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Rating: Summary: The panacea for studying a stimulated-simulated approach TSA Review: 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: Summary: An Awkward Treatment of Time Series Econometrics Review: 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: Summary: The Long waiting gift for beginners in time series Review: 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, structural and seasonal problems in unit roots/cointegration, ARCH, and GARCH. This book is intended to provide students, researchers, and forecasters with a definitive, self-contained survey of time series analysis. With intensive application, the book will attract applied academician and practitioner in business sector. 5 chapters exclusively dedicate for application, this equal to 30% of the book contain (around 230 page from 750 page contain). The subject cover in application section are popular subject: money demand, term and structure interest rate, Phillips curve, and exchnage rate. More examples also available in every chapter. From this point of view, the book delivery what its promise in the title: "Applied Econometric; A Time Series Approach". With such a simplifying way in explaining the subject, the book will be a richly enjoy reading for undergraduate and first year graduate students of all sciences, not only in economics. This much-needed book synthesizes major developments in Time Series into a single, coherent presentation of the current state of the art of this increasingly important field.
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