Introductory Econometrics

This book has taken form over several years as a result of a number of courses taught at the University of Pennsylvania and at Columbia University and a series of lectures I have given at the International Monetary Fund. This book represents a first course in econometrics, assuming only some knowledge of elementary probability theory and statistics on the part of the student. Its rigorous and comprehensive discussion concentrates on the general linear model, treating the standard case as well as the consequences resulting from violation of the underlying assumptions. Extensively documented chapters also cover the misspecification problem and errors in the variable model, simultaneous equations models and, uniquely, Multiple Comparison Test, Durbin- Watson Theory, Power Functions and Bayesian Analysis. Each chapter concludes with carefully selected exercises.