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Summary: A teacher's reference book
Review: A teacher's reference book, that's all it is. A good reference book, but nonetheless of little pedagogycal importance for the student of econometrics.
Rating: 
Summary: Excellent guide to a difficult, but important, subject
Review: Bill Greene's book is one of the best econometric texts available. It is not, however, a 'cookbook' that allows a 'user' of econometric software to simply plug and play. This is a book for graduate study or, at the very least, advanced undergraduates who are comfortable with mathematical statistics. It will also serve those who want to be updated on the most recent (and there are many) advances in the field. Well written and showing once again that Greene knows his stuff.
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Summary: A must-own for this material.
Review: Despite what is said above, this is a superbly laid out and extremely useful text. If I were stuck on a desert island and could only take one econometrics book, it would be this one for a variety of reasons: completeness, quality of examples, depth, and generalizability. Working in this area without the linear algebra would be a serious handicap anyways. Prentice Hall will sort out the typos eventually, I'm presume, and then we'll all be happier.
Rating:
Summary: just so-so
Review: Don't buy this book unless you are 'advanced reader' who can detect typos and figure out what Mr Greene is trying to say. If you really want to know the advanced econometrics without getting lost in meaningless technique details, read Hayashi's book. That book is much more readable.
Rating: 
Summary: Serious and accessible econometrics
Review: Econometrics is a must for advanced undergraduates and graduate students wanting to have a basic understanding of classic econometrics and special topics. It covers well time series econometrics (unit roots, cointegration, vector autoregressions). Panel regression techniques too are quite well explained. This book is a must for reference in econometrics whether one is a student or a professional economist.
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Summary: A reference book more than a textbook
Review: For some obscure reason most PhD in Econ use this book. It doesnt really explain econometrics, it just shows results. Skips more steps that are presented. With better books in the market it makes you wonder why so many schools use it. Then again this review is sort of useless, you probably MUST buy this book for a course. If that's not the case, look elsewhere...
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Summary: Difficult even at the PhD Level
Review: Greene covers all of the major aspects of econometrics, but often makes the topics more difficult than is necessary. This book is definitely not for beginners; it is difficult even at the PhD level. Greene is a good choice for someone who already has in-depth knowledge of this topic
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Summary: You had better like matrix notation!
Review: Greene is a brilliant econometrician and this text offers a good treatment of the subject. The adherence to matrix notation, however, is cumbersome and often obscures the significance of the topics. This treatment of econometrics is not for the weak-minded and one should master vector notation before venturing into these dangerous waters.
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Summary: Now, it has a competitor
Review: Greene is NOT a very good book. However it not a bad one either.It is only a comprehensive book on Econometrics, more suitable for applied economists for a quick review. I do not like the author's style of presenting the proof before the theorem. This makes it difficult and confusing to follow. Before buying it, the customer should take a look at a more recent, well organized, great competitor, and better book both for practitioners and a more theoretical econometrists: Ruud, Arthur. An Introduction to Classical Econometric Theory.
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Summary: Rigor and Detail
Review: Greene's book (or tome, more accurately) is a detailed treatement of contemporary econometric practices. It assumes prior knowledge in econometrics, statistics, and linear algebra. That said, it is possible to use Greene as a primary reference for a first course in econometrics, provided the stat and math background is present (if it's not, I suppose the appendices offer an abbreviated course).
Greene uses almost exclusively matrices, which is nice because it is practical (ie, all contemporary data sets are in matrix form) but also somewhat confusing as it hides some of the intuition. Where Greene skips over a derivation in, say, summation form, a more basic book would be inclusive. It is personal preference as to whether this is good or bad for the reader. For my first econometrics course, I supplemented this with Wooldridge, but ended up using exclusively Greene by the end of the quarter (Wooldridge was too verbose).
As I have continued to take more econometrics, I have started using Greene as a reference book rather than a primary source. In this capacity, I struggle to imagine a more useful book. All theorems are developed, all results are derived (at least in matrices), and the index is comprehensive.
Again, as a first book, Greene might be too rigorous or too cursory. After a short introduction to the craft, it will become an indispensible resource.
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