This paper examines the causal impact of diagnostic efficiency on the COVID-19 pandemic in China. Using an instrumental variable approach, we show that a 1-day decrease in the time taken to confirm the first case in a city publicly led to 9.4% and 12.7% reductions in COVID-19 prevalence and...

The large economic costs of full-blown lockdowns in response to COVID-19 outbreaks, coupled with heterogeneous mortality rates across age groups, led to question non-discriminatory containment mea- sures. In this paper we provide an assessment of the targeted approach to containment. We propose...

More than a year since the first outbreak in China in December 2019, most countries are still struggling to contain the COVID-19 pandemic. Mass antigen testing has been proposed as an instrument to mitigate the spread of the disease and allow the economy to re-open. We investigate the potential...

The goal of this piece is to survey the emerging and rapidly growing literature on the economic consequences of COVID-19 and governmental responses, and to synthetize the insights emerging from a very large number of studies. This survey (i) provides an overview of the data sets used to measure...

In this paper, we examine the short-term consequences of COVID-19 and evaluate the impacts of stay-at-home orders on employment and wages in the United States. Guided by a pre-analysis plan, we document that COVID-19 increased the unemployment rate, decreased hours of work and labor force...

Motivated by the complicated control issues of COVID-19, this article aims at investigating the optimal control of an epidemic of a Susceptible-Infective-Removed-Susceptible (SIRS) infection, where social distancing is the only control action in a first stage, whereas a combination of social...

We examine the short-term labour market effects of COVID-19 and the associated national lockdown in Australia by estimating person-fixed-effects models using the Longitudinal Labour Force Survey. COVID19 decreased labour force participation (LFP) by 2.1%, increased unemployment by 1.1% and...

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...