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Analysis of Economic Data

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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
* 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

238 pages, Paperback

First published March 29, 2000

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About the author

Gary L. Koop

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Profile Image for Márk Reif.
86 reviews1 follower
February 11, 2018
I have a bachelor degree in International Studies and almost have a masters degree in International Economics, both entailed subjects about statistical analysis, yet here was I still unable to do a simple research. As I felt ashamed by my ignorance I decided to pick up this book at the publisher's sale for a great price. Best decision I made in a long time.

If you meticulously go through the book you will understand the relationship between two variables (correlation) and more than two variables (regression). The book mainly concerns these two models and their intricacies, with an emphasis on regression and time-series data. The main catch the author offers is that you don't need deep mathematical knowledge to either do or understand these kinds of operations, it can be understood logically or by common sense. He mostly delivers on this promise (sometimes the lack of maths make some explanations confusing, but this is the price to pay) so anyone can pick this up and understand it.

The explanations are clear, the exercises are on par with your understanding and help to prove the underlying concepts. The whole arch of the book is so that you gradually, without even noticing, start doing much more lifelike and interesting problems, building on the previously learnt knowledge.

If you ever need to do some research with data and don't know how this book is a great help and you don't need to stress yourself with the difficult math that makes it all work if you don't want to (although the author admits that in order to achieve full understanding, and some difficult problems will require you to pick up more comprehensive books).
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