Covid-19 caused an abrupt disruption in the world economy and posed big challenges to macroeconomic and time-series analysis. The deep trough in the business cycle was unprecedented in momentum and magnitude, was not approached smoothly, and the pandemic shock was not heralded by any warning...

The Covid-19 epidemic affected the ability of traditional forecasting models to produce reliable scenarios for the evolution of economic activity. We combine macroeconomic variables with epidemiological indicators to account for the Covid-19 shock and predict the short-term evolution of Italian...

This study analyzes high-frequency data on credit cards to identify the impact of the COVID-19 pandemic on Italian consumer transactions. Using an event study approach, it finds that during the national lockdown total transactions fell by over 50%. The decline was particularly severe in...

This paper provides an overview of how information on payments has been recently exploited by Banca d’Italia staff for the purposes of tracking economic activity and forecasting. In particular, the payment data used for this work are drawn from the payment systems managed by Banca d’Italia...

The paper assesses the performance of medium-term forecasts of euro-area GDP and inflation obtained with a DSGE model and a BVARX model currently in use at the Bank of Italy. The performance is compared with that of simple univariate models and with the Eurosystem projections; the same real time...

One of the key questions about the current economic recovery in the euro area is why the decline in unemployment recorded since the second half of 2013 has been accompanied by subdued growth in nominal wages. In this paper we adopt a Phillips curve framework to assess whether alternative...