Rating: 
Summary: a great supplement to any good text
Review: This book doesn't pretend to be a text. It answers the questions a text usually doesn't: like how does it all fit together? and what do we do when our assumptions don't hold? The author points out that econometrics texts are usually "cookbooks", and aim to tell you how to use their collection of receipes. This book explains the assumptions behind regression, and what happens when we violate them, and what we can do about it. It also gives a good overview of the topic. This book shows the connection between the receipes in a text. It doesn't pretend to teach econometrics, so the reader isn't innundated with equations. Instead, you get a discussion of why you would want to do (or not do) the things your text would teach you. Anyone who is taking an econometrics course (graduate or undergraduate) should get this book. After reading a chapter in your text, read the corresponding chapter in Kennedy to add some depth to your understanding. I would also suggest this to graduate students who are facing preliminary or comprehensive exams in econometrics. This will help you to "bring it all together", and answer those vague, conceptual questions which seem to cause the most grief. The book has sufficient references to the literature so that you can easily follow up anything you want to explore in more depth, but it's clear and self-contained enough that only an econometrician is likely to feel the need. Each chapter is organized in three parts: a discussion of the topic, an appendix of long footnotes which add details which would obstruct the flow of the discussion, and finally, a technical appendix, where you can find a few of those equations if you really want them. This makes it easy to read the book at the level you need.
Rating:
Summary: The best econometrics book out there...
Review: Absolutely the best... I chanced upon an antiquated clothbound edition in the Dewey liby while preparing for the 1.202J mid-term and that was definitely one of the luckiest days in my (grad student) life... the fifth edition is a mega-improvement over that relic... especially with the addition of a chapter on Bayesian methods... what is great about this book is what another review(er) has said before this review: the structure of each 3-part chapter (basics; general notes; technical notes) is along the lines of the preacher explaining (in a Rudyard Kipling piece (?)) the efficacy of his sermons -- something to the tune of "First I tells them what I'm gonna tell them, then I tells them, then I tells them what I told them." You will find it it a breeze flipping through just the first parts of each chapter in order to clear the cobwebs. Very very highly recommended!!!
Rating: 
Summary: Good guide !
Review: Although it is not necessary to introduce once again a book that is already this well known, I can say that this "guide" has helped me to understand better some fundamental ideas and techniques of econometrics. It should be read before starting with the "books" on econometrics like Greene or Johnston. Like the title says, the book is only a guide, so further study is necessary for a completer understanding. Although the guide is compact and well written, the structure can sometimes be confusing. Because every topic is divided into an introduction, general notes and technical notes, you will have to read a little bit everywhere to get to know everythhing about a certain topic. I suggest you read through it all. I definitely recommend it to everybody who wants to study or teach econometrics.
Rating:
Summary: Good guide !
Review: Although it is not necessary to introduce once again a book that is already this well known, I can say that this "guide" has helped me to understand better some fundamental ideas and techniques of econometrics. It should be read before starting with the "books" on econometrics like Greene or Johnston. Like the title says, the book is only a guide, so further study is necessary for a completer understanding. Although the guide is compact and well written, the structure can sometimes be confusing. Because every topic is divided into an introduction, general notes and technical notes, you will have to read a little bit everywhere to get to know everythhing about a certain topic. I suggest you read through it all. I definitely recommend it to everybody who wants to study or teach econometrics.
Rating:
Summary: Good guide !
Review: Although it is not necessary to introduce once again a book that is already this well known, I can say that this "guide" has helped me to understand better some fundamental ideas and techniques of econometrics. It should be read before starting with the "books" on econometrics like Greene or Johnston. Like the title says, the book is only a guide, so further study is necessary for a completer understanding. Although the guide is compact and well written, the structure can sometimes be confusing. Because every topic is divided into an introduction, general notes and technical notes, you will have to read a little bit everywhere to get to know everythhing about a certain topic. I suggest you read through it all. I definitely recommend it to everybody who wants to study or teach econometrics.
Rating:
Summary: Sin non qua
Review: An essential back-up book for graduate econometrics. An elegant presentation--very few equations and no footnotes--makes it the antithesis of econometrics textbooks. This is the go-to book by which many survive basic graduate econometrics. Even after taking more advanced econometric theory courses and getting my degree, I find myself refering to it [albeit mostly in the technical notes]. The fourth edition is an improvement over the third; buy it and pass the third on to a student.
Rating:
Summary: Sin non qua
Review: An essential back-up book for graduate econometrics. An elegant presentation--very few equations and no footnotes--makes it the antithesis of econometrics textbooks. This is the go-to book by which many survive basic graduate econometrics. Even after taking more advanced econometric theory courses and getting my degree, I find myself refering to it [albeit mostly in the technical notes]. The fourth edition is an improvement over the third; buy it and pass the third on to a student.
Rating:
Summary: Great for students of Econometrics to gain more insight.
Review: As a Teaching Assistant for an Econometrics course,
this book was the best for giving students a better
feel for an otherwise difficult subject. It's non-
mathematical approach helps many comprehend a subject
that tends to get buried in algebra and proofs. It
can also be entertaining (yes, even in Econometrics!).
Rating:
Summary: Non technical Econometrics Book!!!!
Review: I agree with the other reviewers, so my contribution is marginal. The book attains its objectives of making Econometrics easier.
But it is a companion book. Since it is a non-technical text, alone, this book will not help to implement econometric models. Next editions must contain GMM method. It has a good competitor: Learning and Practice of Econometrics, by Griffith, et alli.
Rating:
Summary: Great book for those wanting a layman's understanding.
Review: I consult to the financial industry. I often get asked to recommend a statistics/econometrics book that covers all the high-level topics, yet is understandable to lawyers and accountants. This book is not a wimp by any means. I also used the book to clarify my understanding of strengths and, more importantly, what to watch out for when applying some of the high-level econometrics. A great source book for teachers or anyone who needs to explain his/her work to laypersons.
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