- Hardcover: 634 pages
- Publisher: McGraw-Hill Higher Education; 4 edition (1 Feb 1998)
- Language English
- ISBN-10: 0079132928
- ISBN-13: 978-0079132925
- Product Dimensions: 23.9 x 16.5 x 3.3 cm
- Average Customer Review: 4.0 out of 5 stars See all reviews (2 customer reviews)
- Amazon Bestsellers Rank: 1,110,992 in Books (See Top 100 in Books)
Did you know you can trade in your old books for an Amazon.co.uk Gift Card to spend on the things you want? Plus, get an extra £5 Gift Certificate when you trade in books worth £10 or more before June 30, 2012. Visit the Books Trade-In Store for more details. |
Product details |
More About the Authors
Discover books, learn about writers, and more.
Product Description
Product Description
First course in Econometrics in Economics Departments at better schools, also Economic/Business Forecasting. Statistics prerequisite but no calculus. Slightly higher level and more comprehensive than Gujarati (M-H, 1996) . P-R covers more time series and forecasting. P-R coverage is notch below Johnston-DiNardo (M-H, 97) and requires no matrix algebra. Includes data disk.
From the Publisher
Book restructured into four (previously three) parts.
Part One now introduces the multiple regression model and chapter 2 has new material on descriptive statistics.
Part Two now covers single-equation regression models
New chapter (10) on nonlinear and maximum-likelihood estimation with a section on ARCH and GARCH models. New tests for heteroscedasticity (ch.6) and use of panel data (ch.9).
Part Three has revised exposition and a small macroeconomic model in an Appendix.
Four Four includes a revised treatment of time-series analysis. Chapter 18 combines two chapters from the 3/e on estimation and forecasting with time-series models.
Data for examples included in text or in IM. Now data also provided in a diskette which comes with the book.
Reviewers acclaim student accessibility, comprehensiveness, and appropriate and extensive examples.
Book helps the student understand the art of model building. The book aids understanding what type of model to build, building the appropriate model, testing it statistically, and applying the model to practical problems in forecasting and analysis --This text refers to the Paperback edition.
Part One now introduces the multiple regression model and chapter 2 has new material on descriptive statistics.
Part Two now covers single-equation regression models
New chapter (10) on nonlinear and maximum-likelihood estimation with a section on ARCH and GARCH models. New tests for heteroscedasticity (ch.6) and use of panel data (ch.9).
Part Three has revised exposition and a small macroeconomic model in an Appendix.
Four Four includes a revised treatment of time-series analysis. Chapter 18 combines two chapters from the 3/e on estimation and forecasting with time-series models.
Data for examples included in text or in IM. Now data also provided in a diskette which comes with the book.
Reviewers acclaim student accessibility, comprehensiveness, and appropriate and extensive examples.
Book helps the student understand the art of model building. The book aids understanding what type of model to build, building the appropriate model, testing it statistically, and applying the model to practical problems in forecasting and analysis --This text refers to the Paperback edition.
Inside This Book
(Learn More)
First Sentence
Data resulting from the measurement of variables may come from any number of sources and in a variety of forms. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Data resulting from the measurement of variables may come from any number of sources and in a variety of forms. Read the first page
Explore More
Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Suggested Tags from Similar Products(What's this?)Be the first one to add a relevant tag (keyword that's strongly related to this product)
|
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
What Other Items Do Customers Buy After Viewing This Item?
Customer Reviews
Most Helpful Customer Reviews
1 of 1 people found the following review helpful
Format:Paperback
This is a good econometrics book at the beginner level that will give most students a solid base to start with. However, it only glimpses some advanced or very specific topics and is a little outdated. Well written, with good demonstrations, although not intended to cover in full all the details. Readers interested in more advanced topics are encouraged by the authors to follow other bibliography (Greene, for example). And it covers forecasting and time series models, what some books at this level do not cover very well.
4 of 5 people found the following review helpful
Format:Hardcover
This was my first econometrics textbook 7 years ago. Not difficult at all, but covers the most important material for econometrics students at the beginner's level. Good structure and good examples.You may not be able to find everything there, because it is not "advanced" version. A little bit outdated. Newly developed ideas and technichs are not covered.
Most Helpful Customer Reviews on Amazon.com (beta)
Amazon.com:
9 reviews
24 of 26 people found the following review helpful
Great equations, bad explanations
6 Nov 2003
Format:Hardcover
The subject of econometrics is difficult for the beginner. I have yet to encounter a text that does a great job at explaining both the concepts and the math required to be proficient in this field. I completed three courses, two undergraduate and one graduate level, for which this book was the required text. Like most of my classmates I was never able to fully comprehend the concepts behind the numbers using this text alone. Now that I have a better grasp of econometrics I will vehemently suggest that this text provides a poor verbal description of what a student is actually doing when analyzing data. I found myself reading the chapters 2 or 3 times and still felt unsure of what was going on. Where this book is strong is in its presentation of equations. I highly recommend supplementing this text with Peter Kennedy's, "A Guide to Econometrics," which gives excellent verbal explanations but de-emphasizes the math. These two texts together make a great study for a difficult subject.
8 of 8 people found the following review helpful
Deceivingly more information than you think - half way between introductory and advanced
6 Mar 2006
Format:Hardcover
In sum: This book is half-way in between an introductory text (i.e. Wooldridge - Introductory Econometrics) and an advanced graduate textbook (Greene - Econometric Analysis).
Wooldridge's introductory textbook is certainly better suited for a first class in econometrics. Pindyck and Rubinfeld provide an excellent complement however, particularly for mid-level graduate students. Appendices show the matrix form derivations of most estimators, and provides a treatment of the GMM estimator, neither of which you will find in an purely introductory course. Really the appendices are where the more advanced treatments are offered to the interested reader.
Sections on forcasting and time series models in this book are greatly superior than what is offered in introductory texts (which usually is no presentation at all).
Pindyck and Rubinfeld do not waste a word in this textbook. There's a discussion on pretty much all the estimators, although some of these are short (one paragraph and no equations for the ordered probit - but you can't have it all!).
If you know nothing about econometrics then this is not the book for you. I was forced to buy it in my introductory econometrics class and had no idea what was going on. Then I had a competent instructor and lots of Wooldridge reading. This book helped me through Master's level econometrics and makes for good subway reading, but will definitely be shy of what you need for a PhD in economics. For PhD you will need Greene OR [Hamilton (1994) AND Wooldridge's Cross Section and Panel Data book].
Wooldridge's introductory textbook is certainly better suited for a first class in econometrics. Pindyck and Rubinfeld provide an excellent complement however, particularly for mid-level graduate students. Appendices show the matrix form derivations of most estimators, and provides a treatment of the GMM estimator, neither of which you will find in an purely introductory course. Really the appendices are where the more advanced treatments are offered to the interested reader.
Sections on forcasting and time series models in this book are greatly superior than what is offered in introductory texts (which usually is no presentation at all).
Pindyck and Rubinfeld do not waste a word in this textbook. There's a discussion on pretty much all the estimators, although some of these are short (one paragraph and no equations for the ordered probit - but you can't have it all!).
If you know nothing about econometrics then this is not the book for you. I was forced to buy it in my introductory econometrics class and had no idea what was going on. Then I had a competent instructor and lots of Wooldridge reading. This book helped me through Master's level econometrics and makes for good subway reading, but will definitely be shy of what you need for a PhD in economics. For PhD you will need Greene OR [Hamilton (1994) AND Wooldridge's Cross Section and Panel Data book].
5 of 6 people found the following review helpful
econometrics for the statistically literate
5 Aug 2000
Format:Hardcover
This is a very good text for an undergraduate student taking a first course in regression analysis and modelling. It is very comprehensive and has some very good examples for a beginner. The only problem is that the field of stochastic modelling is very dynamic so some of the material covered in the book has become outdated.
Were these reviews helpful?
Let us know
Listmania!
|
|
Look for similar items by category
Look for similar items by subject
Feedback
- Would you like to update product info or give feedback on images?
- I am the Author, and I want to comment on my book.
- I am the Publisher, and I want to comment on this book.
