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Related Experiment Video

Updated: Aug 16, 2025

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

Modelling pandemic risks for policy analysis and forecasting.

Elena Angelini¹, Milan Damjanović¹, Matthieu Darracq Pariès¹

¹European Central Bank, DGE Forecasting and Policy Modelling division, Germany.

Economic Modelling

|December 28, 2022

Summary

Agents adapted to containment measures, mitigating economic damage from COVID-19 lockdowns. Vaccination campaigns and fiscal/monetary policies further supported economic activity during the pandemic.

Keywords:

COVID-19 ECB-BASE Epidemic Modelling

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Last Updated: Aug 16, 2025

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Predicting the Effectiveness of Population Replacement Strategy Using Mathematical Modeling

Published on: July 4, 2007

An R-Based Landscape Validation of a Competing Risk Model

An R-Based Landscape Validation of a Competing Risk Model

Published on: September 16, 2022

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Author Spotlight: Advancements in Multiplex Detection of Respiratory Viruses

Published on: November 10, 2023

Area of Science:

Economics
Epidemiology
Public Policy

Background:

The COVID-19 pandemic presented unprecedented challenges to global economies.
Understanding the interplay between public health interventions and economic outcomes is crucial.

Purpose of the Study:

To quantify the economic effects of vaccination campaigns, agent adaptation to containment measures, and fiscal/monetary policies during the COVID-19 pandemic.
To develop an integrated macro-econometric and epidemiological model for policy analysis.

Main Methods:

Augmented the European Central Bank's (ECB) macro-econometric model with an endogenous epidemiological block.
Incorporated detailed epidemiological data, vaccination campaigns, new variants, and learning effects.
Utilized an endogenous policy reaction function for containment measures to enable counterfactual simulations.

Main Results:

Agent adaptation to containment measures significantly reduced the negative macroeconomic consequences of lockdowns.
Vaccination campaigns effectively slowed infection and hospitalization rates, facilitating the easing of containment measures.
Fiscal and monetary policy interventions provided essential support to the economy, preventing a severe double-dip recession.

Conclusions:

Agent adaptation, vaccination, and supportive economic policies were critical in navigating the economic impact of the COVID-19 pandemic.
The integrated model offers a novel framework for analyzing the economic effects of epidemiological dynamics and policy responses.