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Microeconometrics: Methods and Applications, by A. Colin Cameron, Pravin K. Trivedi
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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.
- Sales Rank: #426240 in Books
- Brand: Brand: Cambridge University Press
- Published on: 2005-05-09
- Original language: English
- Number of items: 1
- Dimensions: 9.96" h x 1.73" w x 6.97" l, 3.95 pounds
- Binding: Hardcover
- 1056 pages
- Used Book in Good Condition
Review
"This book presents an elegant and accessible treatment of the broad range of rapidly expanding topics currently being studied by microeconometricians. Thoughtful, intuitive, and careful in laying out central concepts of sophisticated econometric methodologies, it is not only an excellent textbook for students, but also an invaluable reference text for practitioners and researchers." -Cheng Hsiao, University of Southern California
"Cameron and Trivedi have written a remarkably thorough and up-to-date treatment of microeconometric methods. This is not a superficial cookbook; the early chapters carefully lay the theoretical foundations on which the authors build their discussion of methods for discrete and limited dependent variables and for analysis of longitudinal data. A distinctive feature of the book is its attention to cutting-edge topics like semiparametric regression, bootstrap methods, simulation-based estimation, and empirical likelihood estimation. A highly valuable book." -Gary Solon, University of Michigan
About the Author
A. Colin Cameron is Professor of Economics at the University of California, Davis. He currently serves as Director of that university's Center on Quantitative Social Science Research. He has also taught at the Ohio State University, and held short-term visiting positions at Indiana University at Bloomington and at a number of Australian and European universities. His research in microeconometrics has appeared in leading econometrics and economics journals. He is coauthor with Pravin Trivedi of Regression Analysis of Count Data (Econometric Society Monograph series No. 30, Cambridge University Press).
Pravin K. Trivedi is John H. Rudy Professor of Economics at Indiana University at Bloomington. He has also taught at The Australian National University and University of Southampton, and has held short term visiting positions at a number of European universities. His research in microeconometrics has appeared in most leading econometrics and health economics journals. He coauthored Regression Analysis of Count Data with Colin Cameron and is on the editorial boards of the Econometrics Journal and the Journal of Applied Econometrics.
Most helpful customer reviews
20 of 20 people found the following review helpful.
Fantastic Book for Empirical Economists
By Sarah Hamersma
I am using this text to teach a first-year graduate course in econometrics (following a mathematical stats course) at the University of Florida. Myself and my students have been very happy with the intuitive approach of the book, and I have personally appreciated the good end-of-chapter problems that I can assign to my students. This is a GREAT addition to my library and should be on the shelf of any grad student who works with data.
7 of 7 people found the following review helpful.
Microeconometrics
By Michael Nimo
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.
6 of 6 people found the following review helpful.
An A-Z reference
By Hossein A
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.
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