Unified Approach: New
concepts are linked to old ones whenever possible, and the notation is consistent both
within and across chapters wherever possible.
Geometry of Ordinary Least
Squares: Introduced in Chapter 2, this method provides students with valuable intuition
and allows them to avoid a substantial amount of tedious algebra later in the text.
Modern Concepts Introduced
Early: These include the bootstrap (Chapter 4), sandwich covariance matrices (Chapter 5),
and artificial regressions (Chapter 6).
Inclusive Treatment of
Mathematics: Mathematical and statistical concepts are introduced as they are needed,
rather than isolated in appendices or introductory chapters not linked to the main body of
the text.
Advanced Topics: Among these
are models for duration and count data, estimating equations, the method of simulated
moments, methods for unbalanced panel data, a variety of unit root and cointegration
tests, conditional moment tests, nonnested hypothesis tests, kernel density regression,
and kernel regression.
Chapter Exercises: Every
chapter offers numerous exercises, all of which have been answered by the authors in the
Instructor's Manual. Particularly challenging exercises are starred and their solutions
are available at the authors' website, providing a way for instructors and interested
students to cover advanced material.
"This is the best
textbook of econometric theory to have emerged in a long while; and it deserves to find a
place on the bookshelf of every instructor. It is bound to find favour with the
students." Stephen Pollock, Queen Mary College, University of London
An excellent starting point
for graduate-level econometrics, this comprehensive, well-organized and well-written
introductory text includes all of the major topic areas of the subject, clearly explained
through concepts rather than relying on complex algebra, and carefully pitched at the
right level for students who may not already have a strong background in the subject. The
text also includes discussion of bootstrap inference in order to aid students in
understanding inference based on exact and asymptotic distributions.
Readership: Graduates in
econometric courses.
Contents
1. Regression Models
2. The Geometry of Linear
Regression
3. The Statistical
Properties of Ordinary Least Squares
4. Hypothesis Testing in
Linear Regression Models
5. Confidence Intervals
6. Nonlinear Regression
7. Generalised Least Squares
and Related Topics
8. Instrumental Variables
Estimation
9. The Generalised Method of
Moments
10.The Method of Maximum
Likelihood
11.Discrete and Limited
Dependent Variables
12.Multivariate Models
13.Methods for Stationary
Time-Series Data
14.Unit Roots and
Cointegration
15.Testing the Specification
of Econometric Models
750 pages