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Econometric Analysis (4th Edition) [Hardcover]

William H. Greene (Author)
4.0 out of 5 stars  See all reviews (19 customer reviews)


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Book Description

0130132977 978-0130132970 July 28, 1999 4th
For graduate-level courses in Introduction to Econometrics.A standard text/reference in courses that include basic techniques in regression analysis and extensions used when linear models prove inadequate or inappropriate. Areas of application include Economics, Sociology, Political Science, Medical Research, Transport Research, and Environmental Economics. This book introduces students to the broad field of applied econometrics. An effective bridge to both on-the-job problems and to the professional literature, it features extensive applications and presents sufficient theoretical background to enable students to recognize new variants of the models that they learn about here as merely natural extensions that fit within a common body of principles.


Editorial Reviews

From the Back Cover

An effective bridge to both on-the-job problems and to the professional literature, this volume is recognized as a standard reference on economictrics for Economics, Sociology, Political Science, Medical Research, Transport Research, Environmental Economics, etc. Featuring extensive applications and sufficient theoretical background, it surveys the broad field of applied econometrics--including basic techniques in regression analysis and some of the rich variety of models that are used when the linear model proves inadequate or inappropriate. Includes a substantive review of appropriate matrix algebra, statistical theory, and mathematical statistics. Offers a customized version of LIMDEP and a large number of sample data sets. Computation and Optimization. The Classical Multiple Linear Regression Model--Specification and Estimation. Inference and Prediction. Functional Form, Nonlinearity, and Specification. Large Sample Results and Alternative Estimators for the Classical Regression Model. Nonlinear Regression Models. Nonspherical Disturbances, Generalized Regression and GMM Estimation. Heteroscedasticity. Autocorrelated Disturbances. Models for Panel Data. Systems of Regression Equations. Simultaneous Equations Models. Regressions with Lagged Variables. Time-Series Models. Models with Discrete Dependent Variables. Limited Dependent Variable and Duration Models. A reference for analysts, consultants, and researchers in many fields.

Product Details

  • Hardcover: 1040 pages
  • Publisher: Prentice Hall; 4th edition (July 28, 1999)
  • Language: English
  • ISBN-10: 0130132977
  • ISBN-13: 978-0130132970
  • Product Dimensions: 9.3 x 7.8 x 1.7 inches
  • Shipping Weight: 3.8 pounds
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (19 customer reviews)
  • Amazon Best Sellers Rank: #83,596 in Books (See Top 100 in Books)

 

Customer Reviews

19 Reviews
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Average Customer Review
4.0 out of 5 stars (19 customer reviews)
 
 
 
 
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47 of 55 people found the following review helpful:
4.0 out of 5 stars A good book for graduate students, useful as reference book, March 29, 2001
By 
Daniel Ventosa S (Marseille, France) - See all my reviews
This review is from: Econometric Analysis (4th Edition) (Hardcover)
I bought this book in order to understand better my PhD courses. I must admit that after a few tries, I went back to Davidson and Mackinnon manual and to Hamilton's Time Series Bible. It could be seen as an intermediate level book, which is a main problem: undergraduates (except for the advanced ones) won't feel comfortable with the level of the book; applied econometrists will think perhaps that greene's book covers all the main topics but not profoundly enough (In the unit root chapter for example, the demonstration of the unit root test -Dickey-Fuller- is not present). As some of the other reviewers, I agree with the fact that, covering so many topics, the organization of the book could be improved. The mathematical tools explanation is a very clever idea; everybody lacking mathematical knowledge should read the first chapters. Some of my teachers appreciate (and I agree with them, without being an expert of that topic) particularly the panel regression chapter. I think this book fits better the graduate needs, especially those being, or wanting to be applied econometricians. If you are looking for an advanced theoretical manual, Greene's is not the best choice; if you are interested in having a -slightly more than- fairly good understanding of what is done currently in the field, then grab this book. But be aware, if you want to feel comfortably when reading it, you should be familiarized with the field. I recommend Johnston and Dinardo's Manual and Walter Ender's Manual (for time series only). Finally, it must be said that the fourth edition doesn't differ too much from the third one.
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24 of 27 people found the following review helpful:
3.0 out of 5 stars About the 4th ed.:, November 1, 1999
By A Customer
This review is from: Econometric Analysis (4th Edition) (Hardcover)
I've just bought the 4th edition. At my first glance it differs not much from the 3rd one, except: [1] a CD-ROM is attached; [2] typos have been corrected; [3] the WHOLE content is blue-printed instead of dark-printed, which I find uncomfortable (not used to) in reading it.

The rest is similar to its 3rd edition -- poor in organization, as I mentioned before. In my professor's and my views, its 2nd edition is much better.

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31 of 36 people found the following review helpful:
2.0 out of 5 stars A poor book at a rich price., May 1, 2001
By A Customer
This review is from: Econometric Analysis (4th Edition) (Hardcover)
I own many econometrics books and this is by and large the worst I had (I sold it at once after the course I HAD to buy it for, while I kept all others). It seems it covers everything while, in fact, almost all results are just presented rather than analyzed, let alone analyzed in depth. The best thing about the book is probably the table of contents, as one gets an overall idea of what econometrics deals with today. In fact, no other book aims at covering so much. Otherwise, it looks, feels and performs like an undergraduate text ...

On top of that, this edition in particular is especially bad: the blue ink stains your hands, and there are MORE typos than in the previous one. If you absolutely want to get it, buy the third edition (if you find one used).

If you want more serious general econometrics, have a look at Davidson and MacKinnon's book. If you want asymptotic theory, get White's. For time series, Hamilton's or Brockwell and Davis'.

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Inside This Book (learn more)
First Sentence:
In the first issue of Econometrica, the Econometric Society stated that its main object shall be to promote studies that aim at a unification of the theoretical-quantitative and the empirical-quantitative approach to economic problems and that are penetrated by constructive and rigorous thinking similar to that which has come to dominate the natural sciences. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
gender economics course, linearized regression model, generalized regression model, groupwise heteroscedasticity, nonlimit observations, least squares coefficient vector, classical regression model, truncated regression model, restricted least squares estimator, identical regressors, overall constant term, heteroscedastic regression model, seemingly unrelated regressions model, partitioned regression, asymptotic covariance matrix, nonstochastic regressors, maximum score estimator, tabled critical value, multiplier statistic, percent critical value, distributed disturbances, conditional moment tests, minimum variance linear unbiased estimator, heteroscedastic model, extremum estimator
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Appendix Table, Monte Carlo, Ratio Constant, United States, Variable Coefficient Standard Error, World War, Ratio Estimate Error
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