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Econometrics
PDF Download Econometrics
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Review
"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
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From the Inside Flap
"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
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Product details
Hardcover: 690 pages
Publisher: Princeton University Press; unknown edition (December 15, 2000)
Language: English
ISBN-10: 9780691010182
ISBN-13: 978-0691010182
ASIN: 0691010188
Product Dimensions:
7.2 x 1.2 x 10.2 inches
Shipping Weight: 2.7 pounds (View shipping rates and policies)
Average Customer Review:
4.5 out of 5 stars
28 customer reviews
Amazon Best Sellers Rank:
#268,204 in Books (See Top 100 in Books)
I had to use Hayashi for econometrics. My econometrics professor did not explain much and always told us to refer to the book.Wow...I still remember the pain. Trying to prove things that almost seemed impossible and stuff that they never taught me in college.To be fair the book is well written. And I confirmed this with my hardcore econ PhD friends. Also, that is why a lot of econometrics professors love this book. However, if you do not have a solid math/ econometrics background then I suggest starting with easier book such as Wooldridge or Cameron's Econometrics book. Then look at Hayashi. Also, it is super helpful if you have a friend that can help you with the math and the proofs.Also, these days, there are lot of Econometrics YouTube videos and other materials online, so you can supplement them. But ultimately, you have to really go through the pain and then you will see the beauty.
Over the past four or five decades, econometric methods have been borrowed and used more or less effectively by social scientists in a broad range of disciplines. Generally, though certainly not in every case, those who use econometric methods in other social sciences are not as well trained in mathematics as economists, and they have little or no knowledge of economic theory.To meet the demand for accessible econometric literature in other disciplines, authors and publishers have produced textbooks that are much less mathematically demanding than the staple sources. Examples include Wooldridge's Introductory Econometrics, Gujarati's Essentials of Econometrics, Stockman and Watson's Introductory Econometrics, and Mirer's Economic Statistics and Econometrics. Also, Peter Kennedy's Guide to Econometrics is an accessible catalog of tests and correctives for violation of assumptions, provided the non-specialists stay out of the technical appendices.However, Hayashi's Econometrics clearly does not belong in the category of textbooks that appeal to a broad-based audience of social scientists. Hayashi, quite rightly, has a different audience in mind, and he assumes that the reader knows and has facility in applying the mathematics that is legitimately expected of economists. He also liberally incorporates economic theory into his presentation. While the econometric texts mentioned above lean heavily on OLS estimators, Hayashi treats OLS as just a special case of the generalized method of moments, a concept that is entirely alien to most students and practitioners who are not well schooled in the mathematical methods of economics.One consequence is that social scientists who are not cautious in selection of self-instructional materials order Hayashi's text and are then dumbfounded when they encounter mathematics and economic theory that they are not prepared to handle. Sure, they could take the time and effort needed to get up to speed, but most folks are in a hurry and have more pressing concerns for released time and sabbaticals.I was introduced to econometrics in an independent study thirty-five years ago. I was assigned sections from the first edition of Johnston's Econometric Methods and Kmenta's Elements of Econometrics, as well as few journal articles, and was then on my own. As a result, I can sympathize with other non-economists' frustration. Johnston and Kmenta may seem pretty accessible now, but at the time they were regarded as difficult. I initially preferred Kmenta because his first edition (as well as his second) did not require practiced facility with matrix algebra. I'm still embarrassed to recall, however, how mystified I was when Kmenta began introducing alternatives to OLS estimators. I didn't know there were any! I eventually learned a lot, but making sense of Johnston forced me teach myself the rudiments of matrix algebra.I know that textbook publishing is a racket, just look at the prices. But I think that publishers have an obligation to very conspicuously apprise prospective readers that a text like Hayashi's understandably makes demands on the reader that non-economists typically will not meet. Otherwise, social scientists who might use applied econometrics in their less mathematically-intensive disciplines will waste money and be deprived of statistical tools they might put to good use.
One of the best books I've ever read. Hayashi explains everything very clearly and never leaves any details out. The end of chapter exercises, especially the projects where the readers works with a real paper and data, are amazing.
Explains things in a way that I can understand - even in the first chapter presents GLS in a very intuatitive way
very classical book~
The modern standard econometric theory is fully covered in this excellent book. I felt very comfortable with the moment approach to econometrics conducted from first to last page. Also the exercises and examples are quite illuminating. You will not regret!
My favorite PhD metrics textbook. It is great for learning as opposed to being a dense reference like Greene. The beautiful typesetting makes it an easy read. And it is so cheap!
Kind-of a dense read, but Hayashi's book was recommended by one of my econ professors.
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