inflation and output growth. We find that some combinations are superior to the individual models for the joint and the output …. For the inflation forecasts, the DSGE models are better overall than the BVARs and the combination methods. …

-area inflation. As in a Phillips curve relationship we assume that inflation quantiles depend on past inflation, the output gap, and … distribution. Overall, the quantile regression approach describes the distribution of inflation better than a benchmark univariate … trend-cycle model with stochastic volatility, which is known to perform very well in forecasting inflation. In an out …

In general, central banks are concerned with keeping the inflation rate stable while also sustaining output close to an … efficient level. Under "inflation targeting", forecasts of the evolution of the general price level are an essential input for … policy decisions and these are usually released in quarterly "Inflation Reports". The costs and benefits of transparency in …