Free Kindle Introduction To Econometrics (3rd Edition) (Addison-Wesley Series In Economics) ebooks Download

                
              
Free Kindle 
Introduction To Econometrics (3rd Edition) (Addison-Wesley Series In Economics) ebooks Download
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. 
Series: Addison-Wesley Series in Economics
Hardcover: 840 pages
Publisher: Addison-Wesley; 3rd edition (December 13, 2010)
Language: English
ISBN-10: 0138009007
ISBN-13: 978-0138009007
Product Dimensions:  7.4 x 1.3 x 9.2 inches
Shipping Weight: 2.5 pounds
Average Customer Review:  3.6 out of 5 stars  See all reviews (56 customer reviews)
Best Sellers Rank: #64,552 in Books (See Top 100 in Books)   #23 in Books > Business & Money > Economics > Econometrics   #416 in Books > Textbooks > Business & Finance > Economics   #18427 in Books > Reference
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.
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.
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.
One of the worst textbooks I have ever used. It talks in circles and will literally repeat itself verbatim in multiple chapters. Also, you can tell that the authors are numbers people, not words people -- most often, the topics described could be explained with HALF the number of sentences used. I took an intermediate statistics course at the same time as econometrics, and there were times I'd be reading through this book, confused for 5 pages, and then have a revelation of "OH! THAT'S that they were talking about..."
I used this textbook for an econometrics class. Many of the concepts were explained with too much math/symbols, and not enough intuitive understanding. It would have helped to use move visuals to improve comprehension. Also, there are some typos in some of the formulas and math, so verify the author's work while you read!Leaves much to be desired... I was lost in the lectures, so this book got me through some of the concepts, but it could have been better. (In comparison, for a previous stat course I used the book 'Statistics' by Freedman, which used excellent visuals and graphs to really drive the points home.)
The materials in this book is organized in a strange way. Whenever I try to find something in this book, it always makes me confused. For those good at math, you can just work on the math part and follow whatever PPT the instructor gives you (This book is totally unhelpful, or even detrimental to your learning). If you are confident in math, try to find PPT online from NYU or UIUC econometric courses. If you're not so confident about that, Jeffrey Wooldridge's Introductory Econometrics would be much more helpful than this one.
Poorly written with unclear examples. Massively redundant throughout, seemingly follows the idea that repetition of the same poor explanation will help you understand better. Material is complex enough without introducing unnecessary decipherability challenges.If you have another option, take that option. If not, supplement (or supplant) with another book or online resources.
I found the book to be adequate in terms of how well-written it is, but lacking in many areas that keep it from getting anything higher than 3 stars.My biggest gripe is that there are few examples. I really took this for granted, and didn't notice how important it was until they were taken out. In classes like math, you can easily get lost in all the notation in each formula. Examples are important because they show you how to use that formula in a real application. The book lacks examples, and this really makes it harder to understand what Stock and Watson are talkin about.Another thing I'd like are answers to their problems. This is just useful so that you can check whether you are doing the problems at the end of the chapter right. Otherwise, you're completely clueless on how well you are doing.
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