Exponential growth bias (EGB) is the pervasive tendency of people to perceive a growth process as linear when, in fact, it is exponential. In this paper, we document that people exhibit EGB when asked to predict the number of COVID-19 positive cases in the future. The bias is positively...

Little evidence currently exists on the effects of COVID-19 on air quality in poorer countries, where most air pollution-linked deaths occur. We offer the first study that examines the pandemic's impacts on improving air quality in Vietnam, a lower-middle income country with worsening air...

When South Africa implemented its non-pharmaceutical interventions (NPIs) (its "lockdown") to stem the COVID-19 pandemic in March 2020, it was hailed as exemplary. By June 2020 however, the lockdown was in disarray: the number of confirmed infections continued to grow exponentially, placing the...

Identifying essential and frontline workers and understanding their characteristics is useful for policymakers and researchers in targeting social insurance and safety net policies in response to the COVID-19 crisis. We develop a working definition that may inform additional research and policy...

Using data from the Current Population Survey (CPS), we show that the COVID-19 pandemic led to a loss of aggregate real labor earnings of more than $250 billion between March and July 2020. By exploiting the panel structure of the CPS, we show that the decline in aggregate earnings was entirely...

Using administrative data merged with a rich student survey collected during the summer of 2020, we document the immediate and short-term educational, financial, and personal burdens of New York city's low-income public university students during the COVID-19 pandemic, the closing of college...

Social distancing requirements associated with COVID-19 have led to school closures. In April, 192 countries had closed all schools and universities, affecting more than 90 percent of the world's learners: over 1.5 billion children and young people. Closures are expected to reduce schooling and...

We propose a reweighting-estimation-transformation (RWET) approach to estimate the impacts of COVID-19 on job postings in Australia. Contrary to the commonly used aggregation-based method on counting data, our approach can be used in a relatively 'thin' market, such as Australia. In a thin...

We investigate the economic effects of the COVID-19 pandemic and the role played by credit constraints in the transmission mechanism, using a novel survey of expectations and plans of Italian firms, taken just before and after the outbreak. Most firms revise downward their expectations for...