- Paperback: 800 pages
- Publisher: McGraw-Hill; 5th Revised edition edition
- Language: English
- ISBN-10: 0071276254
- ISBN-13: 978-0071276252
- Product Dimensions: 25.2 x 20 x 3.2 cm
- Shipping Weight: 1.6 Kg
- Average Customer Review: 4.3 out of 5 stars See all reviews (15 customer reviews)
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Amazon Bestsellers Rank:
#119,656 in Books (See Top 100 in Books)
- #45 in Books > Business & Investing > Economics > Econometrics
- #47 in Books > Professional & Technical > Accounting & Finance > Economics > Econometrics
- See Complete Table of Contents
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Product Details |
Inside This Book
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First Sentence
Part I of this text introduces single-equation regression models. Read the first page
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
Part I of this text introduces single-equation regression models. Read the first page
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Concordance
Browse Sample PagesConcordance
Front Cover | Copyright | Table of Contents | Excerpt | Index | Back Cover
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Most helpful customer reviews
3.0 out of 5 stars
A good, but quite old, introduction to econometrics book,
By Daniel Ventosa S (Marseille, France) - See all my reviews
This review is from: Basic Econometrics (Hardcover)
I used this book during my first 2 courses of econometrics during the college. Yoo'll know, after reading the first chapters, everything about the basic tool in the field, ols (this could be seen as a problem, because you spend too much time studying too many details; an economist doesn't necessarily need such knowledge and an amateur econometrist should rather begin with a more concise manual). It's an "easy-to-read" book. Every standard student (like myself) should be able to understand everything even if he is going on his own. The problem with this book is that Gujarati wrote it 15 years ago (aprox.); the way of teaching econometrics has evolved, Gujarati's not. It's true; the recent re-editions of the book include several modern topics, such as time series and an introduction to unit roots. But the way regression problems (autocorrelation, heterocedasticity, etcetera) are treated isn't perfectly actualized. A much more modern approach and, as far as I know equally simple, can be found in Johnston and Dinardo's Econometric Methods. Gujarati's is a good idea for those wishing to learn econometrics, but there are better options, such as the one I already mentioned, the Greene and the Hill/Griffiths/Judge's. This book is much better than Maddala's. In conclusion I can say this book is a good option for undergraduate students, but not the best one.
2.0 out of 5 stars
confusing notation,
By The Blue Man (Oxford, OXON England) - See all my reviews
This review is from: Basic Econometrics (Paperback)
This book, although much-used, presents considerable problems from the point of view of the student using this as an introductory text for econometrics.First, the layout is quite dense and does not provide much guidance as to the relative importance of results. It would be far more helpful for the presentation to reflect the logical buildup of an argument to its conclusion. Instead, although the verbal exposition is usually quite clear, the presentation is a jumble, with many relatively lengthy derivations placed in footnotes! This is bad pedagogigally, as it encourages the student to skip over what are useful (and often not too difficult)parts. Second, and worse, is the continued use of deviation notation (ie. expressing a random variable in terms of deviation from its expected value) throughout the book. For this reason alone, I would never recommend this textbook for any class (incidentally, can anyone think of another textbook that follows this bizarre notation)? This is because, for the student who wishes to work through all derivations (which I always encourage) it imposes extra time constraints and a need to flick back through the book to check how variables are defined. This is incredibly frustrating and demotivating, and puts many students off econometrics before they've even given it a fair try. Third, the book reveals what is (to my mind) an unhealthy preoccupation with estimation issues, as opposed to those of data quality. As people like Granger have consistently pointed out, the real issues in 21st century econometrics have to do with what sort of data we have, and what methods are most appropriate in different situations. Gujurati, partly reflecting its long-standing use, merely dwells on the iid specification. However, I should point out in its defence that this third defect is shared by most other introductory (and graduate) textbooks on econometrics. As stated above, I would never recommend this book, preferring instead Hill's "Introductory Econometrics" which both motivates the student and takes them through the steps and methods they will need to adopt in further econometric studies, and always provides a good reference when it omits proofs and other details.
5.0 out of 5 stars
Good beginner's guide to classical empirical econometrics,
This review is from: Basic Econometrics (Paperback)
I used that book for my first empirical regression analysis in International Economics when I was an undergraduate in a business school. For the theoretical part I was using Econometric Methods ( J. Johnston).
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