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Econometric Analysis of Cross Section and Panel Data, second edition (Mit Press) 2nd ed. Edition
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The second edition of this acclaimed graduate text provides a unified treatment of two methods used in contemporary econometric research, cross section and data panel methods. By focusing on assumptions that can be given behavioral content, the book maintains an appropriate level of rigor while emphasizing intuitive thinking. The analysis covers both linear and nonlinear models, including models with dynamics and/or individual heterogeneity. In addition to general estimation frameworks (particular methods of moments and maximum likelihood), specific linear and nonlinear methods are covered in detail, including probit and logit models and their multivariate, Tobit models, models for count data, censored and missing data schemes, causal (or treatment) effects, and duration analysis.
Econometric Analysis of Cross Section and Panel Data was the first graduate econometrics text to focus on microeconomic data structures, allowing assumptions to be separated into population and sampling assumptions. This second edition has been substantially updated and revised. Improvements include a broader class of models for missing data problems; more detailed treatment of cluster problems, an important topic for empirical researchers; expanded discussion of "generalized instrumental variables" (GIV) estimation; new coverage (based on the author's own recent research) of inverse probability weighting; a more complete framework for estimating treatment effects with panel data, and a firmly established link between econometric approaches to nonlinear panel data and the "generalized estimating equation" literature popular in statistics and other fields. New attention is given to explaining when particular econometric methods can be applied; the goal is not only to tell readers what does work, but why certain "obvious" procedures do not. The numerous included exercises, both theoretical and computer-based, allow the reader to extend methods covered in the text and discover new insights.
- ISBN-100262232588
- ISBN-13978-0262232586
- Edition2nd ed.
- PublisherThe MIT Press
- Publication dateOctober 1, 2010
- LanguageEnglish
- Dimensions8.25 x 1.72 x 9.31 inches
- Print length1096 pages
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Editorial Reviews
Review
"In this leading econometrics textbook, Wooldridge offers a very good explanation of the basics of the field - making it a great resource for econometrics students - and a contemporary treatment of many important topics, making it a wonderful reference for researchers as well. The new edition provides clear explanations of many recent developments."--Whitney Newey, Jane Berkowitz Carlton and Dennis William Carlton Professor of Microeconomics, MIT
"This second edition provides a comprehensive, accessible, and updated treatment of cross section and panel data methods. The book is full of useful insights, applications, and worked problems. It will serve as an invaluable textbook and reference for graduate students and researchers alike."--Richard Blundell, Institute for Fiscal Studies, University College London
"Jeffrey Wooldridge's excellent textbook well meets the need for an up-to-date text explaining state-of-the-art methods to potential practitioners among graduate students. The book covers familiar and less familiar ground with clarity and with attention to the issues of greatest relevance to practical applications. . . . Extremely valuable." -- Ian Preston, "The Times Higher Education Supplement"
"This book will be a great resource for researchers and graduate students interested in applied and theoretical microeconometrics. The topics covered in this book belong in the toolbox of modern applied and theoretical microeconometricians, and many of them have not previously been covered in easily accessible textbook format." --Bo Honore, Department of Economics, Princeton University
"Wooldridge's new book should be extremely useful for graduate students in econometrics and also in applied fields. It gives a state-of-the-art discussion of econometric methods used to analyze data in a wide variety of situations." --Jerry Hausman, McDonald Professor of Economics, Massachusetts Institute of Technology
About the Author
Product details
- Publisher : The MIT Press; 2nd ed. edition (October 1, 2010)
- Language : English
- Hardcover : 1096 pages
- ISBN-10 : 0262232588
- ISBN-13 : 978-0262232586
- Item Weight : 4.11 pounds
- Dimensions : 8.25 x 1.72 x 9.31 inches
- Best Sellers Rank: #474,395 in Books (See Top 100 in Books)
- #80 in Econometrics & Statistics
- #364 in International Economics (Books)
- #1,766 in Professional
- Customer Reviews:
About the author
Jeffrey M. Wooldridge is a University Distinguished Professor of Economics at Michigan State University, where he has taught since 1991. From 1986 to 1991, he served as Assistant Professor of Economics at the Massachusetts Institute of Technology (MIT). Dr. Wooldridge has published more than 70 articles in internationally recognized journals, as well as several chapters in well-respected books. He is also the author of ECONOMETRIC ANALYSIS OF CROSS SECTION AND PANEL DATA. His work has earned numerous awards, including the Alfred P. Sloan Research Fellowship, the Plura Scripsit award from Econometric Theory, the Sir Richard Stone prize from the Journal of Applied Econometrics, and three graduate teacher-of-the-year awards from MIT. A fellow of the Econometric Society, the Journal of Econometrics, and the International Association for Applied Econometrics, Dr. Wooldridge has been editor of the Journal of Business and Economic Statistics and econometrics co-editor of Economics Letters. He has also served on the editorial boards of the Journal of Econometrics, Econometric Theory, and the Review of Economics and Statistics. Dr. Wooldridge received his B.A. with majors in computer science and economics from the University of California, Berkeley, and received his Ph.D. in economics from the University of California, San Diego.
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Top reviews from the United States
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I envy the reviewers who call the book intuitive or an introduction. I cannot imagine using this book as an introductory textbook even at the doctoral level. This book is invaluable for someone who already has a good understanding of econometrics and wants a lot of detail and guidance in one place. I wouldn't want to live without it. But I don't think I would have been ready for it until after the second class in my doctoral econometrics sequence, or possibly the third.
Several reviewers have complained about the lack of graphs. I haven't missed them, because the equations and text are very clear.
Anyway, this volume is the leading and, in my view, the best treatise on econometrics involving panel data. I worked through various chapters of it as part of a Ph.D. level class on advanced econometrics. (No, I have not read the entire book, and I have never met anyone who claimed that (s)he did.)
This book requires
(1) a solid grounding in linear algebra ("matrices")
(2) a very solid grounding in econometrics
(3) a very substantial amount of spare time
On the plus side, the author has a skill for elegant and clear writing. He is also one of the leading experts on many of the topics covered, and it shows. For many of the topics, I have not been able to find a clearer and more useful treatment elsewhere.
On the downside, you will occasionally have to consult other materials as well, especially research papers. This should not surprise you. If you are interested in econometrics at the level covered in this treatise, then you know that econometrics is an evolving science, and you can never get the absolute cutting-edge research from any treatise. However, my advice is: Use this treatise as your go-to resource and then delve into the most recent papers for the topics that your research focuses on.
All the topics relevant to cross-sectional data are included (OLS, FGLS, dealing with heteroskedasticity or serial correlation, IV, MLE, probit/logit models, etc.), in a more rigorous way than "Introduction to Econometrics", in addition to panel topics. Linear algebra is used to simplify the notation.
Compared to more elementary texts, the typography is more bland and traditional, but that's probably because the target audience is narrower and more serious. A Times serif font is used for both the text and the math.
I can't say much now about what material is omitted, but I'll see if I can update this review in a few years' time.
Even if this book were as expensive as other PhD econometric books I would highly recommend it. However, as that it is 1/3 to 1/4 the price of other textbooks I think it is an exceptional deal.
Top reviews from other countries
Dieses Werk richtet sich hingegen an Masterstudenten mit Schwerpunkt Ökonometrie oder Doktoranden. Es deckt alle üblichen Verfahren (und noch einiges mehr) im Bereich Querschnitts- und Paneldaten ab. Dazu gehören die übliche kleinste-Quadrate-Methode, Instrumentvariablen, Schätzung von Gleichungssystemen und die Behandlung von Paneldaten (Fixed, Random und First Difference Estimators). An spezielleren Themen gibt es unter anderem etwa Regressionen mit Zähldaten, GMM, Quantile Estimation, Binary und Ordered Response Models. Auch an der "Stichprobenfront" werden z.B. mit Stratified und Cluster Sampling wichtige Themen behandelt. Sehr schön ist die scharfe Trennung von Problemen mit der Stichprobenziehung und Problemen mit der Schätzmethodik. Auch das (aktuelle) Thema der Identifizierung von kausalen Effekten gibt es ein Kapitel.
Das einzige was in diesem Buch nicht behandelt wird, sind die Methoden der Zeitreihenanalyse. Dafür gibt es aber eine Reihe anderer Bücher (etwa den Hamilton, obwohl mir als Einführung der Kirchgässner / Wolters sehr gut gefallen hat).
Wer sich für (Mikro-)Ökonometrie interessiert und kein Einsteiger mehr ist, kann hier trotz des hohen Preises beruhigt zugreifen. Dieses Buch behandelt wirklich alle wichtigen Themen und lässt sich dabei noch (im Gegensatz zum Greene) relativ flüssig lesen. Wer vor allem Ökonometrie im Makrobereich macht, sollte sich aber lieber ein gutes Buch zur Zeitreihenanalyse holen.