Order from a Major Online Bookstore
Ultimate Book Price Comparison Engine
Save Your Time And Money
| AnyBook4Less.com | Order from a Major Online Bookstore |
|
| Home | Store List | FAQ | Contact Us | | ||
| Ultimate Book Price Comparison Engine Save Your Time And Money |
||
 |
Title: A Guide to Econometrics - 4th Edition by Peter Kennedy ISBN: 0-262-61140-6 Publisher: MIT Press Pub. Date: 08 May, 1998 Format: Paperback Volumes: 1 List Price(USD): $32.95 |
Average Customer Rating: 4.76 (17 reviews)
Rating: 5
Summary: well written classic on econometrics
Comment: This is the fourth edition of a very popular text for an introductory graduate level course in econometrics. Although designed for econometricians and economics majors, the book has a lot to offer the statistician (time series analyst). There is good coverage of both the classical econometric models and the classical ARIMA time series models. The difference, as Kennedy points out, is that most univariate statistical time series models use only the past history to model and forecast the future while the econometric models emphasize the inclusion of economic predictor variables and not the past history.
However, in recent years, and partly because in fair-fight forecasting competitions the Box-Jenkins time series methods have done better than the econometric models, the econometricians are beginning to incorporate the Box-Jenkins approach in their models. As Kennedy points out,the new theory of multivariate ARIMA models is providing the econometricians with a methodology that is similar to their simultaneous equation models.
One nice feature of the book is that it treats classical linear regression theory early, highlights the key assumptions and then provides specific chapters that cover how to deal with the violations of the assumptions taken one by one.
The book is clear, up-to-date and has an excellent bibliography. It introduces the structural econometric time series approach along with multivariate Box-Jenkins methodolgy. Advanced topics such as dealing with roots on the unit circle in Box-Jenkins models and cointegration are covered. Also robust estimation procedures are discussed. It even introduces bootstrap methodology and the Bayesian approach to inference.
There is some coverage and some warnings about neural networks. Models for count data, duration, linear structural equations and instrumental variables are all presented in an introductory way.
Emphasis is placed early on the concept of sampling distributions for estimators. A clear understanding of sampling distributions is essential to understanding classical frequentist statistical approaches. Much confusion can arise when these concepts are glossed over.
Rating: 5
Summary: Non-Optional Reading for ANYONE involved in econometrics.
Comment: If you are taking a course in econometrics, graduate or undergraduate, there is no good excuse for failing to purchase this book. Kennedy has a tremendous gift for giving readers a vision for the "Forest" of econometrics, which is very handy for those readers trapped in the "trees" of Pindyck & Rubinfeld and William Greene's texts (both of which are excellent, but relatively technical).
Kennedy covers an amazingly broad selection of topics in his books. While those having difficulty understanding the field will definitely get a great deal out of the book, don't think for a second that the book is overly simplistic -- an econometrics primer. No, this is not a mere review of OLS for the Gauss-Markov impaired. Kennedy's text covers Bayesian Analysis, Vector Error-Correction Models, and even touches, albeit lightly for my tastes, on such subjects as Kalman filtering and recursive least squares. Kennedy's notes are also very insightful and bring up many issues that dominant textbooks skirt around.
Rating: 4
Summary: Mandatory Reading for Economists
Comment: Kennedy's Guide to Econometrics explains econometrics more clearly than any other book I have read. This book will not make you into an econometrician. But, this is definitely the place to start your education on empirical methods in economics.
For a book of this size, he covers a lot of territory. He covers the CLR model and hypothesis testing well, and discusses a few other things too. This guide is hardly encyclopedic. However, it covers the things economists need to know most.
Kennedy does more than just explain econometrics. He spells out the limits of econometric analysis. Texts often pay little attention to the 'con in econometrics'. Not Kennedy. He discusses the limitations and defects in standard techniques, as well as their advantages.
The only thing wrong with this book is that it does not carry the reader along far enough. After reading this book, most reader's will likely move on to a standard (i.e. badly written) econometrics textbook. In contrast, this book is written so well that it almost makes learning econometrics fun!
 |
Title: Econometric Analysis by William H. Greene, William H Greene ISBN: 0130661899 Publisher: Prentice Hall Pub. Date: 22 August, 2002 List Price(USD): $130.00 |
 |
Title: Introductory Econometrics: A Modern Approach by Jeffrey M. Wooldridge ISBN: 0324113641 Publisher: South-Western College Pub Pub. Date: 11 July, 2002 List Price(USD): $113.95 |
 |
Title: Basic Econometrics w/Software Disk by Damodar N Gujarati ISBN: 0072478527 Publisher: McGraw-Hill/Irwin Pub. Date: 18 March, 2002 List Price(USD): $133.15 |
 |
Title: Schaum's Outline of Statistics and Econometrics by Dominick Salvatore, Derrick Reagle ISBN: 0071348522 Publisher: McGraw-Hill Trade Pub. Date: 23 October, 2001 List Price(USD): $15.95 |
 |
Title: Econometric Analysis of Cross Section and Panel Data by Jeffrey M. Wooldridge ISBN: 0262232197 Publisher: MIT Press Pub. Date: 01 October, 2001 List Price(USD): $75.00 |
Thank you for visiting www.AnyBook4Less.com and enjoy your savings!
Copyright� 2001-2021 Send your comments
