Optimally Controlling an Epidemic

Working Paper: CEPR ID: DP15541

Authors: Martin Gonzalezeiras; Dirk Niepelt

Abstract: We propose a flexible model of infectious dynamics with a single endogenous state variable and economic choices. We characterize equilibrium, optimal outcomes, static and dynamic externalities, and prove the following: (i) A lockdown generically is followed by policies to stimulate activity. (ii) Re-infection risk lowers the activity level chosen by the government early on and, for small static externalities, implies too cautious equilibrium steady-state activity. (iii) When a cure arrives deterministically, optimal policy is dis-continous, featuring a light/strict lockdown when the arrival date exceeds/falls short of a specific value. Calibrated to the ongoing COVID-19 pandemic the baseline model and a battery of robustness checks and extensions imply (iv) lockdowns for 3-4 months, with activity reductions by 25-40 percent, and (v) substantial welfare gains from optimal policy unless the government lacks instruments to stimulate activity after a lockdown.

Keywords: epidemic; lockdown; forced opening; SIR; SIS; SI; logistic model; COVID-19

JEL Codes: I18


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
Lockdowns (H76)Economic policy adjustments (E69)
Reinfection risk (Y50)Government activity level (H19)
Anticipated arrival date of a cure (C41)Optimal lockdown strictness (H21)
Optimal lockdown durations (C41)Welfare gains (D69)

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