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Introduction to Econometrics
 
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Introduction to Econometrics (Paperback)

by James H. Stock (Author), Mark W. Watson (Author)
4.0 out of 5 stars See all reviews (2 customer reviews)

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Product details

  • Paperback: 696 pages
  • Publisher: Pearson Education; International edition edition (18 Jul 2003)
  • Language English
  • ISBN-10: 0321223519
  • ISBN-13: 978-0321223517
  • Product Dimensions: 23 x 18.7 x 2.9 cm
  • Average Customer Review: 4.0 out of 5 stars See all reviews (2 customer reviews)
  • Amazon.co.uk Sales Rank: 608,263 in Books (See Bestsellers in Books)
  • See Complete Table of Contents

Product Description

Product Description

Econometrics comes alive with Introduction to Econometrics!

This new, much-anticipated text teaches students how to become sophisticated consumers of econometrics. The authors focus on empirical analysis, integrating large data sets and modern, real-world questions into the theoretical development of the text.

The intuitive approach of Introduction to Econometrics uses interesting applications to motivate students to learn theory and to help them understand the application of the theory. Students come away with a thorough understanding of econometics and of the relationships on which people, businesses, and governments base their decisions.



From the Back Cover

Introduction to Econometrics JAMES H. STOCK (Harvard University) & MARK W. WATSON (Princeton University)

“Econometrics opens a window on our complicated world that lets us see the relationship on which people, businesses, and governments base their decisions.” —From the Preface

In this new textbook by distinguished econometricians James H. Stock and Mark W. Watson, real-world questions and data from actual empirical studies “open a window” through which the vitality and relevance of econometrics come into clear focus. The breadth of topics - including an introduction to program evaluation, panel data methods, instrumental variables regression, and regression with time series data - reflects the best of contemporary applied econometrics.

REVIEWER PRAISE FOR INTRODUCTION TO ECONOMETRICS:

“Stock and Watson have managed to bridge the gap between statistical technique and economic interpretation in a clean, clear, and concise manner.” —Òscar Jordà, University of California Davis

“The quality of the presentation is excellent - clear and understandable...This is, in my opinion, the best treatment I have ever seen to motivate the usefulness and relevance of the tools presented.” —Pierre Perron, Boston University

“The authors are very effective in providing intuitive explanations, emphasizing conceptual approaches to technical material...Students who would be confused by mathematical derivations will come away with a more solid understanding of econometrics by reading this text.” —Robert McNown, University of Colorado, Boulder

“Introductory econometrics books often make the crucial mistake of using some trivial examples that do not illustrate real problems that empirical economists encounter. This book significantly improves upon its competition by using examples, developing them in detail, and using well-motivated and important econometric issues for this development.” —Mico Mrkaic, Duke University


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Average Customer Review
4.0 out of 5 stars (2 customer reviews)
 
 
 
 
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4.0 out of 5 stars Fairly good introduction to Econometrics, 29 May 2006
By S. Manoukian (UK) - See all my reviews
(REAL NAME)   
This is a good starter for anyone wishing to fully understand some initial concepts of Econometrics before trying to tackle more advanced issues. Stock & Watson's book should only be used at the undergraduate level since it lacks in applied Econometrics. I really enjoyed the chapters on Regressions since they provided me with the necessary background to proceed to the graduate level.
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1 of 1 people found the following review helpful:
4.0 out of 5 stars Stock and Watson Minus, 1 Jan 2006
This is a very good book. It consistently reviews econometrics without assuming homoscedasticity. It states theorems very accurately throughout, once in simple form, then more generally, and finally, in some cases, using matrix algebra.

But it fails in two ways, most surprising given these authors' pedigrees: first, the book gets to time-series very late and and achieves very little in time-series. Second, the exercises are such that a student can study the book without doing a single piece of applied econometrics.

A better book (at a slightly higher level) is Jeffrey M. Wooldridge's Introductory Econometrics.

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