» Econometric Analysis of Cross Section and Panel Data

Econometric Analysis of Cross Section and Panel Data
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Rating: 4.5 / 5.00 (14 reviews)


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Manufacturer: The MIT Press

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Econometric Analysis of Cross Section and Panel Data Details

Binding: Hardcover
Dewey Decimal Number: 330.015195
EAN: 9780262232197
ISBN: 0262232197
Label: The MIT Press
Manufacturer: The MIT Press
Number Of Items: 1
Number Of Pages: 776
Publication Date: 2001-10-01
Publisher: The MIT Press
Studio: The MIT Press


Econometric Analysis of Cross Section and Panel Data Reviews

Customer Rating: Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5
Summary: Everything you wanted to know about panel analysis...and forgot to ask
Comment: As a development economist with some experience with panel data, I found Wooldridge a great guide to the nitty-gritty of longitudinal analysis. Good theoretical and practical background. Examples used to illustrate each point. Organizational structure is simple and elegant. If you've been relying on the Stata Manual to help you with your xt- econometrics, check this out first; you'll be less likely to make a mistake.

A good intermediate text, and a must for any econometrician's shelf. I'm buying a second copy - one for work and one for home. You might consider the same.

Customer Rating: Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5
Summary: Excellent Book
Comment: Its an excellent book for advanced econometrics and a must read at the graduate level. Thanks Mr. Woolbridge

Customer Rating: Average rating of 3/5Average rating of 3/5Average rating of 3/5Average rating of 3/5Average rating of 3/5
Summary: Everything people say is true, but...
Comment:
This book has no graphs - not one. As long there are no graphs or figures, this work will remain incomplete.

Customer Rating: Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5
Summary: The missing link for cross section, panel data and program evaluation
Comment: 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.

Customer Rating: Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5
Summary: A comprehensive survey
Comment: 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.

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Editorial Review for Econometric Analysis of Cross Section and Panel Data:

This graduate text provides an intuitive but rigorous treatment of contemporary methods used in microeconometric research. The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end. It also clarifies the distinction between causality and statistical association.

The book focuses specifically on cross section and panel data methods. Population assumptions are stated separately from sampling assumptions, leading to simple statements as well as to important insights. The unified approach to linear and nonlinear models and to cross section and panel data enables straightforward coverage of more advanced methods. The numerous end-of-chapter problems are an important component of the book. Some problems contain important points not fully described in the text, and others cover new ideas that can be analyzed using tools presented in the current and previous chapters. Several problems require the use of the data sets located at the author's website.



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