We combine structural estimation with ideas from Machine Learning to estimate a model with information-based voluntary social distancing and state lockdowns to analyze the factors driving the effect of social distancing in mitigating COVID-19. The model allows us to estimate how contagious...

We provide a method to track active prevalence of COVID-19 in real time, correcting for time-varying sample selection in symptom-based testing data and incomplete tracking of recovered cases and fatalities. Our method only requires publicly available data on positive testing rates in combination...

Reducing tax evasion is a key priority for many governments, particularly in developing countries. A growing literature has argued that the ability to verify taxpayer self-reports against reports from third parties is critical for modern tax enforcement and the growth of state capacity. However,...

Reducing tax evasion is a key priority for many governments, particularly in developing countries. A growing literature has argued that the ability to verify taxpayer self-reports against reports from third parties is critical for modern tax enforcement and the growth of state capacity. However,...

Reducing tax evasion is a key priority for many governments, particularly in developing countries. A growing literature has argued that the ability to verify taxpayer self-reports against reports from third parties is critical for modern tax enforcement and the growth of state capacity. However,...