This paper assesses the impact of weather shocks on inflation components in the four largest euro area economies. We combine high-frequency weather data with monthly data on inflation and output growth within a set of Bayesian Vector Autoregressions which explicitly considers the seasonal...

We propose a framework to identify a rich set of structural drivers of inflation in order to understand the role of the multiple and concomitant sources of the post-pandemic inflation surge. We specify a medium-sized structural Bayesian VAR on a comprehensive set of variables for the euro area...

We propose a novel empirical structural inflation model that captures non-linear shock transmission using a Bayesian machine learning framework that combines VARs with non-linear structural factor models. Unlike traditional linear models, our approach allows for non-linear effects at all impulse...