A Simple Planning Problem for COVID-19 Lock-down, Testing, and Tracing
Fernando Álvarez, David Argente, Francesco Lippi
Abstract
We study the optimal lock-down for a planner who controls the fatalities of COVID-19 while minimizing the output costs of the lock-down. The policy prescribes a severe lock-down beginning a few weeks after the outbreak, covering almost 50 percent of the population after a month, with a total duration shy of 4 months. The intensity of the optimal lock-down depends on the gradient of the fatality rate with respect to the infected and the availability of antibody testing, which yields a welfare gain of 2 percent of GDP. We also study test-tracing-quarantine, which we show to be complementary to lock-down. (JEL E23, I12, I15, I18)
Topics & Concepts
Lock (firearm)Coronavirus disease 2019 (COVID-19)Contact tracingPopulationTracingEconomicsEconometricsWelfareCase fatality rateStatisticsMathematicsComputer scienceMedicineGeographyInternal medicineEnvironmental healthOperating systemArchaeologyMarket economyInfectious disease (medical specialty)DiseaseCOVID-19 epidemiological studiesCOVID-19 Pandemic ImpactsSARS-CoV-2 and COVID-19 Research