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Analysis of Economic Data [Paperback]

Gary Koop
3.0 out of 5 stars  See all reviews (2 customer reviews)

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Analysis of Economic Data Analysis of Economic Data 3.0 out of 5 stars (2)
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Book Description

10 Feb 2000
Analysis of Economic Data Analysis of Economic Data teaches methods of data analysis to students whose primary interest is not in econometrics, statistics or mathematics. It shows students how to apply econometric techniques in the context of real–world empirical problems. Key features include:
∗ Adopts a largely non–mathematical approach relying on verbal and graphical intuition
∗ Covers most of the tools and models used in modern econometrics research e.g. correlation, regression and extensions for time–series methods
∗ Contains extensive use of real data examples and involves readers in hands–on computer work
∗ A disk is packaged with the book containing all data sets included in the text
Professor Koop has done a wonderful job in explaining sophisticated statistical concepts . to people with no statistical background. Kai Li, University of British Columbia The author has a real knack for getting the ideas across in a straightforward and intuitive manner . Dr Koop possesses immense technical ability along with a down–to–earth willingess to entertain a student′s perspective. Craig Heinicke, Baldwin Wallace College


Product details

  • Paperback: 238 pages
  • Publisher: John Wiley & Sons; Pap/Dskt edition (10 Feb 2000)
  • Language: English
  • ISBN-10: 0471999156
  • ISBN-13: 978-0471999157
  • Product Dimensions: 1.7 x 16.8 x 24.4 cm
  • Average Customer Review: 3.0 out of 5 stars  See all reviews (2 customer reviews)
  • Amazon Bestsellers Rank: 923,050 in Books (See Top 100 in Books)
  • See Complete Table of Contents

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Review

"The striking & highly commendable feature of the text is the intuitive approach. It is a rare textbook that can be read from cover to cover sustaining the reader ′s interest.", , , THES#

From the Back Cover

Analysis of Economic Data Analysis of Economic Data teaches methods of data analysis to students whose primary interest is not in econometrics, statistics or mathematics. It shows students how to apply econometric techniques in the context of real–world empirical problems. Key features include:
∗ Adopts a largely non–mathematical approach relying on verbal and graphical intuition
∗ Covers most of the tools and models used in modern econometrics research e.g. correlation, regression and extensions for time–series methods
∗ Contains extensive use of real data examples and involves readers in hands–on computer work
∗ A disk is packaged with the book containing all data sets included in the text
Professor Koop has done a wonderful job in explaining sophisticated statistical concepts . to people with no statistical background. Kai Li, University of British Columbia The author has a real knack for getting the ideas across in a straightforward and intuitive manner . Dr Koop possesses immense technical ability along with a down–to–earth willingess to entertain a student′s perspective. Craig Heinicke, Baldwin Wallace College

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Most Helpful Customer Reviews
1 of 1 people found the following review helpful
5.0 out of 5 stars A great book for a beginner 23 Mar 2011
By Amanda
Format:Paperback
This book was probably my best book purchase at University. It clearly explained concepts which I thought were too complicated for me to ever understand. It didn't go into too much detail which made the book an easy read. Not at any point did I feel overwhelmed.

I am a very satisfied reader. Thank you Koop!
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1 of 1 people found the following review helpful
1.0 out of 5 stars Glaring Omission of Answers 2 Jan 2011
By John
Format:Paperback
I have given only 1 star because the book does not give the answers to the many exercises and questions. The book is aimed at beginners. Is the beginner supposed to assume he got the answers right?

I agree with the other reviewers that Koop explains the statistical concepts in simple, easy-to-understand terms but I really don't think there is any excuse for omitting an appendix with the answers to questions.
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Amazon.com: 4.4 out of 5 stars  9 reviews
7 of 7 people found the following review helpful
4.0 out of 5 stars Excellent introductory text 20 April 2006
By obediah - Published on Amazon.com
Format:Paperback
This book could have also been titled "Econometrics for Dummies". Koop explains the basics of econometrics remarkably well without having to resort to complicated mathematical formulae or convoluted explanations. For neophytes looking to learn the basics of linear regression, multiple regression and time series analysis this is the perfect the text. Anyone requiring a treatment of more advanced topics (heteroscedasticity, censored regression, weighted least squares and so forth) should look to a different text. However, for any beginners to econometrics I would recommend this as a very readable and understandable introduction.
7 of 9 people found the following review helpful
5.0 out of 5 stars What a relief? Remarkable simplification of econometrics. 21 Feb 2001
By Kishor Kabse - Published on Amazon.com
Format:Paperback
I believe, econometrics has evolved into an immensely useful theory though an equally complicated one. Prior grasp on knowledge of statistics and mathematics in general is critical. If you have tried it before, you may agree that drawing accurate inferences out of substantial economic data using statistical models could be a towering task in itself. Imagine yourself [if you are not one of those expert PhD's in economics or statistics] wanting to know why some economic indicaors behave the way they do. well! pick some books on econometrics and read. I will be surprized if you did not have to refer to some other text book to understand at least some of the topics in the book you chose to read. Gary Koop has written a remarkably simple book on the subject. You will not have to read any other text book to understand what Gary wrote. In fact, you will understand econometric models much better and then hopefully understand the meaning behind relationship of economic indicators. You will start thinking like an expert. What more joy is there for an eager and ordinary reader to chose and read a book on econometrics and actually understand it well? Try to find your lost needle in a heystack and remember the happiness you got when you found it. That is what I got from Gary's extraordinary book. Thank you Gary Koop.
3 of 3 people found the following review helpful
5.0 out of 5 stars Great data analysis book for newbies 21 Jan 2008
By danae100 - Published on Amazon.com
Format:Paperback
So well articulated - it will encourage even the most Mathphobic to move through the chapters with increasing confidence and understanding. A very good foundation book for data analysis newbies. Explains a lot of econometric concepts found in academic literature with minimum jargon and good examples.
1 of 1 people found the following review helpful
5.0 out of 5 stars Excellent book for what it sets out to do and achieve 19 Nov 2009
By Bachelier - Published on Amazon.com
Format:Paperback
Gary Koop's "Analysis of Economic Data" (AED) is a welcome book to a crowded, but bifurcated field.

Too often econometrics books range from very technical, to extremely technical and therefore are of little use outside of the specialists who need to data mine at that level. Experts who need the comfort of statistical analysis on all fronts of the revelation a data set and her measures can take comfort in those texts. But most people reading this review will not need to apply Chow-tests for Type I and Type II error, for example.

On the other hand, the laughably tiny "statistical" packages offered for Excel make a weak case for analysis of data most practitioners work with. "R" is a great utility bridging the gap between specialist's texts and day-to-day application of techniques, but lacks a road-map book.

Koop's AED fills this gap. It is a technically respectable text for the working stiff with the data sets he has and the analysis he is most likely to need. Koop is straightforward that this is neither an introductory text (it is not "Econometrics for Dummies") but at the same time not a technical text like Gudjarati. In other words, this is a very good book covering most of what a data mining working stiff needs. Is everything here? No. Is most of what you need here? Yes.

Koop's AED is a good round-up for advanced data mining MBA students, most master of Science in Finance applications, and advance undergraduates in Finance and Economics. It covers data handling (and scrubbing), graphical and descriptive methods, correlation measurement and stability, simple regression, statistical characteristics of regression, multiple (including factor model) regression, dummy variables, time lags and distributed lag models, univariate time series models, stationary and non-stationary time series variable regressions, Granger causality, hypothesis testing with multiple variables, limitations and expectations, and points to watch out for. It concludes with a helpful chapter that is a workman-like treatment of how to write up empirical projects.

At the most technical, Koop covers the questionable ARCH and GARCH models of asset volatility. This is bread-and-butter for most financial econometricians, although the arguments between these techniques and fractal and stochastic volatility models is thick on the ground. Koop wisely avoids the fights.

Excellent book for what it sets out to do and achieve.
5.0 out of 5 stars Quick, Fast, and in a Hurry!! 27 May 2013
By Ira - Published on Amazon.com
Format:Paperback|Verified Purchase
My professor suggested this book! I know why! It's concise, giving the information needed to write a quality paper. The third edition covers the Johansen test for cointegration as well a the augmented Dickey-Fuller test for stationarity. These two topics will be important when working with your data.

There were more examples than I cared to work though. This isn't a bad thing though. If I ever didn't understand a topic, there was always data as well as examples to work though.

You won't be left high and dry on a subject with this book. For those willing to dig a bit deeper, most of the chapters have follow up information, calculus, and more in depth info at the end of the chapter. The author makes it clear though that none of the deeper info is required for understanding the topics covered.

This is NOT an econometrics text book full of equations and calculus. There are other books for that. This book is intended for students who do not have a background in economics that need to understand research and data analysis techniques. Hope you all enjoy it as much as I do!
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