Rating: 
Summary: Focus on the bottom-line not matix algebra
Review: An excellent second introduction to regession analysis and panel data. I will never become an econometrician so I need a book which covers a lot of ground from a practical standpoint. This book is great
Rating: 
Summary: Did the trick ...
Review: As an undergraduate student, studying econometrics I advise that this book is a very (very) basic introduction to econometrics (one-step up from basic statistics, probabilities, etc). One minus of the book, is that it lacks detailed examples of some of the key concepts (which is defintiely a must when you are learning something new) .... the concepts are detailed enough but it is always helpful to have a real world example of the concept. Also, some of the chapters can induce learning overload and require intense concentration ... which I found to be quite annoying (as you do when you are a student). If the chapters were broken up a bit more, it would be a far easier read (see my recommendation below concerning an easier read). However, the appendices are most excellent for review of key prior mathmatical knowledge (probabilities,statistics, etc) ... but you will likely need to know your "stuff" before you attempt to read this book (which is logical really). If you are interested in econometrics but not so good with maths, I recommend purchasing Schaum's outlines: an introduction to mathematical economics by Edward T Dowling, as this is a most excellent, informative book with hundreds of worked through examples. Additionally, I have also recently read "Learning and practising econometrics" by William E Griffiths et al, and this is a far easier read than Woolridges book ... but maybe that is because I have already read Woolridges book (just a thought). At any rate whilst using this book, I passed my basic econometrics 200 level course, with a pleasing grade. So all in all, the book did do the trick! Good luck, Kristina
Rating:
Summary: Did the trick ...
Review: As an undergraduate student, studying econometrics I advise that this book is a very (very) basic introduction to econometrics (one-step up from basic statistics, probabilities, etc). One minus of the book, is that it lacks detailed examples of some of the key concepts (which is defintiely a must when you are learning something new) .... the concepts are detailed enough but it is always helpful to have a real world example of the concept. Also, some of the chapters can induce learning overload and require intense concentration ... which I found to be quite annoying (as you do when you are a student). If the chapters were broken up a bit more, it would be a far easier read (see my recommendation below concerning an easier read). However, the appendices are most excellent for review of key prior mathmatical knowledge (probabilities,statistics, etc) ... but you will likely need to know your "stuff" before you attempt to read this book (which is logical really). If you are interested in econometrics but not so good with maths, I recommend purchasing Schaum's outlines: an introduction to mathematical economics by Edward T Dowling, as this is a most excellent, informative book with hundreds of worked through examples. Additionally, I have also recently read "Learning and practising econometrics" by William E Griffiths et al, and this is a far easier read than Woolridges book ... but maybe that is because I have already read Woolridges book (just a thought). At any rate whilst using this book, I passed my basic econometrics 200 level course, with a pleasing grade. So all in all, the book did do the trick! Good luck, Kristina
Rating:
Summary: Good but not enough.
Review: I bought Wooldridge`s book about 5 months ago, because I needed an introductory text, which is newer than Gujarati`s Basic Econometrics (1995).
Wooldridge's book is easy to understand, covers most of the topics you can expect. Good for beginners, undergraduate courses, but finally I still felt necessary to buy Gujarati`s book too. The latter is just better for an introductory-intermediate text.
If you have a low budget, and you need a text that you can use in the long run as well, choose rather Gujarati`s book.
Rating:
Summary: commment
Review: I love this book even as a graduate student. It covers all the major issues in the fields and explains it more easily to understand than the graduate texts. I borrowed a copy and then decided to buy one.
Rating:
Summary: Econometrics explained not proved
Review: I own quite a lot of books on econometrics. But this one is I think one of the best. Not in technical detail, but in the clear intuitive explanations. If you want to study a subject by yourself, first read up the subject in this book. Only then move on to the mathematical details in others. Besides the clear presentation of subjects, the excellent real world examples are a great help to gain an understanding. Last but not least, the text put more emphasis on cross-section and panel-data than is usual. Unless youre only interested in macro-econometric modelling this is an approach I warmly endorse. Is there no point of critique? A minor one: the appendices might be shortened, but I imagine others will find them helpfull.
Rating:
Summary: Nice introduction!
Review: This book gives a nice introduction to Econometrics. It goes well when explains difficult concepts with lots of details and examples in a clear straight forward approach.
It lacks a little of rigorous proofs. It's more for you to understand what is econometrics, how to apply it and basic problems associated to it.
For more advances and rigorous texts, check the also excellent Gujarati's book, Fumio Hayashi's Econometrics and Greene's Econometrics Analysis.
Rating:
Summary: Excellent book
Review: This book gives very good intuition about the econometric analysis tools. For econometrics, this is the simplest book that covers so much and explains things so simply.
I definetely recommend this book.
Rating:
Summary: A must-have
Review: This book provides excellent intuition about what assumptions we are making and why, and what questions we are trying to find out and how. It establishes the necessary link between real-world data and how to make sense out of it. It is a must-have for people who are interested in econometric analysis. I thank the author for bridging the gap that many econometric textbooks lack.
Rating:
Summary: Econometrics for economists not statisticians
Review: This book requires little more knowledge than secondary school statistics to start enjoying it. This book, better than any other book I know, enables people to study introductory econometrics by themselves. Even so, it covers a lot of ground (SEM, paneldata and times series analysis). Throughout the author focuses on intuition rather than providing mathematical proofs. The author knows his readership, and never falls into the trap of using technical econometric language or matrix notation. This quality makes this book the best econometrics book for economists. This quality also, however, makes the book less suitable for people who want to master econometrics at a much higher level, as it bridges the gap with economics, but not with the more technical and more advanced books. If this is only your introduction, and you're not going to be able to stay away from the proofs in matrix algebra in the future, then consider A Guide to Modern Econometrics of Marno Verbeek. It is a bit more technical and uses both normal and matrix notation, but shares the attraction of clear examples and intuitive explanation. These two books together should be able to remove texts like Greene and Judge from the study list for economics students new to econometrics.
| 
