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.
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
264 pages, Paperback