Free Kindle Essentials Of Econometrics ebooks Download
The primary objective of the fourth edition of Essentials of Econometrics is to provide a user-friendly introduction to econometric theory and techniques. This text provides a simple and straightforward introduction to econometrics for the beginner. The book is designed to help students understand econometric techniques through extensive examples, careful explanations, and a wide variety of problem material. In each of the editions, I have tried to incorporate major developments in the field in an intuitive and informative way without resort to matrix algebra, calculus, or statistics beyond the introductory level. The fourth edition continues that tradition.
Hardcover: 576 pages
Publisher: McGraw-Hill Education; 4 edition (May 12, 2009)
Language: English
ISBN-10: 0073375845
ISBN-13: 978-0073375847
Product Dimensions: 7.5 x 1.1 x 9.1 inches
Shipping Weight: 2.2 pounds (View shipping rates and policies)
Average Customer Review: 3.1 out of 5 stars See all reviews (11 customer reviews)
Best Sellers Rank: #298,300 in Books (See Top 100 in Books) #140 in Books > Business & Money > Economics > Econometrics #391 in Books > Business & Money > Investing > Stocks #805 in Books > Business & Money > Investing > Introduction
I gave this book 5 stars and wanted to post a response of what it is good for and what it is not good for. I am writing from the point of view of someone who has been a practitioner, teacher, and a student, all in recent times.First, relative to other books on Econometrics or statistics for that manner, this is one of the easier ones to understand. If, as a student, you are having difficulty, it is most likely because you either haven't quite yet had adequate experience with the topic and would benefit for solid instruction (which is sadly lacking for many universities). In other words, the concept being taught is actually highly embedded both with research methodology and statistics. If you (or your professor) are weak on either,book or no book, this would be a tough one to learn on one's own.Second, provided you have some background, the amazing thing about this book is that it gives you an adequate amount to ask vast majority of the "right" questions to conduct a statistical study. The sections on skew and kurtosis are better than two of the statistical texts that I have on my shelf. The sections on multi-collinearity, heteroskedacity, and auto-correlation are just enough to recognize for a beginner to understand the major statistical techniques. I admit, they ARE NOT adequate for someone who specifically needs the math side for running a very specific set of slightly more advanced techniques used in finance to address time series. However, that is not the need for most undergraduates or even many graduates; and in fact, that shouldn't be taught first anyway.This book is NOT going to be adequate as a stand alone for someone who really needs to be advanced in this topic. Clearly, they do not address linear regression in the context of linear algebra.
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