The primary policy response to suppress the spread of COVID-19 in high-income countries has been to lock down large sections of the population. However, there is growing unease that blindly replicating these policies might inflict irreparable damage to poor households and foment social unrest in...

Using microsimulations, we nowcast the impact of learning losses caused by COVID-19 on secondary school completion rates, intergenerational mobility of education, and long-run earnings inequality in eight countries Sub-Saharan Africa. On average, secondary school completion rates decrease by 12...

I examine the short-term labor market effects of the Great Lockdown in the United States. I analyze job losses by task content (Acemoglu & Autor 2011), and show that they follow underlying trends; jobs with a high non-routine content are especially well-protected, even if they are not...

We present a Simple SIR Macro Model to study the economic impact of an epidemic in a model were agent types are unobservable. We solve for the decentralized economy equilibrium and for optimal solution (subject to the constraint that the planner cannot differentiate between agent types). We find...

Feedback control-based mitigation strategies for COVID-19 are threatened by the time span occurring before an infection is detected in official data. Such a delay also depends on behavioral, technological and procedural issues other than the incubation period. We provide a machine learning...

Identifying structural breaks in the dynamics of COVID-19 contagion is crucial to promptly assess policies and evaluate the effectiveness of lockdown measures. However, official data record infections after a critical and unpredictable delay. Moreover, people react to the health risks of the...