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Introductory Econometrics: A Modern Approach (with Economic Applications, Data Sets, Student Solutions Manual Printed Access Card) [Hardcover]

Jeffrey M. Wooldridge
4.6 out of 5 stars  See all reviews (17 customer reviews)

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Book Description

March 27, 2008 0324581629 978-0324581621 4
INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 4e illustrates how empirical researchers think about and apply econometric methods in real-world practice. The text's unique approach reflects the fact that undergraduate econometrics has moved beyond just a set of abstract tools to being genuinely useful for answering questions in business, policy evaluation, and forecasting environments. The systematic approach, which reduces clutter by introducing assumptions only as they are needed, makes absorbing the material easier and leads to better econometric practices. Its unique organization separates topics by the kinds of data being analyzed, leading to an appreciation for the important issues that arise in drawing conclusions from the different kinds of data economists use. Packed with relevant applications, INTRODUCTORY ECONOMETRICS offers a wealth of interesting data sets that can be used to reproduce the examples in the text or as the starting point for original research projects.

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Introductory Econometrics: A Modern Approach (with Economic Applications, Data Sets, Student Solutions Manual Printed Access Card) + Mostly Harmless Econometrics: An Empiricist's Companion + Econometric Analysis of Cross Section and Panel Data
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Editorial Reviews

Review

"The most important strength of this text is its close connection (in terms of both style/structure and content) to the way empirical research is actually conducted. In particular, the emphasis on whether or not an estimated relationship can be considered causal is central to econometric practice today, and this book, unlike many others, makes that clear. The book is very comprehensive, with a wide range of topics that other introductory econometrics books do not always include but that are very common in research (e.g. panel data)."

"I use Wooldridge because it provides a nice balance of equations, examples, and well-written intuitive descriptions of econometrics. The text provides clarity, discussion, and analytic rigor, with chapter problems that are both paper and computer-based. The review of chapters in the Instructor's Guide is useful, especially as a guide in deciding how to pare down the topics to a reasonable size for one semester."

"One of the biggest strengths of this Wooldridge text is the way in which it brings together the majority of mainstream econometric models in an easy to understand and coherent manner that is suitable to a wide audience from undergraduates, graduates, and a reference text for applied economists."

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. Dr. Wooldridge has published more than three dozen articles in internationally recognized journals, as well as several book chapters. 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 Multa 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 and of the Journal of 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 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.

Product Details

  • Hardcover: 896 pages
  • Publisher: Cengage Learning; 4 edition (March 27, 2008)
  • Language: English
  • ISBN-10: 0324581629
  • ISBN-13: 978-0324581621
  • Product Dimensions: 7.5 x 1.5 x 9.5 inches
  • Shipping Weight: 3.4 pounds (View shipping rates and policies)
  • Average Customer Review: 4.6 out of 5 stars  See all reviews (17 customer reviews)
  • Amazon Best Sellers Rank: #183,644 in Books (See Top 100 in Books)

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Customer Reviews

4.6 out of 5 stars
(17)
4.6 out of 5 stars
I used this book as part of an econometric class. colleca  |  7 reviewers made a similar statement
The organization is very clear and exercises in the book are really helpful. porthole  |  4 reviewers made a similar statement
If you buy both books you will have a good basis to stand on. Jackal  |  2 reviewers made a similar statement
Most Helpful Customer Reviews
64 of 65 people found the following review helpful
5.0 out of 5 stars not a natural May 24, 2009
Format:Hardcover
I teach a first course in regression analysis to graduate students from a variety of disciplines. With rare exceptions, they take this course under duress, and their background in basic statistics is usually weak. This means that I use a lot of relatively simple examples, gradually becoming more complex as we move through the material. Functional redundancy -- saying the same thing in a variety of ways -- is also indispensable. Furthermore, I spend very little time on derivations, and try to begin doing simple problems with SPSS software by the second or third meeting.

Given this approach to fairly complex material, it is difficult to find a suitable textbook. For several years I used Gujarati's basic econometrics text and found it useful. Gujarati, however, takes a very long time to get to multiple regression, first covering the assumptions which apply to all applications of OLS regression and offering only simple regression equations for illustrative purposes.

A primary virtue of Wooldridge's basic text is that he introduces substantively interesting problems -- those using more than one independent variable -- early on. The OLS assumptions and remedies for their violation are still given excellent coverage, but this is integrated effectively throughout the book.

Wooldridge's text is a bit more difficult than Gujarati's, but it's not densely mathematical, focusing instead on practical problems. With a little guidance students acquire a very thorough grounding in regression analysis with Wooldridge's basic text. It covers a sufficiently broad range of topics, moreover, that I have found it valuable for self-instructional purposes. (If only it weren't so expensive!)

Given the foregoing, I think it is worth noting that Wooldridge's more advanced text, Econometric Analysis of Cross-Section and Panel Data, is not written in the same spirit as his introductory text. Most readers who do not use econometrics every day will, I think, find it quite difficult, presupposing a good deal of mathematical preparation, including practiced facility in using matrix algebra.
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23 of 24 people found the following review helpful
5.0 out of 5 stars Great for Self Study December 13, 2009
Format:Hardcover
I bought this text so that I could understand/interpret results and methodology in empirical business research papers. Unlike most statistic-related books I've seen over the years, this text is actually clear and focuses on providing great explanations and examples rather than proofs and derivations. Thus, this book is a great choice for self study, and it's been a huge help thus far in my PhD program.
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6 of 6 people found the following review helpful
5.0 out of 5 stars Comprehensive intro February 6, 2011
Format:Hardcover|Amazon Verified Purchase
I am a first year PhD student in health policy and just started reading the book and now I am half way done with it. Seems to me that the book is not for just skimming through. One needs to read through it and get back to it when s/he tries to fit a regression model of his or her own. The book is precise and comprehensive and I would say flawless. I hope , when I am done reading it, I will keep it as my core econometrics reference.
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Most Recent Customer Reviews
5.0 out of 5 stars Easy to Read with Good Coverage
I'm a PhD student in economics, with a poor background in econometrics. I chose this Wooldridge text as a simple easy-to-read guide to run me through the principles underlying... Read more
Published 4 months ago by someone
5.0 out of 5 stars Big fan of this book.
Econometrics is so fascinating especially if you enjoy both statistics and politics. You are able to apply statistical theory the real life situations.
Published 4 months ago by UCDstudent
5.0 out of 5 stars Review from an Undergrad Econ Student
I used this book as part of an econometric class. We covered Conditions for OLS, simple & multiple regressions, R^2 and adjusted R^2, T tests and F tests, Testing for... Read more
Published 5 months ago by colleca
5.0 out of 5 stars Brilliant
This book is perfect for me, an economic major, to self-learn econometrics. The organization is very clear and exercises in the book are really helpful.
Published 5 months ago by porthole
5.0 out of 5 stars Great shape. Great service.
Book was in excellent shape, came on time, and was a great price. Very satisfied with the product and the service.
Published 7 months ago by LJmedia1
4.0 out of 5 stars Thorough Text
For those students that are looking for a serious econometrics text that is also very readable, this is a good choice. Read more
Published 11 months ago by Alex
5.0 out of 5 stars Super good-value product
SUPER AWESOME Service!!!!!!! EXTREMELY FAST DELIVERY. I was very concerned about when I can I get it since the ads said it needs 2-6 business days. Read more
Published 12 months ago by runner
1.0 out of 5 stars Too many typos!
I bought this book with the kindle edition. It was nice to get a book immediately, but in the book there are too many typos. Read more
Published 23 months ago by Ooowjay
5.0 out of 5 stars Good pretty new condition of this used book
Very good and only the first few pages have highlight but the rest is very clean. Got it pretty fast too.
Published on May 1, 2011 by KK
5.0 out of 5 stars Simplifies econometrics!
A true masterpiece in the field of econometrics. It has placed within an updated context the scattered variables taught in econmetrics years ago, simplifying the use of tables and... Read more
Published on October 16, 2010 by Oscar Cury
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