Forecasting Chilean Industrial Production and Sales with Automated Procedures

Abstract

This paper presents a rigurous framework for evaluating alternative forecasting methods for Chilean industrial production and sales. While nonlinear features appear to be important for forecasting the very short term, simple univariate linear models perform about as well for almost every forecasting horizonForecasting, Threshold, Artificial Neural Networks, Reality Check, Bootstrap.