PDF Ebook Introduction to Econometrics (3rd Edition) (Addison-Wesley Series in Economics), by James H. Stock, Mark W. Watson
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Introduction to Econometrics (3rd Edition) (Addison-Wesley Series in Economics), by James H. Stock, Mark W. Watson
PDF Ebook Introduction to Econometrics (3rd Edition) (Addison-Wesley Series in Economics), by James H. Stock, Mark W. Watson
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An approach to modern econometrics theory and practice through engaging applications.
Grasp the relevance of econometrics with Introduction to Econometrics–the text that connects modern theory and practice with engaging applications.
The third edition builds on the philosophy that applications should drive the theory, not the other way around, while maintaining a focus on currency.
- Sales Rank: #67582 in Books
- Published on: 2010-12-13
- Original language: English
- Number of items: 1
- Dimensions: 9.20" h x 1.30" w x 7.40" l, 2.80 pounds
- Binding: Hardcover
- 840 pages
Most helpful customer reviews
9 of 9 people found the following review helpful.
Depends on who you're teaching.
By not a natural
This text is unusually brief when compared to most econometrics texts, and the brevity reflects the coverage of topics. Nevertheless, the authors have done a favor for those of us who have to teach regression to students without strong backgrounds in statistics, and whose interests do not take them into comparatively esoteric material.
As it is, the book does a good job of covering basic issues essential to using OLS regression for applied work in most institutional settings. The book is written so that students find it more accessible than other texts, though most still find it pretty heavy going. The book is replete with graphs and charts, clarifying important issues. Examples are numerous and instructive, as are questions for students to answer and problems for them to solve.
More and more academic majors are requiring their students to gain a working knowledge of regression analysis. Stock and Watson's book makes that task less onerous, and it recognizes that most students will not have to go beyond the core topics needed to work with useful but relatively simple models. A good book.
14 of 16 people found the following review helpful.
Would not recommend
By shma
The authors have adopted a very awkward approach: They exclude much statistical theory and any math beyond basic algebra, but they still try to incorporate a little bit of rigor and some formal (or quasi-formal) definitions here and there. The result is just confusing. Their unsuccessful attempt at balancing between intuition and rigor is not helped by the writing itself, which is clumsy, or the generally uninteresting examples provided. (Note: Some additional explanations and derivations are included in various appendices, but they are hard to find and generally not very detailed.) IMHO, Wooldridge's "Introductory Econometrics" does a much better job conveying the underlying concepts at a comparable level, has better examples, and is much more pleasant to read.
8 of 8 people found the following review helpful.
Great for an introductory class with less complex math skills
By Billy Zeng
I am using this book as a self study guide to run regression on personal projects. I find that what it lacks in math rigor as compared to Wooldridge's Introductory Econometrics, it far than make up for in data interpretation. It is a mistake to use this book for students who have advanced math skills such as probability theory and multivariate calculus. But for business or just applications it is superior.
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