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 Autore-gressions which explicitly considers the seasonal...

We introduce a Bayesian Mixed-Frequency VAR model for the aggregate euro area labour market that features a structural identification via sign restrictions. The purpose of this paper is twofold: we aim at (i) providing reliable and timely forecasts of key labour market variables and (ii)...

We introduce a Bayesian Mixed-Frequency VAR model for the aggregate euro area labour market that features a structural identification via sign restrictions. The purpose of this paper is twofold: we aim at (i) providing reliable and timely forecasts of key labour market variables and (ii)...

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...

To assess the resilience of India's corporate sector against COVID-19-related shocks, we conducted a series of stress tests using firm-level corporate balance sheet data. The results reveal a differential impact across sectors, with the most severe impact on contact-intensive services,...

To assess the resilience of India’s corporate sector against COVID-19-related shocks, we conducted a series of stress tests using firm-level corporate balance sheet data. The results reveal a differential impact across sectors, with the most severe impact on contact-intensive services,...