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

In this paper we investigate whether the forecast of the HICP components (indirect approach) improves upon the forecast of overall HICP (direct approach) and whether the aggregation of country forecasts improves upon the forecast of the euro-area as a whole, considering the four largest euro...

This study investigates the pricing behaviour of firms in the euro area on the basis of surveys conducted by nine Eurosystem national central banks, covering more than 11,000 firms. The results, robust across countries, show that firms operate in monopolistically competitive markets, where...

In this paper we analyse in a mark-up framework the pass-through of commodity price and exchange rate shocks to the main components of producer and consumer prices. Thereby we link movements in prices at the different production stages as firms set their prices as a mark-up over production...

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...

In this paper we analyse in a mark-up framework the pass-through of commodity price and exchange rate shocks to the main components of producer and consumer prices. Thereby we link movements in prices at the different production stages as firms set their prices as a mark-up over production...