applied to quarterly and monthly US inflation in an empirical study. We find that the persistence of quarterly inflation has … and density forecasts for monthly US inflation. …

applied to quarterly and monthly US inflation in an empirical study. We find that the persistence of quarterly inflation has … and density forecasts for monthly US inflation …

Over the past two decades, U.S. core PCE goods and services inflation have evolved differently. Against the backdrop of … global concerns of low inflation, we use this trend as motivation to develop a bottom-up model of U.S. inflation. We find … that domestic forces play a larger role relative to foreign factors in influencing core services inflation, while foreign …

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 …

Recent empirical work has considered the prediction of inflation by combining the information in a large number of time … the forecasts over a large number of different models, each of which is a linear regression model that relates inflation … pseudo out-of-sample prediction of US inflation, and find that it gives more accurate forecasts than simple equal weighted …

Changing time series properties of US inflation and economic activity, measured as marginal costs, are modeled within a …. Forward and backward looking expectation components for inflation are incorporated and their relative importance is evaluated …. Survey data on expected inflation are introduced to strengthen the information in the likelihood. Use is made of simulation …

futures prices for U.S. core inflation. The proposed aggregator reduces the out-of-sample root mean squared error for 12-month …-ahead inflation forecasts of the benchmark AR(1) model by 28 percent (20 percent) for the PCE (CPI) measure of core inflation. To …

Forecasting future inflation and nowcasting contemporaneous inflation are difficult. We propose a new and parsimonious … model for nowcasting headline and core inflation in the U.S. price index for personal consumption expenditures (PCE) and the … variety of statistical benchmarks. In head-to-head comparisons, the model's nowcasts of CPI inflation outperform those from …

futures prices for U.S. core inflation. The proposed aggregator reduces the out-of-sample root mean squared error for 12-month …-ahead inflation forecasts of the benchmark AR(1) model by 28 percent (20 percent) for the PCE (CPI) measure of core inflation. To …

-indicator-based forecast pooling. The comparison is conducted using a large set of indicators for forecasting US inflation and GDP growth. We …