This paper discusses estimation of US inflation volatility using time varying parameter models, in particular whether it should be modelled as a stationary or random walk stochastic process. Specifying inflation volatility as an unbounded process, as implied by the random walk, conflicts with...

The aim of this paper is to compare inflation persistence between the New Member States (NMS) that joined the European Union in 2004 and 2007 and selected euro area members. If the levels of inflation persistence between the two groups are different, the NMS may encounter problems with...

The New Keynesian Phillips curve implies that the output gap, the deviation of the actual output from its natural level due to nominal rigidities, drives the dynamics of inflation relative to expected inflation and lagged inflation. This paper exploits the empirical success of the New Keynesian...

We apply classical econometric method to characterize the dynamic behavior of the quarter-on-quarter inflation over the period 1997q1-2010q1. In particular, we estimate univariate autoregressive (AR) models for the aggregate consumer price inflation series and as well as for the consumer price...

We use a micro-founded macroeconometric modeling framework to investigate the design of monetary policy when the central bank faces uncertainty about the true structure of the economy. We apply Bayesian methods to estimate the parameters of the baseline specification using postwar U.S. data and...

We evaluate the monetary determinants of inflation in the Czech Republic, Hungary, Poland and Slovakia by using the McCallum rule for money supply. The deviation of actual money growth from the rule is included in the estimation of Phillips curves for the four economies by Bayesian model...

This paper develops a Bayesian quantile regression model with time-varying parameters (TVPs) for forecasting inflation risks. The proposed parametric methodology bridges the empirically established benefits of TVP regressions for forecasting inflation with the ability of quantile regression to...