Econometrics

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.

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.

Used this in my PhD econometrics course. Fantastic book and reference.

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.

The book is in near perfect condition. And it's hardcover. Love it so much.

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!

good

Easily the best econometrics book I own!

I am using this book for a graduate econometrics. This book is deceptively easy to read as it skips many onorous details, which can be discovered in review questions. My math background is probably not as solid as it should be, and I do not major in economics either. Hence this book is probably perfect for someone who is able to see the language of mathematics that has been skipped or implied. I need more support to understand proofs, hence only three stars. Someone with a different background and ability to see the derivations and proofs probably enjoys this book up to all five stars.

This is a good book I thought I don’t receive it. I was wrong

the best book of econometrics

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