Goenka, Aditya, Liu, Lin and Nguyen, Manh-Hung (2021) Modeling optimal quarantines with waning immunity. TSE Working Paper, n. 21-1206, Toulouse
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Abstract
This paper studies continuing optimal quarantines (can also be interpreted as lockdowns or self-isolation) in the long run if a disease (Covid-19) is endemic and immunity can fail, i.e. the disease has SIRS dynamics. We model how the disease related mortality aects optimal choices in a dynamic general equilibrium neoclassical growth framework. An extended welfare function that incorporates loss from mortality is used. Without welfare loss from mortality, in the long run even if there is continuing mortality, it is not optimal to impose a quarantine. We characterize the optimal decision of quarantines and how the disease endemic steady state changes with eectiveness of quarantine, productivity of working from home, rate of mortality from the disease, and failure of immunity. We also give the suciency conditions for economic models with SIRS dynamics - a class of models which are non-convex and have endogenous discounting so that no existing results are applicable.
Item Type: | Monograph (Working Paper) |
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Language: | English |
Date: | May 2021 |
Place of Publication: | Toulouse |
JEL Classification: | C61 - Optimization Techniques; Programming Models; Dynamic Analysis D50 - General D63 - Equity, Justice, Inequality, and Other Normative Criteria and Measurement E13 - Neoclassical E22 - Capital; Investment (including Inventories); Capacity I10 - General I18 - Government Policy; Regulation; Public Health O41 - One, Two, and Multisector Growth Models |
Subjects: | B- ECONOMIE ET FINANCE |
Divisions: | TSE-R (Toulouse) |
Institution: | Université Toulouse 1 Capitole |
Site: | UT1 |
Date Deposited: | 06 May 2021 15:35 |
Last Modified: | 17 Oct 2022 13:21 |
OAI Identifier: | oai:tse-fr.eu:125549 |
URI: | https://publications.ut-capitole.fr/id/eprint/43484 |
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