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 realworld empirical problems. It adopts a largely nonmathematical approach relying on verbal and graphical intuition and covers most of the tools used in modern econometrics research e.g. correlation, regression and extensions for timeseries methods. It contains extensive use of real data examples and involves readers in handson computer work. The new edition includes new material on the mathematical background required by students and, for those readers unfamiliar with this background, a brief explanation of the relevant mathematics. Topics covered include: the equation of a straight line, the summation operator, and logarithms. The author also includes a much greater discussion of data transformations such as growth rates and index numbers. More material will also be added on data sources, largely focusing on internet data sources.

Gary Koop has a very high international profile in the field of econometrics and is well known for his books and numerous journal publications.

The second edition provides stronger coverage of the relevant introductory mathematics, including: the equation of a straight line, the summation operator, and logarithms. This will make the book more accessible for those students who have limited mathematical skills.

Greater discussion is also provided of data transformations such as growth rate and index numbers. Index numbers are becoming increasingly important and are frequently used in economics courses.
 More material will also be provided on data sources, especially internet data sources which are becoming extremely important as a means of gathering data. Some students have difficulty with the collection of data and the inclusion of this material will help those students.
