Essentials of Econometrics

Author: Damodar N. Gujarati
List Price: $111.15
Our Price: Click to see the latest and low price
ISBN: 0075619350
Publisher: McGraw-Hill/Irwin (1998)
Sales Rank: 415,382
Average Customer Rating: 3.2 out of 5

Customer Reviews

Rating: 3 out of 5
High on the How, Low on the Why
For a complicated subject like econometrics, or advanced statistics in general, a truly easy to follow overview text is probably impossible. This book comes close and does a fine job of explaining the fundamentals (as an introduction or refresher) before getting into the nitty-gritty of econometrics. There are many examples and problem sets to illustrate the concepts, and the formulas are laid out well and presented in a logical order. You can clearly see how the complex formulas are generated and how they apply to econometric theories. The problem with this book is that the technical focus leads to a distressing lack of conceptual, big-picture understanding. You get exhaustive instructions on HOW to calculate complex statistical tools such as coefficients of determination or multiple aggression analyses. However, regardless of the real-world problem sets used as examples, there is usually little indication of WHY such exercises would be conducted, or WHAT the results truly mean. For example, you know how variance came to equal 2.9167, but does that number truly mean anything? An added problem is generally under-explained definitions of the terms, and a glossary sure would be helpful. This book will teach you with great precision how to calculate, but with precious little on how to interpret the results. {~doomsdayer520~]


Rating: 5 out of 5
The best book our there for undergraduate classes.
It's the best book out there for understanding basis statistics and its application to economics. It is very easy to read, understand and relatively easy to teach considering the intensity of the subject.


Rating: 3 out of 5
Not bad, but not great!
As an undergraduate economics student, this book served as a good reference for econometrics. While some basic information was omitted (which I would have found helpful), the book does an adequate job of laying out regression analysis, and its prerequisites, in a logical manner. The greatest sign of the value of a book, for a college student, is whether it is kept at the conclusion of a class or sold back. I kept this book, but I continue to look for an even better econometrics reference.

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