Modelling pandemic risks for policy analysis and forecasting

C-Tier
Journal: Economic Modeling
Year: 2023
Volume: 120
Issue: C

Authors (4)

Angelini, Elena (not in RePEc) Damjanović, Milan (not in RePEc) Darracq Pariès, Matthieu (European Central Bank) Zimic, Srečko (not in RePEc)

Score contribution per author:

0.251 = (α=2.01 / 4 authors) × 0.5x C-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

What were the economic effects of vaccination campaign, agents’ adaptation to containment measures, and fiscal and monetary measures during the COVID-19 pandemic? To quantify these effects, we augment the ECB’s macro-econometric model with an endogenous epidemiological block, providing one of the first institutional policy models with epidemiological elements. The model tracks closely actual pandemic developments by relying on detailed epidemiological data and by nesting a wide range of features, including vaccination campaigns, emergence of new variants and learning effects. Importantly, it includes an endogenous policy reaction function for containment measures, allowing counterfactual simulations. Our simulation results show that: (i) agents’ adaptation to containment measures over time was key in reducing negative macroeconomic consequences of lockdowns, (ii) the vaccination campaign slowed down infection rates and hospitalizations, enabling a relaxation of containment measures and avoiding a sharp double dip in economic activity and (iii) complementary fiscal and monetary policy interventions provided support to the economy.

Technical Details

RePEc Handle
repec:eee:ecmode:v:120:y:2023:i:c:s0264999322003996
Journal Field
General
Author Count
4
Added to Database
2026-01-25