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...

We employ a money-based early warning model in order to analyse the risk of a low inflation regime in the euro area, Japan and the US. The model specification allows for three different inflation regimes: Low, Medium and High inflation, while state transition probabilities vary over time as a...

We contribute to the empirical debate on the role of money in monetary policy by analysing the features of the relationship between money growth and inflation in a Bayesian Markov Switching framework for a set of four countries, the US, the UK, the Euro area and Japan, over an estimation period...

We study the relationship between monetary policy and long-term rates in a structural, general equilibrium model estimated on both macro and yields data from the United States. Regime shifts in the conditional variance of productivity shocks, or "uncertainty shocks", are an important model...

We propose a multicountry quantile factor augmeneted vector autoregression (QFAVAR) to model heterogeneities both across countries and across characteristics of the distributions of macroeconomic time series. The presence of quantile factors allows for summarizing these two heterogeneities in a...

We analyse the determinants of unemployment persistence in four OECDcountries byestimating a structural Bayesian VAR with an informative priorbased on an insiders/outsiders model. We explicitly insert unemployment ben-efits and labour taxes so that our identification is not affected by the Faust...