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Microeconometrics: Methods and Applications
 
 
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Microeconometrics: Methods and Applications [Hardcover]

A. Colin Cameron (Author), Pravin K. Trivedi (Author)
4.4 out of 5 stars  See all reviews (12 customer reviews)

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Book Description

0521848059 978-0521848053 May 9, 2005
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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Editorial Reviews

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

Book Description

This book deals with methods and models of microeconometrics, the statistical modeling of behavioral relationships based on data from sample surveys or actual or quasi-social experiments. The book is oriented to the graduate student and researcher using such data. The level of the book is post-first year PhD economics.

Product Details

  • Hardcover: 1056 pages
  • Publisher: Cambridge University Press (May 9, 2005)
  • Language: English
  • ISBN-10: 0521848059
  • ISBN-13: 978-0521848053
  • Product Dimensions: 10.3 x 7.2 x 1.7 inches
  • Shipping Weight: 3.8 pounds (View shipping rates and policies)
  • Average Customer Review: 4.4 out of 5 stars  See all reviews (12 customer reviews)
  • Amazon Best Sellers Rank: #42,445 in Books (See Top 100 in Books)

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Customer Reviews

12 Reviews
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Average Customer Review
4.4 out of 5 stars (12 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

16 of 16 people found the following review helpful:
5.0 out of 5 stars Fantastic Book for Empirical Economists, February 9, 2006
By 
Sarah Hamersma (Gainesville, FL USA) - See all my reviews
(REAL NAME)   
This review is from: Microeconometrics: Methods and Applications (Hardcover)
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.
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20 of 21 people found the following review helpful:
5.0 out of 5 stars Comprehensive Treatment of Microeconometrics, November 20, 2005
This review is from: Microeconometrics: Methods and Applications (Hardcover)
This book will probably not supercede Wooldridge as the standard text for panel and cross-sectional econometrics. However, it will prove more useful for the student and practitioner as I think this book is more practical. There is extensive coverage of data and of techniques like bootstrapping, that you will not find in Wooldridge. The sheer volume of material presented should be sufficient to get you going in just about any area you will encounter in the field. I think that this book should be used in conjunction with Wooldridge and should be a part of your library.
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4 of 4 people found the following review helpful:
4.0 out of 5 stars Microeconometrics, March 24, 2007
This review is from: Microeconometrics: Methods and Applications (Hardcover)
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.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
binary outcome models, random parameters logit model, linear panel models, corresponding sample moment conditions, more refined asymptotic theory, normal product rule, exponential conditional mean, gth equation, one endogenous regressor, postdisplacement job, propensity score estimators, index function model, asymptotic refinement, paired bootstrap, estimated asymptotic variance matrix, equicorrelated errors, scalar regressor, jumping distribution, linear panel data models, stacked instruments, potential outcome model, multiplicative effects model, strong exogeneity assumption, weaker distributional assumptions, microeconometrics applications
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Monte Carlo, Bibliographic Notes, Practical Considerations Most, Residual Figure, Sklar's Theorem, United States, Linear Regression Estimates
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