Product Description

Advanced Econometrics is both a comprehensive text for graduate students and a reference work for econometricians. It will also be valuable to those doing statistical analysis in the other social sciences. Its main features are a thorough treatment of cross-section models, including qualitative response models, censored and truncated regression models, and Markov and duration models, as well as a rigorous presentation of large sample theory, classical least-squares and generalized least-squares theory, and nonlinear simultaneous equation models.

Although the treatment is mathematically rigorous, the author has employed the theorem-proof method with simple, intuitively accessible assumptions. This enables readers to understand the basic structure of each theorem and to generalize it for themselves depending on their needs and abilities. Many simple applications of theorems are given either in the form of examples in the text or as exercises at the end of each chapter in order to demonstrate their essential points.

Product Details

• Amazon Sales Rank: #99469 in Books
• Published on: 1985-11-07
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 521 pages

Review
The book provides an excellent overview of modern developments in such major subjects as robust inference, model selection methods, feasible generalized least squares estimation, nonlinear simultaneous systems models, discrete response analysis, and limited dependent variable models.
--Charles F. Manski, University of Wisconsin, Madison

Customer Reviews

Excellent reference, but not an easy read!
This book is justly considered a classic. It has been around for many years, and with some reasons. It provides a very rigorous treatment of many fundamental concepts in cross-section econometrics, such as linear and non-linear models, M-estimation, maximum likelihood, limited dependend variable models. It also has one of the best and more rigorous yet accessible treatments of basic asymptotic theory (the examples and countexamples in this section are uncommonly good). Amemiya is very very rigorous, and this a book where typos and sloppiness do now dwell. Overall, it is not an easy read, though, unless you have a very strong math/stat background, or you are genius. One thing I always liked about this book, indeed, is the very honest title, ADVANCED econometrics, not "Introduction" to econometrics. This book is mostly used as part of the reading list in second-year PhD courses in cross-sectional econometrics. I don't think it would be a good choice for a first year course. But if econometrics is a serious component of your professional life you will be happy to have Amemiya around, and you will keep reaching for it, once in a while. It is a bit too techinical, difficult, and dry to be my ideal textbook, but it is outstanding nonetheless. I find the chapters on asymptotic theory and limited dependent variables particularly well written. On the minus side, it is now a relatively old book, and you will find here many obsolete technical tools, as well as the absence of many important and modern techniques. In particular, note that you will NOT find anything here about nonparametric and semiparametric techniques, panel data, time series. There are many (very short) empirical applications scattered around the book, but most of them are (necessarily, given the publication year) very very obsolete.
Overall, still a great book highly recommended for people who are into advanced econometrics. But if you want an introduction to cross-section econometrics, you may want to look at other textbooks such as Greene, Ruud, Davidson-McKinnon, Hayashi (more time-series oriented) and especially the "graduate" Wooldridge (Econometric Analysis of Cross-Section and Panel Data), which in my humble opinion is currently the very best option around.
P.S. Harvard University Press also has merit of printing Amemiya on top-quality paper and choosing a very nice format for the book. It's a pleasure to browse its pages!

Top choice
Both comprehensive and well-structured this book proves indispensable for anyone delving into the realms of econometrics. Starting from classical least squares the author guides the reader to time series analysis, gls, nonlinear simultaneous equations models up to qr and tobit models. If formulas are a necessary condition for a good study book in econometrics, the clear language of this book fulfills the sufficient condition for any book in this category.

Consice feedback.
An excellent solid GRADUATE level classic econometrics book. At this level, it is very hard to find other books having the same quality as this one. Surely one of the best in the market. Enjoy!!!