapter 3, the yen/dollar exchange rate model is cited, indicating non-random walk behavior in this exchange market so that an efficient market hypothesis may not apply here. Then the business cycles are discussed. As the cycles in exchange markets are what some technical traders look for, an approach like this is valuable to working analysts.

Rating:
Summary: An Elementary Book
Review: The book is an introduction to time series and covers ARMA, VAR Unit roots and Basic Cointegration, is a good book for people that want learn time series quickly, the book has some elementary theory of time series and many examples and exercises, the computacional problems needs some of RATS ...the book describes time series without advanced mathematics.

Rating:
Summary: good coverage, accessible, and examples in RATS
Review: 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.

Rating:
Summary: Excellent book for beginners in time-series analysis
Review: 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.

Rating:
Summary: a good place to start
Review: This is the best place to start to learn time series econometrics for anyone who has in his background only basic econometrics, calculus and matrix algebra. The reason is that Enders makes very complicated subject to look rather simple. This book shows how and why time-series is different from standard econometrics. It covers a lot of models employed in time series: ARMA, VAR, Unit Roots, Cointegration and Error-Correction. It proposes simple strategies that applied researchers can follow making their treatment of time-series more or less adequate. However, you would underestimate complexity of time series after reading this book. I would recommend to combine it at least with Hamilton's book.