The possibility of reoccurring waves of the novel coronavirus that triggered the 2020 pandemic makes it critical to identify underlying policy-relevant factors that could be leveraged to decrease future COVID-19 death rates.
Although many educational programs have demonstrated the potential to increase student learning, few examples of successful scaling exist. We study the scalability of a parent-aimed reading program that has shown promising results in an experiment within a local government.
To slow the spread of COVID-19, many countries are shutting down non-essential sectors of the economy. Older individuals have the most to gain from slowing virus diffusion. Younger workers in sectors that are shuttered have the most to lose.
Over the last 15 years, 11 states have restricted employers' access to the credit reports of job applicants.
We study individual demand for COVID-19 antibody tests in an incentivized study on a representative sample of the US population. Almost 2,000 participants trade off obtaining an at-home test kit against money. At prices close to zero, 80 percent of individuals want the test.
We derive sharp bounds on the non consumption utility component in an extended Roy model of sector selection. We interpret this non consumption utility component as a compensating wage differential.