This paper evaluates whether the level of public corruption influences COVID-19 case fatality rates. Using cross-section data, including 64 countries and multiple regression techniques, we find that the level of corruption is positively and significantly associated with COVID-19 human costs....

This paper examines the long-term impacts of growth and development monitoring in early childhood. For this purpose, we evaluate a pediatric healthcare program, the Systematic Management of Children (SMC), which offers growth and development monitoring through routine health checkups for all...

The purpose of this study is to examine the relationship between globalization, Coronavirus Disease 2019 (COVID-19) cases, and associated deaths in more than 100 countries. Our ordinary least squares multivariate regressions show that countries with higher levels of socio-economic globalization...

This study quantifies the economic impacts of SARS on the four affected Asian economies and the two most affected Chinese regions using synthetic control methods with macroeconomic and remote-sensing nightlight data. For the four affected economies (China, Hong Kong, Taiwan, and Singapore), we...

We develop a novel approach integrating epidemiological and economic models that allows databased simulations during a pandemic. We examine the economically optimal opening strategy that can be reconciled with the containment of a pandemic. The empirical evidence is based on data from Germany...

We employ a new version of the ABC macro-epidemiological agent based model presented in Delli Gatti and Reissl (2020) to evaluate the effects of vaccinations and variants on the epidemic and macroeconomic outlook. Vaccination plays the role of a mitigating factor, reducing the frequency and the...

The coronavirus disease (COVID-19) outbreak has resulted in the death of over four million people since late 2019. To reduce the human and economic costs of COVID-19, different vac-cines have been developed and distributed across countries. There has been significant cross-country variation in...

We examine the deep roots of preferences for vaccination against COVID-19, moving beyond proximate factors which can only account for part of the observable heterogeneity in the willingness to get vaccinated. Our model on experience-based learning predicts that exposure to past disruptive crises...

This paper evaluates whether the level of public corruption influences COVID-19 case fatality rates. Using cross-section data, including 64 countries and multiple regression techniques, we find that the level of corruption is positively and significantly associated with COVID-19 human costs....

We propose that crisis experience influences preferences towards COVID-19 vaccination and the speed of vaccination during the initial phase when vaccines became available. We use macro and micro data to empirically investigate our theory and introduce a novel crisis experience index. Evidence...