Customer Reviews:
Showing reviews 6-10 of 17
Excellent book, but no graphs September 4, 2007 Charles Thibault 1 out of 5 found this review helpful
This is a an excellent textbook at the graduate level.
WHAT'S GOOD:
- Detailed explanations: Wooldridge's "wordiness" helps with the interpretation of the math.
- The examples are very clear and he tends to "re-use" them through the text which is good because it adds layers to your own understanding. All the datasets in the examples are available for download.
- Problems at the end of each chapter are both "math-based" and "applied", so it's nice to get a mix of both proofs and applied empirical work.
WHAT'S NOT SO GOOD:
- No graphs! I have to give it Four Stars **** because the book has no graphs - not one. Graphs can go a long way, for example, in explaining identification in a 2SLS system.
- There's not a lot of material on time-series.
The missing link for cross section, panel data and program evaluation June 1, 2007 Erick Ramos Murillo (Cambridge Massachusetts) 3 out of 3 found this review helpful
This book fills a real gap for those who are interested in things like ATE, ATET and topics related to impact evaluation that are only talked about now in research papers. The explanations are very very clear and they walk you through the thinking process by which the different methods were developed. Of course, it has the traditional coverage of panel data and cross section but with the clarity that Wooldridge always delivers on his books. For all that, this is a perfect addition to your econometric libraries as it covers topics that are not discussed in traditional and introductory econometric books.
A comprehensive survey May 12, 2007 D. Schmidt (190683) 1 out of 1 found this review helpful
This book provides an excellent overview about state-of-the-art methodologies in econometrics. Instead of other textbooks it stresses more on conditionals and explains potential problems with underlying assumptions in more detail. As I find it sometimes hard to orientate myself, I give 4 stars.
Very good coverage on cross-sectional, but not enough of panel data August 17, 2006 Yin Luo (New York, US) 6 out of 6 found this review helpful
This book does an excellent job in covering cross-sectional and microeconometric models (Stata codes for all examples in the book are available from UCLA's webside). However, the exposure to panel data is limited. For a theoretical overview of panel data econometrics, I'd recommend Hsiao and Baltagi. For applied work, Edward Frees wrote a good book, although his book is more from the social science perspective (SAS and Stata codes are provided).
The best? Not for me (and everyone I know). September 30, 2005 A. Barbosa (Pittsburgh) 5 out of 50 found this review helpful
Clearly this product is overrated. In my opinion the book is a complete mess, with definitions, propositions and theorems mixed with the main text and not clearly evidenced from it.
It's funny, because the book uses a panoplia of bolds, italics, etc in the main text (well, there is only main text here) which I dislike and think is unnecessary, and then do not use it to evidence the important results. As a result I think this is probably the worst book that I can remember of for reference.
There are better books and it's almost impossible to get one worse than this one.
Showing reviews 6-10 of 17
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