DescriptionEconometrics 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.
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.
- 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.