Econometric Analysis Hardcover – 10 Aug 2007
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Most Helpful Customer Reviews on Amazon.com (beta)
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.
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.
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.
This book requires some knowledge of econometrics and the language used to describe it, and is not advisable to non-graduate students. If you are a graduate student though, *especially* a phd student, give this book a try. You won't regret it.