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Price: $126.60 Prices subject to change.
Availability: Usually ships in 1-2 business days
Binding: Paperback
Dewey Decimal Number: 330.015195
EAN: 9780312235130
ISBN: 0312235135
Label: Palgrave Macmillan
Manufacturer: Palgrave Macmillan
Number Of Items: 1
Number Of Pages: 797
Publication Date: October 13, 2000
Publisher: Palgrave Macmillan
Studio: Palgrave Macmillan
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Editorial Review:
Product Description:
Covering the essential elements of the subject of econometrics, the author also introduces and explains techniques that are now widely used in applied work, although rarely introduced in detail in non-specialist texts, such as integrated time series, cointegration, simulation analysis, Johansen's Approach to multivariate co-integration and ARCH. The author explains the central distinction between stationary and nonstationary time series, which is of crucial importance in many areas of analysis, especially in macroeconomics and financial economics.
Book Description:
Covering the essential elements of the subject of econometrics, the author also introduces and explains techniques that are now widely used in applied work, although rarely introduced in detail in non-specialist texts, such as integrated time series, cointegration, simulation analysis, Johansen's Approach to multivariate co-integration and ARCH. The author explains the central distinction between stationary and nonstationary time series, which is of crucial importance in many areas of analysis, especially in macroeconomics and financial economics.
Average Rating: 
Rating:  -
It's one of the clearest and most helpful book on the subject. It has a lot of empirical examples, and covers a really wide range of topics (ARCH, ARMA models, stationarity tests and co-integration (Jensen framework, Engle test, etc.)). The book also contains excellent theoretical explanations for the introduced practical issues. It's perfect for a practitioner or a graduate-level student who wants to understand empirical applications of many time series or econometrics concepts that were introduced on a more theoretical and mathematical level elsewhere (e.g., Greene's "Econometric Analysis", or Brockwell & Davis "Time Series").
This book is quite unique, and is NOT directly comparable to either classical econometric texts (e.g., Greene's book), or standard textbook texts on time series (Hamilton's or by Brockwell & Davis). It's written from a practical point of view, and the presented theory is fully motivated by practical problems that arose in econometrics. The theory is explained ... Read More
Rating: -
This book is useful for several reasons. First, it is readabale without being a collection of "how to" recipes (like, for instance, the book by Enders). It tries hard to provide a theoretical context to the results it presents, and almost always succeeds in so doing. Second, it focuses on selected (4 or 5) but "meaningful" applications (i.e. with all the steps necessary for actual publication, at least back in 1998), dedicating whole chapters to each of them. Third, it contains possibly the best textbook chapter ever written on cointegration (chapter 8, a pearl in my opinion). The VAR-VECM chapters are good too.
The book is not perfect, though. First, it got old soon. There is little or nothing on cointegration and unit root testing with structural breaks, nothing on panel data cointegration, etc. Second, chapter 9 (on endogeneity and the FM-OLS estimator) is somewhat difficult and a little outdated (I mean, who uses FM-OLS estimators in this day and age? What about DOLS?). All ... Read More
Rating:  -
Patterson's text is perhaps one of the worst econometrics textbooks that I have come across in recent years. The writing is cumbersome and unwiedy, the exposition is awkward, and the overall treatment of the subject is rather tiresome, uninspiring.
The only reason that I did not give this book a "one-star" is that it could serve a useful purpose: it can show budding econometric textbook authors how not to write a textbook.
Rating: -
Looking for miracles before examination? This is the book that I have depended on for 2 months to understand time series analysis in a logical manner. The book is an impetus for a much more simpler approach in studying econometrics. The matrix method was not left out which is a stride in understanding the greater complexities of mathematics involved in many econometrics textbook. Written in a lively fashioned aligned with some of the famous empirical studies which are pillars of modern economic thinking. The approach is based on the authors' thinking to act as a support function for many students who are indeed interested to learn the values of empirical analysis in economics. Without this book I would have never apotheosised the study of econometrics in this way. I congratulate the author for his successful scholarly work!!! Your book paved way to my success!
Rating: -
There are many good books on time series analysis, i.e. Enders (1995), Hamilton (1994), and Maddala and Kim (1998). Unfortunately, the books is intended for advance learner. While Enders (1995) is accessible for begginners, it seems getting old and become a nostalgia.
Fortunately, Patterson (2001) has provided a readability book for student and practitioner that all this time has been forgotten by most writers in this subject. Without going into much frighteners (and more likely will confuse the beginners) advance mathematical, matrix, and econometric theory; the book give theoretical insight into what is supposed to be known in the subject. While this book is only a complete refresher (and could be boring) for advance learner, I cannot find a better introduction book.
As detailed reference textbook, it covers basic subject on time series (i.e. ADF test, Engle-Granger procedure, cointegration, VAR, and VECM) up to several higher-level issues such as multiple unit roots, ... Read More
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