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A Guide to Modern Econometrics
 
 
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A Guide to Modern Econometrics [Paperback]

Marno Verbeek (Author)
4.1 out of 5 stars  See all reviews (9 customer reviews)

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Book Description

0470517697 978-0470517697 May 27, 2008 3
This highly successful text focuses on exploring alternative techniques, combined with a practical emphasis, A guide to alternative techniques with the emphasis on the intuition behind the approaches and their practical reference, this new edition builds on the strengths of the second edition and brings the text completely up-to-date.

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Editorial Reviews

From the Back Cover

A Guide to Modern Econometrics has become established as a highly successful textbook. It serves as a guide to alternative techniques in econometrics with an emphasis on the practical application of these approaches.

A guide to Modern Econometrics, third edition features:

  • Up-to-date references in line with current literature on the subjects.
  • New material on panel data and pseudo panels.
  • Improved exposition of tough subjects, like multicollinearity and instrumental variables.
  • Increased focus on robust inference.
  • New empirical illustrations including panel data, discrete choice models and the linear model as a forecasting tool.
  • New supplementary material including PowerPoint slides for lecturers, data sets and solutions to selected exercises in each chapter, can be found at www.wileyeurope.com/college/verbeek

About the Author

Marno Verbeek is Professor of Finance at the Rotterdam School of Management and the Econometric Institute of Erasmus University, Rotterdam. He held previous positions at KU Leuven and Tilburg University, and visiting appointments at Trinity College Dublin and Université Panthéon-Assas Paris II. He has published in a wide variety of international journals.

Product Details

  • Paperback: 488 pages
  • Publisher: Wiley; 3 edition (May 27, 2008)
  • Language: English
  • ISBN-10: 0470517697
  • ISBN-13: 978-0470517697
  • Product Dimensions: 6.7 x 1 x 9.6 inches
  • Shipping Weight: 1.6 pounds (View shipping rates and policies)
  • Average Customer Review: 4.1 out of 5 stars  See all reviews (9 customer reviews)
  • Amazon Best Sellers Rank: #170,246 in Books (See Top 100 in Books)

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Customer Reviews

9 Reviews
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Average Customer Review
4.1 out of 5 stars (9 customer reviews)
 
 
 
 
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Most Helpful Customer Reviews

33 of 35 people found the following review helpful:
5.0 out of 5 stars Econometrics Explained, October 22, 2000
By A Customer
I'm an econ grad student - and I'm always looking for books that give me insight on econometrics. This book does precisely that! Verbeek writes econometrics like others write novels, he develops the models clearly and logically. This book should be used in graduate and undergraduate programs everywhere. It's also good for the practicing economist who wants to brush up on econometrics. It's hard to find a text that offers this much intuition and still gives a good solid mathematical treatment of the subject. I've also used the standard "kennedy" book (too simplified), the Greene's textbook - technically thorough but doesn't do much for intuitive understanding - Verbeek's book is much more readable and useful in my opinion.
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22 of 22 people found the following review helpful:
5.0 out of 5 stars Nice balance between proofs and intuition., July 31, 2001
By A Customer
The strength of this book lies in the nice balance between mathematics and intuition. Although Wooldridge is easier to understand and better in the intuition department, he doesn't prepare you as well as Verbeek for what is yet to come: books like Econometric Analysis by Greene or Econometric Society Monographs. Verbeek uses much of the language found in scientific articles and more advanced works, without making the explanations unneccesary difficult.

If your goal is, however, not to go much deeper than introductory econometrics, then do yourself a favour and buy Introductory Econometrics by Wooldridge.

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9 of 10 people found the following review helpful:
5.0 out of 5 stars Just the Best!, November 12, 2006
I used to think that the book written by Davidson & Mackinnon (2004) is the best graduate book in econometrics. After reading this book, however, I changed my mind. This book is better for a number of reasons. First, it covers standard material (rather than non-standard one such as the geometry of OLS, artificial regressions, etc); this tailors to the need of most readers. Second, it covers OLS quickly and moves on to alternative estimators (rather than spending two chapters on hypothesis testing and confidence intervals, which is quite redundant). Third, it derives an estimator in a formal way (i.e. optimizing a particular objective function rather using the informal method of moment). Fourth, it complements econometric methods with empirical examples (rather than discussing econometric methods alone); this facilitates reader's understanding. Finally, its exposition is crystally clear (Bravo!).

One critique: An ideal graduate text should contain enough material for two semesters. However, this book is too short for two semesters but too long for one semester. So, I would suggest that he add two things. First, please expand the material on GMM and compare it to OLS as the organizing theme. Second, please add the material on bootstrap and Monte Carlo methods.
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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
binary choice models, models with limited dependent variables, balanced subpanel, generalized instrumental variables estimator, genuine panel data, individual wage equation, standard tobit model, optimal weighting matrix, panel data unit root tests, expected wage differential, random effects probit model, static linear model, data for this illustration, fixed effects logit model, overidentifying restrictions test, target debt ratio, truncated regression model, multiplier framework, fixed effects estimator, exact multicollinearity, multiplicative heteroskedasticity, random effects estimator, auxiliary regression, multivariate time series models, cointegrating parameter
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Variable Estimate Standard, Monte Carlo, Exercises Exercise, Oxford University Press, Individual Wages, Variable Alcoholic, Security Prices, National Longitudinal Survey, Industry Food Durables Construction
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