Econometric Analysisi, 6/e serves as a bridge between an introduction to the field of econometrics and the professional literature for social scientists and other professionals in the field of social sciences, focusing on applied econometrics and theoretical background. This book provides a broad survey of the field of econometrics that allows the reader to move from here to practice in one or more specialized areas. At the same time, the reader will gain an appreciation of the common foundation of all the fields presented and use the tools they employ. This book gives space to a wide range of topics including basic econometrics, Classical, Bayesian, GMM, and Maximum likelihood, and gives special emphasis to new topics such a time series and panels. For social scientists and other professionals in the field who want a thorough introduction to applied econometrics that will prepare them for advanced study and practice in the field.
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12 of 13 people found the following review helpful:
2.0 out of 5 stars
The poster child for all that is wrong with econometrics textbooks,
By The Wild Gunman "man on the run" (Austin, Texas USA) - See all my reviews
This review is from: Econometric Analysis (Hardcover)
This book seems to be the standard, go-to textbook for modern econometric methods. It suffers from the same problem that plagues all econometrics texts. Like all metrics textbooks, it's long and overly detailed where it should be concise, and it's terse where it should be detailed. It also lacks a coherent, step by step structure. It's rather stunning how the book can suddenly change gears, getting half way through introducing the rationale and reasoning behind a particular method or approach, then inexplicably digressing into a confusing, long winded mathematical derivation of the asymptotics of the method, and then completely abandoning the reader. It might make a reasonable reference book for one's bookshelf, though the price is awfully high for such a reference. Just don't expect to learn much econometrics from it without a set of really good lecture notes.
Statistics texts are almost universally either ultra-simple, hand waving outlines with no good mathematical insight, or they're a sprawling, useless mess of asymptotic derivations with no practical explanation, applicable intuition, or computational guidance. I'm hoping that one day, someone will write a really good econometrics textbook. Maybe Greene or a co-author could radically overhaul the book someday. Until then, I'm afraid we're stuck.
8 of 9 people found the following review helpful:
2.0 out of 5 stars
A Missed Opportunity,
By Mr. Me (Boston, MA USA) - See all my reviews
This review is from: Econometric Analysis (Hardcover)
Scattered throughout this 1300+ page monster are the pieces of an excellent 600-page econometric theory reference work. At his best, Greene's explanations are clear and strike a good balance between concision and explanatory detail. In particular, the sections on OLS and the mathematical appendices are very good.
But then there are the flaws. This was the only core textbook used in my first year PhD core published by a commercial textbook firm rather than a university press, and it has all the defects that make undergraduate texts so horrible. The theoretical passages are fragmented by largely unhelpful examples of applications, all typeset in some ugly sans serif font that sometimes look like it's not even kerned properly. The middle of the book is not well organized, and explanations often refer to results proved in later chapters; I speculate without other evidence that some editor reshuffled the order of the chapters to make older editions' page and problem numbers obsolete. Older (and hopefully future) editions may not have this problem, but it's really bad in the sixth. I hope future editions of this book will lose the fat, find somebody with a sense of design to set the type, and put the chapters in a logical sequence. Then it might be a fine textbook. For now, there are plenty of other graduate econometrics textbooks; if you have a choice, consider your other options.
4 of 4 people found the following review helpful:
2.0 out of 5 stars
Not for the statisticaly weak at heart.,
This review is from: Econometric Analysis (Hardcover)
I use this text as required for a PhD level course...however, I would recommend Peter Kennedy's Guide to Econometrics as a more chatty, descriptive companion to Greene. Kennedy fills in the gaps of intuition where Greene can be technical and assumptive that the reader was actually able to understand previous chapters.
It is ok for the down and dirty equation but is less informative of the why and how necessary to explain what is going on with your data set.
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