This paper surveys the theoretical approaches used in the literature to study the phenomenon of delayed graduation and university dropout. The classical human capital model does not contemplate failure, which the amended human capital model does. Delayed graduation and university dropout are two...

We consider a model of network interactions where the outcome of a unit depends on the outcomes of the connected units. We determine the key network link, i.e., the network link whose removal results in the largest reduction in the aggregate outcomes, and provide a measure that quantifies the...

In response to the outbreak of coronavirus disease 2019 (COVID-19), there have been substantial variations in policy response and performance for disease control and prevention within and across nations. It remains unclear to what extent these variations may be explained by bureaucrats'...

Elections define representative democracies, but also produce spikes in physical mobility if voters need to travel to electoral rooms. In this paper, we examine whether large-scale, in-person elections propagate the spread of COVID-19. We exploit a natural experiment from the Czech Republic...

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...

Assessing rent discounts implied by rent regulation is challenging because the counterfactual rents of regulated units in the unregulated market are not observed. We estimate these counterfactual rents and predict the quality-adjusted rent discount for each rent-stabilized unit in New York City...

This paper investigates the impact of attending early childcare on the quality of parent–child interactions and children's cognitive outcomes. My identification strategy exploits geographical differences in terms of exposure to the program, controlling for the period when the program is...

Most countries around the world implement some form of a safety net program for poor households. A widespread concern is that such programs crowd out private-sector jobs. But they could also improve workers' welfare by allowing them to take on more risk, for example through self-employment. This...

This paper investigates the impact of attending early childcare on second generation immigrant children's cognitive outcomes. Our analysis draws on administrative data on the entire population of students in fifth grade collected by the Italian Institute for the Evaluation of the Educational...

Recent studies have proposed causal machine learning (CML) methods to estimate conditional average treatment effects (CATEs). In this study, I investigate whether CML methods add value compared to conventional CATE estimators by re-evaluating Connecticut's Jobs First welfare experiment. This...