Introduction to Econometrics

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9780321223517: Introduction to Econometrics

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.

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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

About the Author:

James Stock chairs the Department of Economics at Harvard University. His research focuses on empirical macroeconomics, forecasting, and econometric methods.  Among other things, he has served on the economics panel at the National Science Foundation, on the Academic Advisory Group of the Federal Reserve Bank of Boston, and as a consultant to the European Central Bank. He received his Bachelor’s degree from Yale and holds advanced degrees in statistics and economics from the University of California, Berkeley.

Mark Watson is the Howard Harrison and Gabrielle Snyder Beck Professor of Economics and Public Affairs at Princeton University and a research associate at the National Bureau of Economic Research. He is a fellow of the American Academy of Arts and Sciences and of the Econometric Society. His research focuses on time-series econometrics, empirical macroeconomics, and macroeconomic forecasting. He has served as a consultant for the Federal Reserve Banks of Chicago and Richmond. Before coming to Princeton, Watson served on the economics faculty at Harvard and Northwestern. Watson did his undergraduate work at Pierce Junior College and California State University at Northridge, completed his Ph.D. at the University of California at San Diego, and holds on honorary doctorate from the University of Bern.

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Stock, James H. and Watson, Mark W.
Editorial: Pearson (2003)
ISBN 10: 0321223519 ISBN 13: 9780321223517
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