Author Description

This paper develops a new data-driven metric to capture MacroEconomic Uncertainty (MEU) in the euro area. The measure is constructed as the conditional volatility of the unforecastable components of a large set of time series, accounting for the monetary union as well as cross-country heterogeneity. MEU exhibits the largest spike at the time of the COVID-19 outbreak and is noticeably different from other more financial-oriented and policy-driven uncertainty measures. It also reveals a significant increase in inflation uncertainty in 2021-2022. Our BVAR-based analysis shows that an unexpected increase in the MEU has a negative and persistent impact on euro area's industrial production, accounting for 80 percent of its reduction during the first wave of COVID-19, therefore supporting the interpretation of COVID-19 shock as a macroeconomic uncertainty shock. Public debt increases in response to this uncertainty shock. Finally, an increase in MEU negatively affects Emerging Europe countries, contributing the most to the decline in their economic activity during this COVID-19 period.