 
Analysis of Economic Data, 3rd Edition
March 2009, ©2009
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It shows students how to apply econometric techniques in the context of real-world empirical problems. The book 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.
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.
- More empirical examples, including more empirical project topics
- New material on financial volatility, including ARCH and GARCH models, making the book suitable for business and finance courses too
- Extensive use of real data examples that involve readers in hands-on computer work
- A clear departure from traditional econometric textbooks, relying less on mathematics and more on verbal intuition and graphical methods for understanding.
- 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.
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