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Introductory Econometrics: Using Monte Carlo Simulation with Microsoft Excel (Englisch) Gebundene Ausgabe – 26. Dezember 2005


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Pressestimmen

'Hats off to Barreto and Howland for a clearly-written text that introduces the undergraduate to data analysis and econometric techniques using Excel. The book's strength is in using Monte Carlo simulation to illustrate sampling theory and the Gauss Markov theorem. I am in total agreement with the authors that computer-based exercises help to make abstract concepts operations and meaningful. Most juniors and seniors are familiar with the basic features of Excel spreadsheets. Showing them how to use SOLVER, the DATA ANALYSIS TOOLS, and to run Monte Carlo simulations, allows an instructor to take a familiar tool (Excel) and use it to introduce undergraduates to econometrics in an intuitive and non-threatening way.' Jon M. Conrad, Cornell University

'Barreto and Howland have taken a truly innovative approach to teach undergraduate econometrics, using computer simulation methods to illustrate and clarify difficult topics. Fully integrated with Microsoft Excel, this textbook forces students to take a hands-on approach to the subject. There is no better way to learn econometrics than by doing econometrics!' Jason Abrevaya, Purdue University

'Barreto and Howland have done an excellent job of producing an introductory econometric textbook based on Excel software combined with a well written and applied intuitive approach to econometrics. In my opinion, their teaching philosophy is absolutely the correct method: Put the student in front of a computer and teach econometrics by doing econometrics.' Daniel V. Gordon, University of Calgary

'The authors wrote a textbook on introductory econometrics which is different from most textbooks by using Monte Carlo simulation with Microsoft Excel. The book is written for undergraduate students in econometrics who should not be explicitly confronted with formal mathematics but instead with visual explanations of abstract ideas.' Zentralblatt MATH

Über das Produkt

This highly accessible and innovative textbook with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. The web site support can be found at www.wabash.edu/econometrics.

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Amazon.com: HASH(0x975b0bc4) von 5 Sternen 11 Rezensionen
34 von 34 Kunden fanden die folgende Rezension hilfreich
HASH(0x975b47c8) von 5 Sternen Blows Away All Other Intro Texts 30. Mai 2006
Von Stephen J. Zierak - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
I am only half finished with this book, but since there is only one other review, I want to get my thoughts up NOW. I may add to them when I have finished.

My wife is an econ major at a small school with very few econ majors. Econometrics is not offered as a course. Although as a practical businessman with a preference for Austrian school economic theory I have a healthy scepticism about quantitative macroeconomic (especially) formulas, I have told my wife that she can not be a part of today's theoretical discussions without a basic understanding of econometrics. I promised to help her self-study this topic, and have reviewed a number of supposedly "introductory" texts (to remain nameless, but they are standards)that have lost me within 50 pages. Neither my wife nor I have calculus or matrix algebra. However, even those texts that say they do not rely on such math knowledge are still confusing. Until now.

Barreto's text is a wonder. The other review gives solid examples of why this is. Let me just say that you will be able to see econometric principles in action. The explanations are incredibly clear, and the work on the beefed up excel spreadsheets effectively demonstrates those explanations. I know this will be difficult to believe, but the text is actually fun to read. My wife and I both have college algebra, business statistics, and basic excel. That's all you need to use this book.

Every university should adopt this book as the intro econometrics text. It provides an approach to learning the topic that is accessible to any intelligent econ student. Those going on to PhD work could supplement with calculus, matrix algebra, and one of the other so-called intro texts. Barreto provides a way for normal econ students to understand econometrics, something that all econ students should be required to do. (Even though much of econometrics is nonsense, knowledge of its applications and mis-applications is still the ticket to being taken seriously in economic debate.)

I only wish I could give this book more than 5 stars. It is a stunning achievement.
10 von 12 Kunden fanden die folgende Rezension hilfreich
HASH(0x975b481c) von 5 Sternen Excellent book for practitioners 10. März 2008
Von Mr. Mariusz Siomak - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
Excellent book for everybody who would like to understand statistics and econometrics. It concentrates on regression and Monte Carlo simulation. I see the biggest value of the book in the way the statistical concepts are introduced. The authors build the intuition of the reader using meaningful examples, explaining thoroughly all the concepts and using Monte Carlo simulations to visualize them. Simulations are used as a tool for estimating parameters, but also support the reader's intuition and visualize the stochastic variables, their distributions, the role of chance in statistical inference, hypothesis testing etc. The examples in the book are not just illustration of the text, they are meant to open reader's eyes to some unexpected / counterintuitive features, that are difficult to capture just by studying the theory.
3 von 3 Kunden fanden die folgende Rezension hilfreich
HASH(0x975b4c54) von 5 Sternen Excellent for beginners 16. Juni 2011
Von Grouchy Smurf - Veröffentlicht auf Amazon.com
Format: Kindle Edition Verifizierter Kauf
As an academic with little background in economics who constantly struggled with advanced techniques, over the years I have tried several econometrics textbooks. Every book has its strengths, but of all books I have been exposed to, I thought this one had the clearest exposition. Concepts are explained well, and the Monte Carlo approach helps tremendously in grasping the underpinning concepts. Things I liked about this book in general:
* It clearly distinguishes between descriptive and inferential statistics - between describing and summarizing data, and drawing inferences from that data.
* Use of Excel sheets to try things out and "see" many things for yourself (for example, see how the least squares achieves best fit to the data).
* It uses real data on economic indicators, such as data on labor markets.
* It minimizes use of matrix algebra or calculus. Mathematical proofs etc. are pushed into appendices at the end of chapters, which can be skipped without loss of continuity.
Things I did not like:
* You have to wait until Chapter 10 in order to get to statistical inference. The first 200 pages is all about summarizing and interpreting patterns in data.
* The book requires you to constantly switch between Excel sheets and the book itself. As a result, every chapter takes longer to finish. Sometimes you have to work on more than one worksheet within a chapter, which adds to this difficulty.
* Excel is not a statistics program and can be cumbersome. Moreover, if the student is to take more advanced courses, Excel will not be enough for him/her.

I think overall the pros far outweigh the cons. I would suggest this book to students who want to grasp the basics well before moving on to more advanced courses; to graduate students outside economics who want to get a good understanding of ordinary least squares (OLS) regression and its assumptions, and to practitioners who want to have a working knowledge of OLS and its limitations. The book would be too introductory for graduate economics students in my opinion. But if you are lost in your `standard' econometrics textbook as an undergraduate, this book may save you. Finally, as with any other textbook, I would pair this book with "A Guide to Econometrics" by Kennedy, which is an excellent supplement.
3 von 4 Kunden fanden die folgende Rezension hilfreich
HASH(0x975b4c3c) von 5 Sternen Big On Concepts 12. September 2008
Von Warren C. Chisler - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
I give this book such a high score because it really does a great job at presenting the concepts. I know many people who attempt to perform a regression analysis, but have no understanding of what it is they are doing. This book does a great job at presenting what is going on and the effect data generations procresses have on the regression estimate. This book does not provide the detailed mathematics, but who cares. That can be picked from another book on linear modeling. All in all, this book is a good place to start when learning linear modeling.
1 von 1 Kunden fanden die folgende Rezension hilfreich
HASH(0x975b6120) von 5 Sternen Innovative Approach to Teaching Statistics 30. April 2011
Von Douglas Gabbard - Veröffentlicht auf Amazon.com
Format: Gebundene Ausgabe
This book is a perfect introduction to econometrics for practitioners who may be short on foundational theory but know how to use Microsoft Excel. The approach is not traditional, but it is plenty rigorous--a fact that might be disguised by the excellent writing. I recommend this book as a thorough yet accessible resource for self-study.
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