This book provides a rigorous introduction to the principles of econometrics and gives students
and practitioners the tools they need to effectively and accurately analyze real data.
Thoroughly updated to address the developments in the field that have occurred since the
original publication of this classic text the second edition has been expanded to include two
chapters on time series analysis and one on nonparametric methods. Discussions on covariance
(including GMM) partial identification and empirical likelihood have also been added. The
selection of topics and the level of discourse give sufficient variety so that the book can
serve as the basis for several types of courses. This book is intended for upper undergraduate
and first year graduate courses in economics and statistics and also has applications in
mathematics and some social sciences where a reasonable knowledge of matrix algebra and
probability theory is common. It is also ideally suited for practicing professionals who want
to deepen their understanding of the methods they employ. Also available for the new edition is
a solutions manual containing answers to the end-of-chapter exercises.
