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Product Description
Review
"The book can be considered a sort of bible for all who need both a soft but rigorous introduction to econometrics as well as advanced econometric treatments."
Dr Houdou Basse Mama
University of Hamburg, Germany
Product Description
For first-year graduate courses in Econometrics for Social Scientists.
This title is a Pearson Global Edition. The Editorial team at Pearson has worked closely with educators around the world to include content which is especially relevant to students outside the United States.
This text serves as a bridge between an introduction to the field of econometrics and the professional literature for graduate students in the social sciences, focusing on applied econometrics and theoretical concepts.
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Most Helpful Customer Reviews
14 of 14 people found the following review helpful
Format:Paperback
Greene's text is currently the quintessential econometrics "how-to" manual on the market. Most 1st year PhD students will at some point have to work their way through Greene. He feature a wide range of techniques and methods. But as with most econometrics texts, there doesn't seem to be any overarching organization. Just several chapters featuring several different aspects of econometrics. The book by itself can be a little daunting, but is accessible to most students. Reading it in conjunction with Kennedy's Econometric text will provide an excellent introduction to the material
0 of 1 people found the following review helpful
Format:Paperback
The price is resonable, and this book is very good for theoritical econometrics. The service is good. Thank you seller!
3 of 7 people found the following review helpful
Format:Paperback
NOT very HELPFUL. It is basically impossible to learn from this book as a postgrad student if you are not very familiar with the methods presented in this book. Moreover, due to the complicated notation, you are forced to read it from the beginning if you want to fully understand Greene's explanations. Don't buy this book, but a more user-friendly book, if you are no econometrics-lecturer or, even better, a professor of econometrics.
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