Sir Clive W.J. Granger Model Selection

Abstract

Clive Granger proposed thick modelling as an alternative to selecting a unique model based on a given criterion, or thin modelling. This stemmed from his research on forecast combination and portfolio selection in which using just the best asset or forecast can be suboptimal in many settings. This paper proposes to integrate thick modelling into the general-to-specific model selection literature, yielding the benets of selecting a set of well-specied encompassing models while taking seriously Granger's critique of model selection. The paper argues that model uncertainty is addressed by applying selection to narrow down the class of models followed by
pooling across the retained set of close specications. An example using articial data illustrates the approach.