or
Sign in to turn on 1-Click ordering.
or
Amazon Prime Free Trial required. Sign up when you check out. Learn More
More Buying Choices
Have one to sell? Sell yours here
Time Series and Dynamic Models (Themes in Modern Econometrics)
 
 
Tell the Publisher!
I'd like to read this book on Kindle

Don't have a Kindle? Get your Kindle here, or download a FREE Kindle Reading App.

Time Series and Dynamic Models (Themes in Modern Econometrics) [Hardcover]

Christian Gourieroux (Author), Alain Monfort (Author), Giampiero Gallo (Translator)
2.3 out of 5 stars  See all reviews (3 customer reviews)

Price: $192.00 & this item ships for FREE with Super Saver Shipping. Details
  Special Offers Available
o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o o
In Stock.
Ships from and sold by Amazon.com. Gift-wrap available.
Only 1 left in stock--order soon (more on the way).
Want it delivered Friday, February 3? Choose One-Day Shipping at checkout. Details
Textbook Student FREE Two-Day Shipping for students on millions of items. Learn more

Formats

Amazon Price New from Used from
Hardcover $192.00  
Paperback $83.00  

Book Description

0521411467 978-0521411462 January 13, 1996
Concisely written and up-to-date, this book provides a unified and comprehensive analysis of the full range of topics that comprise modern time series econometrics. While it does demand a good quantitative grounding, it does not require a high mathematical rigor or a deep knowledge of economics. One of the book's most attractive features is the close attention it pays throughout to economic models and phenomena. The authors provide a sound analysis of the statistical origins of topics such as seasonal adjustment, causality, exogeneity, cointegration, prediction, and forecasting. Their treatment of Box-Jenkins models and the Kalman filter represents a synthesis of the most recent theoretical and applied work in these areas.

Special Offers and Product Promotions

  • Buy $50 in qualifying physical textbooks, get $5 in Amazon MP3 Credit. Here's how (restrictions apply)

Editorial Reviews

Review

"If I wanted to give a good overview of the field to students who already had a course on ARIMA models and some state-space theory, then I would use Time Series and Dynamic Models." Kent D. Wall, JASA

"This book is well organized and provides many insights into time series and dynamic models....this book should be a useful resource not only for the econometrician but also for the person with no background in econometrics who is interested in the general theory of time series." Errol Caby, Technometrics

"In my opinion, it is the best general text on time series analysis available. It is a masterpiece. Organization is impeccable. Results flow seamlessly from one to the next. The writing, for the most part, is very accessible. It nicely balances mathematical formality with a hands-on, tone that tells you what is "really going on."
riskbook.com

Language Notes

Text: English (translation)
Original Language: French

Product Details

  • Hardcover: 688 pages
  • Publisher: Cambridge University Press (January 13, 1996)
  • Language: English
  • ISBN-10: 0521411467
  • ISBN-13: 978-0521411462
  • Product Dimensions: 9.3 x 6.2 x 1.7 inches
  • Shipping Weight: 2.5 pounds (View shipping rates and policies)
  • Average Customer Review: 2.3 out of 5 stars  See all reviews (3 customer reviews)
  • Amazon Best Sellers Rank: #4,963,833 in Books (See Top 100 in Books)

More About the Author

Discover books, learn about writers, read author blogs, and more.

 

Customer Reviews

3 Reviews
5 star:    (0)
4 star:
 (1)
3 star:    (0)
2 star:
 (1)
1 star:
 (1)
 
 
 
 
 
Average Customer Review
2.3 out of 5 stars (3 customer reviews)
 
 
 
 
Share your thoughts with other customers:
Most Helpful Customer Reviews

10 of 10 people found the following review helpful:
2.0 out of 5 stars Not a book for economists; particularly hard to understand, April 7, 2001
By 
Daniel Ventosa S (Marseille, France) - See all my reviews
When you study an econometrics PhD. In France, you can't avoid reading books of Gourieroux: it's the national hero of econometrics. In fact, when you discover all the research he has done, you have to admit it's a brilliant person. But his books aren't particularly clear. They are made for mathematicians (the only students in my classroom that appreciate this book aren't economists; the rest of us, simple mortals, use more friendly books, such as Davidson and Mackinnon, Greene, Enders and Hamilton). What can I say? It's a very complete book: seasonality is deeply treated, ARIMA models are studied profoundly and, you can even find a spectral analysis chapter and another of the Kalman filter. But they are pretty hard to understand. The notation is complex, more than necessary. There are lots of equations and little explanations. If you are a mathematician, this book will satisfy your needs; it's rigorous and fairly complete (even if the selection of topics it's not the ideal one, I think); if you are not, you should better go to Hamilton's manual. If what you want is a cookbook of time series, then buy Enders.
Help other customers find the most helpful reviews 
Was this review helpful to you? Yes No


6 of 8 people found the following review helpful:
1.0 out of 5 stars Don't Buy It, February 28, 2002
By 
Chi Hing Ho (kansas City, MO) - See all my reviews
This is a crap book. Don't buy it. I have 3 books by this author, all published by CUP, and I swear I will never and ever buy his fourth book. This is the worst book I've every read. There are several common weak points of his books -- confusing symbols, lack of explanations on those necessary issues and lengthy B.S. on those simple issues. Numerous typing errors make the matter worse. This book spend a chapter talking about old fashion of moving averages, such as Spencer 7-point and 15-point. It almost goes into the field of graduation. What's the point? The chapters on ARIMA are also rubbish. My feeling is that the author lacks sense in statistics, all he saw are just mathematics. On the whole, this book is just on the wrong field, at the wrong time and with the wrong title.
Help other customers find the most helpful reviews 
Was this review helpful to you? Yes No


4.0 out of 5 stars Only available coverage of some non-standard practical econometric time series methods, July 10, 2006
I have used this book as a reference for about 9 years. I like it because it covers material such as seasonality (e.g. Census X11), filtering (e.g. moving averages, Hrnderson filters) and many other items which are of interest to the time-series econometrician working outside of academia and which are not well covered in the standard econometrics time series textbooks. The book is a translation of the original french version which was published in 1990 and some items are not are perhaps a little dated. The English translation could be improved.

I would recommend the book to a practicing econometrician who wishes to extend his knowledge of time-series to some of the practical but unfashionable areas covered in the book
Help other customers find the most helpful reviews 
Was this review helpful to you? Yes No

Share your thoughts with other customers: Create your own review
 
 
 
Only search this product's reviews



Inside This Book (learn more)
Browse and search another edition of this book.
First Sentence:
We suppose that the raw series xt is the sum of two deterministic components (the trend zt and the seasonality st) and of a random component (the disturbance ut) xt = zt + st + ut. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
strong structural form, weak structural form, instantaneous noncausality, square integrable variables, fractional process, affine regression, variance reduction ratio, simultaneity structure, covariance filter, causality measures, empirical autocovariances, det var, seasonal coefficients, infinite moving average representation, autoregressive polynomial, white noise hypothesis, spectral representation theorem, inverse autocorrelations, instantaneous causality, seasonally adjusted series, white noise with variance, autoregressive form, predictor space, martingale difference sequences, strict exogeneity
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Exercises Exercise, Model Let, Portmanteau Test, First Simulation, Second Simulation, Formula Derived, May June July Aug
New!
Books on Related Topics | Concordance | Text Stats
Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Search Inside This Book:




Tag this product

 (What's this?)
Think of a tag as a keyword or label you consider is strongly related to this product.
Tags will help all customers organize and find favorite items.
Your tags: Add your first tag
 

Sell a Digital Version of This Book in the Kindle Store

If you are a publisher or author and hold the digital rights to a book, you can sell a digital version of it in our Kindle Store. Learn more

Customer Discussions

This product's forum
Discussion Replies Latest Post
No discussions yet

Ask questions, Share opinions, Gain insight
Start a new discussion
Topic:
First post:
Prompts for sign-in
 


Active discussions in related forums
Search Customer Discussions
Search all Amazon discussions
   
Related forums


Listmania!


Create a Listmania! list

So You'd Like to...


Create a guide


Look for Similar Items by Category


Look for Similar Items by Subject