Free Kindle Using Econometrics: A Practical Guide (7th Edition) ebooks Download
For courses in Econometrics. A Clear, Practical Introduction to Econometrics Using Econometrics: A Practical Guide offers readers an innovative introduction to elementary econometrics. Through real-world examples and exercises, the book covers the topic of single-equation linear regression analysis in an easily understandable format. The Seventh Edition is appropriate for all levels: beginner econometric readers, regression users seeking a refresher, and experienced practitioners who want a convenient reference. Praised as one of the most important texts in the last 30 years, the book retains its clarity and practicality in previous editions with a number of substantial improvements throughout.
Hardcover: 672 pages
Publisher: Pearson; 7 edition (March 24, 2016)
Language: English
ISBN-10: 013418274X
ISBN-13: 978-0134182742
Product Dimensions: 7.4 x 1 x 9.2 inches
Shipping Weight: 2.1 pounds (View shipping rates and policies)
Average Customer Review: 4.0 out of 5 stars See all reviews (63 customer reviews)
Best Sellers Rank: #129,282 in Books (See Top 100 in Books) #55 in Books > Business & Money > Economics > Econometrics #852 in Books > Textbooks > Business & Finance > Economics #35889 in Books > Reference
Using Econometrics: A Practical Guide, is an excellent text for an introductory course in econometrics. I commend the the author for using a logical and systematic manner regarding the structure of the book. The beginning chapters emphasize regression analysis and hypothesis testing. The middle chapters relax each of the classical assumptions regarding OLS analysis, therefore confronting nonlinear functional form, autocorrelation, multicollinearity, heteroskedasticity, and so on. Finally, the last chapters of the book encompass further topics in econometric analysis, such as forecasting, simultaneous equations, dependent binary variables, etc.I recommend this book to those who understand university-level algebra and statistical concepts such as probability theory, hypothesis testing, central limit theorem, etc. However, calculus based probability theory is not at all a prerequisite for this text.
This text probably is not necessary for those with a heavy background in mathmatical econometrics.... but is an overwhelmingly useful tool for students are new to the field of econometric analysis be it used in economics, political statistics, sociology, or other fields. It can provide simple answers to the (normal) kinds of simple questions that pop up.... and basic explanations for terminology, etc. It explains additions to typical OLS regression clearly and aptly.I would recommend this text as a must-buy for anyone NOT looking for hard-core theoretical math but only for something useful....
This is a clear, well written and very accessible introduction to econometrics (5/5). However it has almost no solutions to the questions. This makes it worthless for self study. The answers have been removed and put in the instructor's manual at the request of instructors. This might be OK if you are taking a class. But if the instructor offers so little value-added that they can't make up a problem set of their own then I'd question what you are paying them for. Maybe try the 5ed.
In 2000, I wrote a review of this text. I still stand by my assertion that this is an excellent introduction to econometrics. One thing that I failed to mention in my 2000 review is that this book is good for people who have never seen econometrics in their life. Furthermore, don't expect to see proofs, theorems, etc. This book does not emphasize mathematics.For a good introductory book that does incorporate calculus, some proofs, etc., get Gujarati's "Basic Econometrics" (not to be confused with Gujarati's "Essentials of Econometrics"). If you're only going to have one introductory book, and you want a mathematical treatment, get Gujarati. If you want an introductory book without a mathematical treatment, get Studenmund.
That book goes straight to the point. First, the title of the book is 100% appropriate. It is about how to use econometrical tools in practice. Second, exercises are E-views oriented, which is also a good point given the user-friendly E-views interface. This book is a very good introductory book for applied econometrics. I've read some reviews criticizing the book for its novice approach and lack of theoretical ground. Well, I would have done so too IF AN ONLY IF the book title had been "Advanced Theory in Econometrics". But it is not!
This is one of the "international" editions, does not have the same splits and problem sets as the US edition; which is one usually required for courses.
First of all I will admit, this is the only book I have read for econometrics. It was the book chosen by my professor for my eonometrics class while doing my undergraduate in economics. Having said that I recommend the book. I feel that it is a very good intro to a subject that can get weighted down in technical difficulties for the beginning student. Some people have complained about its lack of rigor or lack of proofs but I feel that is unjustified because all it really does is utilize statistical principles for economics. At my university, and I would assume most, stats was a prereq for this course and in stats you should cover the real nuts and bolts of statistical theory. This would give you your proofs and underlying understanding of the hands on approach this book gives for econometrics. I think that this book is good in that it does give, as it says, a practical guide to econometrics enabling the student to move on to the more analytically rigorous studies of the field. It doesn't overwhelm but leaves you with a foundational sense of understanding.
This is a great textbook, but this version being sold does not have the Heteroscedasticity chapter (Chapter 10) and instead skips that chapter and has Chapter 10 as "Running Your Own Regression Project." Even though what I bought was the Sixth Edition, all the other copies of the Sixth Edition (other than the version being sold here) have Chapter 10 as Heteroscedasticity and Chapter 11 as Running Your Own Regression Project. There is no explanation for why this particular book does not have the heteroscedasticity chapter -- it's not just "missing," since there is a Chapter 10 and there are no skips in page numbers. The chapter was simply not included as part of the book DESPITE the fact that it's the same edition as other books with a heteroscedasticity chapter. This book overall is great and I was able to get my professor to make copies of the heteroscedasticity chapter for me. I'm glad I bought the cheaper version, but just know that there may be a missing chapter (and therefore, missing chapter questions that may be assigned for homework).
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