the observed time series. We develop a simulated maximum likelihood estimation method based on importance sampling and … 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. …

the Phillips curve over time. We consider different specifications and different measures for inflation. Furthermore, we … include stochastic volatility for the observation errors. Our estimation results are based on practical Bayesian state space ….S. headline inflation has remained empirically relevant over the years. …

This paper investigates the international spillovers of government debt and the associated risk of inflation within a … inflation at the cost of the funded country. In response to these conflicting interests about inflation, inflation risk may rise … with the level of debt in the PAYG country. Higher inflation risk harms both countries. Actually, in contrast to the debt …

We investigate changes in the time series characteristics of postwar U.S. inflation. In a model-based analysis the … conditional mean of inflation is specified by a long memory autoregressive fractionally integrated moving average process and the … efficient estimates of the parameters using a monthly dataset of core inflation for which we consider different subsamples of …

considered for themodelling of economic time series. The focus of this paper is on thesimultaneous estimation of parameters … concerned with themodelling and forecasting of two U.S. macroeconomic time series:inflation and industrial production. …

, inflation, and bond spread. We empirically identify a time-varying linkage between economic and financial variables which are … effects of financial shocks on output and inflation during crisis and non-crisis periods. …