This is a thorough revision of the best-selling undergraduate Econometrics text.Accessible, complete, and student-oriented, Basic Econometrics is appropriate for first courses in Econometrics at all four-year colleges and universities.In addition to a first-rate text, students have access to the SHAZY student version of SHAZAM, an inexpensive version of a widely used econometrics package, as well as data sets (free on adoption to instructors) for problem and example material in the text.
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Most Helpful Customer Reviews
19 of 20 people found the following review helpful:
3.0 out of 5 stars
A good, but quite old, introduction to econometrics book,
By Daniel Ventosa S (Marseille, France) - See all my reviews
This review is from: Basic Econometrics (Hardcover)
I used this book during my first 2 courses of econometrics during the college. Yoo'll know, after reading the first chapters, everything about the basic tool in the field, ols (this could be seen as a problem, because you spend too much time studying too many details; an economist doesn't necessarily need such knowledge and an amateur econometrist should rather begin with a more concise manual). It's an "easy-to-read" book. Every standard student (like myself) should be able to understand everything even if he is going on his own. The problem with this book is that Gujarati wrote it 15 years ago (aprox.); the way of teaching econometrics has evolved, Gujarati's not. It's true; the recent re-editions of the book include several modern topics, such as time series and an introduction to unit roots. But the way regression problems (autocorrelation, heterocedasticity, etcetera) are treated isn't perfectly actualized. A much more modern approach and, as far as I know equally simple, can be found in Johnston and Dinardo's Econometric Methods. Gujarati's is a good idea for those wishing to learn econometrics, but there are better options, such as the one I already mentioned, the Greene and the Hill/Griffiths/Judge's. This book is much better than Maddala's. In conclusion I can say this book is a good option for undergraduate students, but not the best one.
20 of 23 people found the following review helpful:
5.0 out of 5 stars
Gujarati makes econometrics perfectly clear,
By Jeff (Seattle) - See all my reviews
This review is from: Basic Econometrics (Hardcover)
As a Ph.D. student in finance I'm currently taking my first course on econometrics. Our class text is Greene's Econometric Analysis. The Greene book is great for graduate student level coverage, but when it comes to getting clear answers to my basic questions, I always reach for "Guj." He provides thorough yet highly lucid descriptions of all the key econometric topics. Also, there is a chapter on the more advanced linear algebra approach to econometrics along with good appendices to cover relevant statistics. I wouldn't try to learn econometrics without the Guj.
9 of 9 people found the following review helpful:
5.0 out of 5 stars
The ideal beginning in econometrics,
By A Customer
This review is from: Basic Econometrics (Hardcover)
This book is very comprehensive and disarmingly simple for everyone who has an idea about what economics is all about and has heard the word "statistics" before in his life. Dozens of detailed examples covering nearly every field of econometrics. Give it a try!
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First Sentence:
Part I of this text introduces single-equation regression models. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
weekly consumption expenditure, qualitative regressors, bilateral causality, cubic cost function, panel data regression models, generalized difference equation, classical normal linear regression model, lagged regressand, partial slope coefficients, classical linear regression model, pure autocorrelation, population regression function, capita personal consumption expenditure, involving time series data, following regression results, child mortality example, real retail price, response regression models, sample regression function, true slope coefficient, dummy variable trap, preceding regression, partial correlogram, various regressors, differential intercepts Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, United States, John Wiley, Monte Carlo, Economic Report of the President, Englewood Cliffs, Oxford University Press, Prentice Hall, Federal Reserve Bank, Variable Coefficient Std, Cambridge University Press, United Kingdom, Sig Sig, North Central, Sage Publications, Department of Commerce, Milton Friedman, Edward Elgar, Peter Kennedy, Journal of Econometrics, Princeton University Press, World Bank, Elements of Econometrics, Henri Theil, Carter Hill New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Part I of this text introduces single-equation regression models. Read the first page Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
weekly consumption expenditure, qualitative regressors, bilateral causality, cubic cost function, panel data regression models, generalized difference equation, classical normal linear regression model, lagged regressand, partial slope coefficients, classical linear regression model, pure autocorrelation, population regression function, capita personal consumption expenditure, involving time series data, following regression results, child mortality example, real retail price, response regression models, sample regression function, true slope coefficient, dummy variable trap, preceding regression, partial correlogram, various regressors, differential intercepts Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, United States, John Wiley, Monte Carlo, Economic Report of the President, Englewood Cliffs, Oxford University Press, Prentice Hall, Federal Reserve Bank, Variable Coefficient Std, Cambridge University Press, United Kingdom, Sig Sig, North Central, Sage Publications, Department of Commerce, Milton Friedman, Edward Elgar, Peter Kennedy, Journal of Econometrics, Princeton University Press, World Bank, Elements of Econometrics, Henri Theil, Carter Hill New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 80
books:
See all 80 books this book cites
100
books
cite this book:
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- A Guide to Econometrics - 4th Edition by Peter E. Kennedy on 11 pages
- Introduction to econometrics by Henri Theil on 8 pages
- Elements of Econometrics: Second Edition by Jan Kmenta on 8 pages
- Econometrics and Data Analysis for Developing Countries (Priorities for Development Economics) by Chandan Mukherjee on 7 pages
- Estimation and Inference in Econometrics by Russell Davidson on 7 pages
See all 80 books this book cites
- Learning and Practicing Econometrics by William E. Griffiths on 4 pages
- Modeling, Measuring and Hedging Operational Risk by Marcelo G. Cruz on page 162, page 303, and page 314
- Econometrics and Data Analysis for Developing Countries (Priorities for Development Economics) by Chandan Mukherjee in Back Matter (1), and Back Matter (2)
- Analysing and Interpreting the Yield Curve (Wiley Finance) by Moorad Choudhry on page 188, and page 300
- An Introduction to Time Series Analysis and Forecasting: With Applications of SAS® and SPSS® by Robert A. Yaffee on page 468, and page 481
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