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Microeconometrics: Methods and Applications


by A. Colin Cameron
Microeconometrics: Methods and Applications
List Price: $86.00
Our Price: $60.00
Your Save: $ 26.00 ( 30% )
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Manufacturer: Cambridge University Press
Average Customer Rating: Average rating of 4.0/5Average rating of 4.0/5Average rating of 4.0/5Average rating of 4.0/5Average rating of 4.0/5

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Binding: Hardcover
Dewey Decimal Number: 338.5015195
EAN: 9780521848053
ISBN: 0521848059
Label: Cambridge University Press
Number Of Items: 1
Number Of Pages: 1056
Publication Date: 2005-05-09
Publisher: Cambridge University Press
Studio: Cambridge University Press

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Spotlight customer reviews:

Customer Rating: Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5

Summary: Amazing book for econometrics

Comment: This book is simply amazing. It describes tough problems in understandable words. It is definitely and advanced book and I recommend to read an introductory book such as Wooldridge or Gujarati first. Furthermore you will find not typically econometric yet very useful quantitative methods such as survival analysis or sampling methods in "Microeconometrics". I strongly recommend this book mainly for graduate and PhD students in quantitative methods and economics.


Customer Rating: Average rating of 3/5Average rating of 3/5Average rating of 3/5Average rating of 3/5Average rating of 3/5

Summary: Very technical, not for the faint of heart

Comment: Based on previous reviews of this item, I was expected a well-written accessible textbook. Although it has far less mathematical equations than similarily situated microeconometric texts, I do not find it accessible for the less-mathematically inclined.


Customer Rating: Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5

Summary: Microeconometrics

Comment: The book is useful for current line of microeconometric research. However, its presentation is similar to Greene (Econometrics Analysis). So if you are not comfortable with Green this text will not be best for you.


Customer Rating: Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5

Summary: An A-Z reference

Comment: If you want a book for microeconometrics such than whenever you need to look at a topic or subjects related to a topic, this is your book. If you need a very deep and comprehensive discussion about a topic, you need more than this. It may be not sufficient, but for sure it is a necessary book for anyone who does applied econometrics. I enjoy reading this book.


Customer Rating: Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5

Summary: Great Book

Comment: The book pretty much covers everything (at more than a basic level) that econometricians would ideally like to know. I think covering so much material in a single book makes it ideal!!



Editorial Reviews:

Customer Rating: Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5

Summary: Amazing book for econometrics

Comment: This book is simply amazing. It describes tough problems in understandable words. It is definitely and advanced book and I recommend to read an introductory book such as Wooldridge or Gujarati first. Furthermore you will find not typically econometric yet very useful quantitative methods such as survival analysis or sampling methods in "Microeconometrics". I strongly recommend this book mainly for graduate and PhD students in quantitative methods and economics.


Customer Rating: Average rating of 3/5Average rating of 3/5Average rating of 3/5Average rating of 3/5Average rating of 3/5

Summary: Very technical, not for the faint of heart

Comment: Based on previous reviews of this item, I was expected a well-written accessible textbook. Although it has far less mathematical equations than similarily situated microeconometric texts, I do not find it accessible for the less-mathematically inclined.


Customer Rating: Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5

Summary: Microeconometrics

Comment: The book is useful for current line of microeconometric research. However, its presentation is similar to Greene (Econometrics Analysis). So if you are not comfortable with Green this text will not be best for you.


Customer Rating: Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5Average rating of 4/5

Summary: An A-Z reference

Comment: If you want a book for microeconometrics such than whenever you need to look at a topic or subjects related to a topic, this is your book. If you need a very deep and comprehensive discussion about a topic, you need more than this. It may be not sufficient, but for sure it is a necessary book for anyone who does applied econometrics. I enjoy reading this book.


Customer Rating: Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5Average rating of 5/5

Summary: Great Book

Comment: The book pretty much covers everything (at more than a basic level) that econometricians would ideally like to know. I think covering so much material in a single book makes it ideal!!


This book provides the most comprehensive treatment to date of microeconometrics, the analysis of individual-level data on the economic behavior of individuals or firms using regression methods for cross section and panel data. The book is oriented to the practitioner. A basic understanding of the linear regression model with matrix algebra is assumed. The text can be used for a microeconometrics course, typically a second-year economics PhD course; for data-oriented applied microeconometrics field courses; and as a reference work for graduate students and applied researchers who wish to fill in gaps in their toolkit. Distinguishing features of the book include emphasis on nonlinear models and robust inference, simulation-based estimation, and problems of complex survey data. The book makes frequent use of numerical examples based on generated data to illustrate the key models and methods. More substantially, it systematically integrates into the text empirical illustrations based on seven large and exceptionally rich data sets.

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