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Undergraduate Econometrics, by R. Carter Hill, William E. Griffiths, George G. Judge
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This book explores econometrics using an intuitive approach that begins with an economic model. It emphasizes motivation, understanding, and implementation and shows readers how economic data are used with economic and statistical models as a basis for estimating key economic parameters, testing economic hypotheses and predicting economic outcomes.
- Sales Rank: #5644176 in Books
- Published on: 1998-09-22
- Original language: English
- Number of items: 1
- Dimensions: 10.24" h x .81" w x 7.24" l, 1.10 pounds
- Binding: Hardcover
- 384 pages
Review
Instructor's Resource Guide available. -- The publisher, John Wiley & Sons
From the Publisher
Introduces econometrics to undergraduates using an intuitive approach that starts with an economic model. It emphasizes motivation, understanding, and implementation. By using an intuitive approach, readers are shown how economic data are used with the economic and statistical models as a basis for estimating key economic parameters, testing economic hypotheses, and predicting economic outcomes.
Most helpful customer reviews
12 of 13 people found the following review helpful.
carter makes me not-so-afraid of metrics...
By simon smith
this is one of those econometrics (i'll call it "metrics" from now on to save on typing) books which you know has to cover alot of the slow, boring stuff which lecturers expect students to know by the time they take metrics options and hated by undergraduates. having said that, this book does it quite well. one thing i hate in metrics texts is dense mathematical proofs. especially proofs which assume the reader knows other proofs intimately. this book nicely avoids that, dropping in an adequate and useful amount of proofs, especially the Gauss-Markov Theorem and a proof of why OLS estimation outshines any other method in simple regression analysis. the book does this without being overwhelming - in my opinion, mathematics has to be appreciated through discussion and argument, which Hill et al do quite admirably. Also, metrics is about interpretation of results, not just calculating them, and this book keeps that in mind very well from beginning to end. The reason i gave this book 4 stars is simple. when i was doing my last minute cramming for exams, i was able to move through the book quickly and easily, whilst still appreciating the main points, the big picture, and also the subtleties of more advanced topics like GLS, moments-based estimation and distributed lags in a short space of time. the book also comes with useful end-of-chapter "should know" points and problems. the best thing about the problems is the "real-world" nature of the tasks, often drawing on real-life data and economic intuition. using that data and being able to become comfortable with computer techniques is the most vital thing to a beneficial study of metrics. i found gujarati's "basic econometrics" a nice companion to this book (but then again everyone likes gujarati to some extent), but mostly i was satisfied with this book as a stand-alone manual to second-year metrics studies, good for laying the foundations for studies in topics like maximum likelihood estimation and financial econometrics. oh, and it's small and not too heavy. good for carrying around to classes all day!
6 of 6 people found the following review helpful.
A Nice Beginner's Textbook
By Joe Tsou
This book begins with simple concepts and gradually introduces more complex methods at a pace that is very comfortable for self-study. It also can be used in a one-quarter course for undergraduates who have had basic courses in calculus and linear algebra. However, it doesn't give all proofs for the statistical theorems in the text.
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