Synopses & Reviews
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. It adopts a largely non-mathematical 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 time-series methods. It contains extensive use of real data examples and involves readers in hands-on 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.
Synopsis
The third edition of
Analysis of Economic Data has been fully revised and updated and builds on the successes of the previous two editions
. It teaches methods of data analysis to students whose primary interest is not in econometrics, statistics or mathematics, as well as those who are facing economic data analysis for the first time. It shows students how to apply econometric techniques in the context of real-world empirical problems.
Analysis of Economic Data adopts a largely non-mathematical 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 time-series methods.
New content includes:
- More empirical examples, including more empirical project topics.
- New material on financial volatility, including ARCH and GARCH models.
- Extensive use of real data examples and involves readers in hands-on computer work.
The new edition is accompanied by a website www.wileyeurope.com/college/koop containing information for instructors and students, including datasets, PowerPoint slides, sample exam questions and answer sheets for problems in the book.
Synopsis
Econometrics is concerned with the tasks of developing and applying quantitative or statistical methods to the study and elucidation of economic principles.
Analysis of Economic Data teaches methods of data analysis to readers whose primary interest is not in econometrics, statistics or mathematics. It shows how to apply econometric techniques in the context of real-world empirical problems, and adopts a largely non-mathematical approach relying on verbal and graphical intuition. The book covers most of the tools used in modern econometrics research e.g. correlation, regression and extensions for time-series methods and contains extensive use of real data examples and involves readers in hands-on computer work.
About the Author
Gary Koop is Professor of Economics at the University of Strathclyde. He previously held professorial positions at the Universities of Toronto, Edinburgh, Glasgow and Leicester. He has also held academic posts at the University of Cambridge, the London School of Economics, Boston University and Queen's University, Canada. Gary is the associate editor of the Journal of Econometrics, Econometrics Reviews, the Journal of Empirical Finance, Studies in Nonlinear Dynamics and Econometrics and the Journal of Applied Econometrics. He is the author of: Introduction to Econometrics, Bayesian Econometrics and Analysis of Financial Data, all of which are published by Wiley.
Table of Contents
Preface to third edition.
Preface to second edition.
Preface to first edition.
Chapter 1 Introduction.
Chapter 2 Basic Data Handling.
Chapter 3 Correlation.
Chapter 4 An Introduction to Simple Regression.
Chapter 5 Statistical Aspects of Regression.
Chapter 6 Multiple Regression.
Chapter 7 Regression with Dummy Variables.
Chapter 8 Regression with Time Lags: Distributed Lag Models.
Chapter 9 Univariate Time Series Analysis.
Chapter 10 Regression with Time Series Variables.
Chapter 11 Applications of Time Series Methods in Macroeconomics and Finance.
Chapter 12 Limitations and Extensions.
Appendix A.
Appendix B.
Index.