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A comprehensive MacroEconomic uncertainty measure for the euro area and its implications to COVID-19

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  • Comunale, Mariarosaria
  • Nguyen, Anh Dinh Minh

Abstract

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 features of monetary union as well as cross-country heterogeneity. The MEU shows 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 the euro area’s industrial production, with the largest drop in the production of capital goods and durable consumer goods. Also, the effects are heterogeneous across member countries. Notably, the MEU shocks contribute significantly to the reduction of industrial production during the first wave of COVID-19, causing about 40–50 % of the decline in April 2020. Public debt increases in response to increased uncertainty. Finally, an increase in MEU negatively affects Emerging Europe countries, contributing the most to the decline in their economic activity during the COVID-19 period.

Suggested Citation

  • Comunale, Mariarosaria & Nguyen, Anh Dinh Minh, 2025. "A comprehensive MacroEconomic uncertainty measure for the euro area and its implications to COVID-19," Journal of International Money and Finance, Elsevier, vol. 157(C).
  • Handle: RePEc:eee:jimfin:v:157:y:2025:i:c:s0261560625001056
    DOI: 10.1016/j.jimonfin.2025.103370
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    Cited by:

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    2. Kamps, Christophe & Bussière, Matthieu & Niessner, Birgit & Tristani, Oreste & Christoffel, Kai & Kapadia, Sujit & Ferrero, Giuseppe & Gilbert, Niels & Vlassopoulos, Thomas & Motto, Roberto & Gerke, R, 2025. "Report on monetary policy tools, strategy and communication," Occasional Paper Series 372, European Central Bank.
    3. Georgios Chortareas & Apostolos G. Katsafados & Theodore Pelagidis & Chara Prassa, 2025. "Credit risk modelling within the euro area in the COVID‐19 period: Evidence from an ICAS framework," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 30(2), pages 1074-1105, April.

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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles

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