Suchergebnisse

The rapid spread of COVID-19 forced policy-makers to swiftly find solutions to reduce infection rates and keep mortality as low as possible. Empirical analyses on the effectiveness of control measures are hereby of primary importance. School closures were among the earliest measures enacted by the governments of most countries. However, while schools are now reopening in many countries, the impact of school closures on the course of the epidemic is still an open question. Adopting parametric and non-parametric synthetic control methods we estimate the effectiveness of pro-active school closures, and other early social distancing interventions, in three countries that reacted relatively early during the course of the pandemic. Our findings suggest that these interventions were effective at reducing the mortality rate of COVID-19, especially when enacted early.

The rapid spread of COVID-19 forced policy-makers to swiftly find solutions to reduce infection rates and keep mortality as low as possible. Empirical analyses on the effectiveness of control measures are hereby of primary importance. School closures were among the earliest measures enacted by the governments of most countries. However, while schools are now reopening in many countries, the impact of school closures on the course of the epidemic is still an open question. Adopting parametric and non-parametric synthetic control methods we estimate the effectiveness of pro-active school closures, and other early social distancing interventions, in three countries that reacted relatively early during the course of the pandemic. Our findings suggest that these interventions were effective at reducing the mortality rate of COVID-19, especially when enacted early.

The rapid spread of COVID-19 forced policy-makers to swiftly find solutions to reduce infection rates and keep mortality as low as possible. Empirical analyses on the effectiveness of control measures are hereby of primary importance. School closures were among the earliest measures enacted by the governments of most countries. However, while schools are now reopening in many countries, the impact of school closures on the course of the epidemic is still an open question. Adopting parametric and non-parametric synthetic control methods we estimate the effectiveness of pro-active school closures, and other early social distancing interventions, in three countries that reacted relatively early during the course of the pandemic. Our findings suggest that these interventions were effective at reducing the mortality rate of COVID-19, especially when enacted early. ; Centro de Estudios Distributivos, Laborales y Sociales

We analyze the effects of governmental redistribution of income on migration patterns,using an Italian administrative dataset that includes information on almost every Italian citizen living abroad. Since Italy takes a middle ground in terms of redistribution, both the welfare-magnet effect from more redistributive countries and the propensity of the high-skilled to settle in countries with lower taxes can be empirically studied. Our findings confirm the hypothesis that destination countries with more redistribution receive a negative selection of Italian migrants. This holds true after accounting for many individual and country level covariates, migration costs, and when testing for stochastic dominance of the skill distributions of migrants and stayers. Policy simulations are run in order to gauge the magnitude of these migration effects. Based on estimated elasticities, we find that sizable increases in the amount of redistribution in Italy have small effects on the skill composition of the resident population.