This book is a collection of essays in honor of Clive Granger by some of the world's leading econometricians, all of whom have collaborated with or studied with Granger. It reflects central themes in Granger's work with attention to tests for unit roots and cointegration, tests of misspecification, forecasting models and forecasting evaluation, and non-linear and non-parametric econometric techniques.

This book brings together presentations of some of the fundamental new research that has begun to appear in the areas of dynamic structural modeling, nonlinear structural modeling, time series modeling, nonparametric inference, and chaotic attractor inference. The contents of this volume comprise the proceedings of the third of a conference series entitled International Symposia in Economic Theory and Econometrics. This conference was held at the IC; s2 (Innovation, Creativity and Capital) Institute at the University of Texas at Austin on May 22-23, l986.

This book examines the consequences of misspecifications ranging from the fundamental to the nonexistent for the interpretation of likelihood-based methods of statistical estimation and interference. Professor White first explores the underlying motivation for maximum-likelihood estimation, treats the interpretation of the maximum-likelihood estimator (MLE) for misspecified probability models and gives the conditions under which parameters of interest can be consistently estimated despite misspecification and the consequences of misspecification for hypothesis testing in estimating the...