Integrated epi‐econ assessment: Quantitative theory
Timo Boppart,
Karl Harmenberg,
John Hassler,
Per Krusell and
Jonna Olsson
Quantitative Economics, 2025, vol. 16, issue 1, 89-131
Abstract:
Aimed at pandemic preparedness, we construct a framework for integrated epi‐econ assessment that we believe would be useful for policymakers, especially at the early stages of a pandemic outbreak. We offer theory, calibration to micro‐, macro‐, and epi‐data, and numerical methods for quantitative policy evaluation. The model has an explicit microeconomic, market‐based structure. It highlights trade‐offs, within period and over time, associated with activities that involve both valuable social interaction and harmful disease transmission. We compare market solutions with socially optimal allocations. Our calibration to Covid‐19 implies that households shift their leisure and work activities away from social interactions. This is especially true for older individuals, who are more vulnerable to disease. The optimal allocation may or may not involve lockdown and changes the time allocations significantly across age groups. In this trade‐off, people's social leisure time becomes an important factor, aside from deaths and GDP. We finally compare optimal responses to different viruses (SARS, seasonal flu) and argue that, going forward, economic analysis ought to be an integral element behind epidemiological policy.
Date: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.3982/QE2430
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:quante:v:16:y:2025:i:1:p:89-131
Ordering information: This journal article can be ordered from
https://www.econometricsociety.org/membership
Access Statistics for this article
More articles in Quantitative Economics from Econometric Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().