Projecting Policy Effects with Statistical Models

Abstract

This paper attempts to briefly discuss the current frontiers in quantitative modeling for forecasting and policy analysis. It does so by summarizing some recent developments in three areas: reduced form forecasting models; theoretical models including elements of stochastic optimization; and identification. In the process, the paper tries to provide some remarks on the direction we seem to be headed.