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Using Econometrics: A Practical Guide (4th Edition)
 
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Using Econometrics: A Practical Guide (4th Edition) [Hardcover]

A.H. Studenmund (Author)
4.3 out of 5 stars  See all reviews (9 customer reviews)


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Hardcover, July 24, 2000 --  
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Using Econometrics: A Practical Guide (6th Edition) (Pearson Series in Economics) Using Econometrics: A Practical Guide (6th Edition) (Pearson Series in Economics) 4.0 out of 5 stars (1)
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Book Description

032106481X 978-0321064813 July 24, 2000 4th
This revolutionary text covers single-equation linear regression analysis in an easy-to-understand format that emphasizes real-world examples and exercises. This intuitive approach focuses on learning how to use econometrics, not on matrix algebra or calculus proofs. Clear, accessible writing and numerous exercises provide students with a solid understanding of applied econometrics. This new approach is accessible to beginning econometrics students as well as experienced practitioners.

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Product Details

  • Hardcover: 656 pages
  • Publisher: Addison Wesley; 4th edition (July 24, 2000)
  • Language: English
  • ISBN-10: 032106481X
  • ISBN-13: 978-0321064813
  • Product Dimensions: 9.3 x 7.7 x 1.1 inches
  • Shipping Weight: 2.5 pounds
  • Average Customer Review: 4.3 out of 5 stars  See all reviews (9 customer reviews)
  • Amazon Best Sellers Rank: #121,343 in Books (See Top 100 in Books)

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Customer Reviews

9 Reviews
5 star:
 (6)
4 star:
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3 star:
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2 star:
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Average Customer Review
4.3 out of 5 stars (9 customer reviews)
 
 
 
 
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13 of 14 people found the following review helpful:
5.0 out of 5 stars The best text to have for USING econometrics..., August 14, 2000
By 
J. Michael Showalter (Nashville, TN United States) - See all my reviews
(VINE VOICE)   
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....

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13 of 14 people found the following review helpful:
5.0 out of 5 stars A must have for introductory econometrics, June 14, 2000
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.

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5 of 5 people found the following review helpful:
4.0 out of 5 stars Fulfil expectations, July 9, 2003
By A Customer
This review is from: Using Econometrics: A Practical Guide (4th Edition) (Hardcover)
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!
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