This paper investigates the importance of the age composition for pandemic policy design. To do so, it introduces an economic framework with age heterogeneity, individual choice, and incomplete information, emphasizing the value of testing. Calibrating the model to the US Covid-19 pandemic...

This paper investigates the role of testing and age-composition in the Covid-19 epidemic. We augment a standard SIR epidemiological model with individual choices regarding how much time to spend working and consuming outside the house, both of which increase the risk of transmission. Individuals...

We derive a model in which firms operate in an epidemic environment and internalize infections among their employees in the workplace. The model is calibrated to fit the properties of the Covid-19 epidemic. We show that firms have incentives to fight against infections and can do so very...

We derive a model in which firms operate in an epidemic environment and internalize infections among their employees in the workplace. The model is calibrated to fit the properties of the Covid-19 epidemic. We show that firms have incentives to fight against infections and can do so very...

This paper investigates the role of testing and age-composition in the Covid-19 epidemic. We augment a standard SIR epidemiological model with individual choices regarding how much time to spend working and consuming outside the house, both of which increase the risk of transmission. Individuals...

The prevalence and determinants of intimate partner violence (IPV) among older women are severely understudied. This paper documents that the incidence of IPV remains high at old ages and provides the first evidence of the impact of access to income on IPV for older women. We leverage a Mexican...

Suicide is a leading cause of death worldwide and a critical public health concern. We examine the hypothesis of suicide contagion within in the workplace, investigating whether exposure to a coworker's suicide increases an individual's suicide risk. Using high-quality administrative data from...