Vector Autoregressive Techniques for Structural Analysis

Abstract

Vector Autoregressive (VAR) models which do not rely on a recursive model structure are discussed. Linkages to traditional dynamic simultaneous equations models are developed which emphasize the nature of the identifying restrictions that characterize VAR models. Explicit expressions for the Score and Information functions are derived and their role in model identification, estimation and hypothesis testing is discussed.