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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.