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Econometrics

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Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Econometrics by Fumio Hayashi offers a comprehensive introduction to graduate-level econometrics, covering standard estimation techniques from ordinary least squares to cointegration under a unified framework. The text is firmly rooted in both theory and practical application, with eight chapters including empirical studies from various economic fields such as labour economics, industrial organisation, finance, and macroeconomics. Emphasising the Generalised Method of Moments (GMM), this book aids in understanding diverse estimation methods relevant to first-year Ph.D. students.
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Format: Hardback
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

Ideal for first-year Ph.D. students and advanced undergraduates in economics seeking a rigorous yet accessible grounding in econometric methods, especially those interested in applied research and empirical analysis within economics.

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Introducing first year PhD students to standard graduate econometrics material, this work covers the standard material necessary for understanding the principal techniques of econometrics from ordinary least squares through cointegration. It is useful for those who intend to write a thesis on applied topics and also for the theoretically inclined.

Students of econometrics and their teachers will find this book to be the best introduction to the subject at the graduate and advanced undergraduate level. Starting with least squares regression, Hayashi provides an elegant exposition of all the standard topics of econometrics, including a detailed discussion of stationary and non-stationary time series. The particular strength of the book is the excellent balance between econometric theory and its applications, using GMM as an organizing principle throughout. Each chapter includes a detailed empirical example taken from classic and current applications of econometrics. -- Dale Jorgensen, Harvard University Econometrics will be a very useful book for intermediate and advanced graduate courses. It covers the topics with an easy to understand approach while at the same time offering a rigorous analysis. The computer programming tips and problems should also be useful to students. I highly recommend this book for an up-to-date coverage and thoughtful discussion of topics in the methodology and application of econometrics. -- Jerry A. Hausman, Massachusetts Institute of Technology Econometrics covers both modern and classic topics without shifting gears. The coverage is quite advanced yet the presentation is simple. Hayashi brings students to the frontier of applied econometric practice through a careful and efficient discussion of modern economic theory. The empirical exercises are very useful... The projects are carefully crafted and have been thoroughly debugged. -- Mark W. Watson, Princeton University Econometrics strikes a good balance between technical rigor and clear exposition... The use of empirical examples is well done throughout. I very much like the use of old 'classic' examples. It gives students a sense of history--and shows that great empirical econometrics is a matter of having important ideas and good data, not just fancy new methods... The style is just great, informal and engaging. -- James H. Stock, John F. Kennedy School of Government, Harvard University

Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! Description

Econometrics by Fumio Hayashi promises to be the next great synthesis of modern econometrics. It introduces first-year Ph.D. students to standard graduate econometrics material from a modern perspective. It covers all the standard material necessary for understanding the principal techniques of econometrics, from ordinary least squares through cointegration.

The book is distinctive in developing both time-series and cross-section analysis fully, giving the reader a unified framework for understanding and integrating results. Econometrics has many useful features and covers all the important topics in econometrics in a succinct manner. All the estimation techniques that could possibly be taught in a first-year graduate course, except maximum likelihood, are treated as special cases of GMM (generalized methods of moments).

Maximum likelihood estimators for a variety of models (such as probit and tobit) are collected in a separate chapter. This arrangement enables students to learn various estimation techniques in an efficient manner. Eight of the ten chapters include a serious empirical application drawn from labour economics, industrial organisation, domestic and international finance, and macroeconomics.

These empirical exercises at the end of each chapter provide students a hands-on experience applying the techniques covered in the chapter. The exposition is rigorous yet accessible to students who have a working knowledge of very basic linear algebra and probability theory. All the results are stated as propositions, so that students can see the points of the discussion and also the conditions under which those results hold. Most propositions are proved in the text.

For those who intend to write a thesis on applied topics, the empirical applications of the book are a good way to learn how to conduct empirical research. For the theoretically inclined, the no-compromise treatment of the basic techniques is a good preparation for more advanced theory courses.

Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?

Praised by experts like Dale Jorgensen (Harvard University) and Jerry A. Hausman (MIT), this work excels in striking a balance between rigorous theory and practical application. Reviewers highlight its clear exposition of complex concepts, thorough empirical examples, and valuable programming tips, making it ideal for both teaching and research preparation in econometrics.

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Book Details

INFORMATION

ISBN: 9780691010182

Publisher: Princeton University Press

Format: Hardback

Date Published: 19 November 2000

Country: United States

Imprint: Princeton University Press

Audience: Tertiary education, Professional and scholarly

DIMENSIONS

Width: 178.0mm

Height: 254.0mm

Weight: 1389g

Pages: 712

About the Author

Fumio Hayashi is a professor at the National Graduate Institute for Policy Studies in Tokyo. He has taught at the University of Tokyo, Columbia University, and the University of Pennsylvania. He is the author of Understanding Saving: Evidence from the United States and Japan.

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