The difficulty in modelling inflation and the significance in discovering the underlying data generating process of … inflation is expressed in an ample literature regarding inflation forecasting. In this paper we evaluate nonlinear machine … learning and econometric methodologies in forecasting the U.S. inflation based on autoregressive and structural models of the …

We provide new evidence on the relationship between inflation and its uncertainty in the U.S. on an historical basis …, covering the period 1775-2014. First, we use a bounded approach for measuring inflation uncertainty, as proposed by Chan et al … inflation and its uncertainty that varies across time and frequency. First, we show that in the medium- and long-runs, the …