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Unit Roots, Cointegration, and Structural Change (Themes in Modern Econometrics)
 
 
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Unit Roots, Cointegration, and Structural Change (Themes in Modern Econometrics) [Paperback]

G. S. Maddala (Author), In-Moo Kim (Author)
4.0 out of 5 stars  See all reviews (7 customer reviews)

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Book Description

0521587824 978-0521587822 March 13, 1999
Time series analysis has undergone many changes during recent years with the advent of unit roots and cointegration. This textbook by G. S. Maddala and In-Moo Kim is based on a successful lecture program and provides a comprehensive review of these topics as well as structural change. G. S. Maddala is one of the most distinguished writers of graduate and undergraduate econometrics textbooks today and Unit Roots, Cointegration and Structural Change represents a major contribution that will be of interest both to specialists and graduate and undergraduate students.

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Editorial Reviews

Review

"This well-written book is sure to become a must-read for empirical researchers as well as upper-level graduate students who are contemplating dissertation work in theoretical time series econometrics...This book is a welcome addition to books on time series analysis." Mathematical Reviews

Book Description

Time series analysis has undergone many changes during recent years with the advent of unit roots and cointegration. This textbook by G. S. Maddala and In-Moo Kim is based on a successful lecture programme and provides a comprehensive review of these topics as well as of structural change. G. S. Maddala is one of the most distinguished writers of graduate and undergraduate econometrics textbooks today and Unit Roots, Cointegration and Structural Change represents a major contribution to Themes in Modern Econometrics, of interest both to specialists and graduate and undergraduatestudents.

Product Details

  • Paperback: 524 pages
  • Publisher: Cambridge University Press (March 13, 1999)
  • Language: English
  • ISBN-10: 0521587824
  • ISBN-13: 978-0521587822
  • Product Dimensions: 9.2 x 6 x 1.1 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #1,098,915 in Books (See Top 100 in Books)

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27 of 27 people found the following review helpful:
4.0 out of 5 stars interesting topic, February 8, 2008
This review is from: Unit Roots, Cointegration, and Structural Change (Themes in Modern Econometrics) (Paperback)
This is a book on specialized topics in econometric modeling. Like Franses recent book it deals with ARIMA models with unit roots and advances in the theory of cointegration. This book is somewhat advanced but is perfect for the right audience, the statisticians and econometricians that deal with time series modeling (univariate and multivariate ) and structural equation modeling.
The asymptotic theory is well covered but the unique feature of the book is that it points out that the asymptotics can give very poor approximations in small to moderate sample sizes. The authors provide alternatives including the use of the bootstrap for standard error estimates, confidence bounds and hypothesis testing (particularly tests for unit roots).

It is clear and covers the important literature. Much like Franses book it covers bootstrap and Bayesian methods and really does provide a current and useful approach to important problems and methodology in econometrics.

It could be used for a special topics graduate course or as a supplement to a graduate course in econometrics.

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15 of 17 people found the following review helpful:
5.0 out of 5 stars Intuition behind modern time series analysis, April 23, 2000
This review is from: Unit Roots, Cointegration, and Structural Change (Themes in Modern Econometrics) (Paperback)
This book is extremely well written. It gives a good intuition behind unit roots and cointegration. It tells us to be critical when it comes to unit roots and cointegration; they are not very powerful in a statistical sense. The authors warn of using such techniques blindly. This book is a good start for an intuitive feel after a tough Time Series course where one is all entangled in sophisticated statistical techniques.It is also a good book for the professional economist not very knowlegeable in time series econometrics. I personally learned a lot from that book and it increased my critical capacity when it comes to econometrics.
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21 of 25 people found the following review helpful:
1.0 out of 5 stars the worst book I have ever had!, April 29, 1999
By A Customer
This review is from: Unit Roots, Cointegration, and Structural Change (Themes in Modern Econometrics) (Paperback)
I was required to read this book as a part of my field course in econometrics. The book is full of mistakes, especially on asymptotic distributions of estimators. Since the properties of these estimators of unit root tests depend on those asymptotic distributions, this kind of mistake is crucial. Also, the results they derive are sometimes misleading and other times even outright wrong! This book is a mere survey of papers other people wrote and not a good one at that. In summary, do not spend your money on this book!
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Inside This Book (learn more)
First Sentence:
The purpose of this chapter is to introduce several terms that will be used repeatedly in the subsequent chapters, and to explain their meaning. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
superfluous regressors, panel data unit root tests, stochastic cointegration, substantial size distortions, seasonal cointegration, fractional unit roots, skip sampling, double unit roots, point null hypotheses, fractional alternatives, model with drift, seasonal unit roots, finite sample evidence, unit root model, uncertain unit roots, fractional cointegration, regime switching models, unit root null, periodic autoregression, cointegrating regression, cointegrated systems, structural time series models, unit root case, moving block bootstrap, single equation methods
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Economic Statistics, Journal of Econometrics, Econometric Theory, Economics Letters, Oxford Bulletin, Annals of Statistics, Dickey Fuller, Journal of the American Statistical Association, Springer Verlag, Cambridge University Press, Department of Economics, Engle Granger, Journal of Monetary Economics, Economic Journal, Markov Switching Models, New Approach, Academic Press, Alonte Carlo, John Wiley, Journal of Applied Econometrics, Journal of Finance, Max Chow, Annals of Mathematical Statistics, Econometric Institute
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