Product Description

This broadly based graduate-level textbook covers the major models and statistical tools currently used in the practice of econometrics. It examines the classical, the decision theory, and the Bayesian approaches, and contains material on single equation and simultaneous equation econometric models. Includes an extensive reference list for each topic.

Product Details

• Amazon Sales Rank: #91332 in Books
• Published on: 1985-01
• Original language: English
• Number of items: 1
• Binding: Hardcover
• 1056 pages

Customer Reviews

This was the econometrics bible but they never updated it
Judge, et al. was the standard reference in econometrics in the late 80s and early 90s. It's a terrific text because it has both theory and applications (with emphasis on the former, though). The best thing about it at the time of its publication was it was very complete, covering almost everything that was known in econometrics at the time.

Unfortunately, the book was never updated, and now nobody uses it; instead, people use the poorly written one by William Greene, which contributes to the poor education in grad-level econometrics these days. (Have you noticed that today's econometrics students, even the Ph.D. ones and even some assistant professors, don't even understand the relationship between R-squared and t-statistic? I get asked "why am I getting super-high t-statistics while my R^2 is so low?" all the time. If they had read Judge et al., they would have known the answer.)

Even though I loved this book in teh early 90s, I cannot recommend it as a reference book because it is pretty much out of date. Sure, most of the basic stuff (OLS, 2SLS, limited dependent, etc.) is the same, but people who buy a thick book like this want an up-to-date volume, and this book unfortunately does not fit the bill. It's so sad that such a comprehensive and well-written volume has totally languished into obscurity.

Precise and concise
Another review stated that Green was a clearer book than Judge et al. No way. This book starts and concludes thoughts without the constant refer to section blah blah blah found in Green. Also Judge et al. is accurate; something sorely missing in Green. Hamilton on the other hand focuses strictly on time series, and forecasting. If you want a solid reference for econometrics this is the most complete and well thought out book available.

outdated
I don't want to say too much about this book. I use it a lot. But I think what is in this book has been said so much more clearly elsewhere. I would rather attack econometrics using Greene's clarity or if I were interested in time-series, I would much rather have Hamilton. It is okay. It was a warhorse for its time. But unless you need it for a class, I think there are better references out there.