We assess notably how do extreme events affect the public sector efficiency of decentralized governance. Hence, we empirically link the public sector efficiency scores, to tax revenue and spending decentralization. First, we compute government spending efficiency scores via data envelopment...

We empirically analyze the effect of UN and US economic sanctions on life expectancy and its gender gap in target countries. Our sample covers 98 less developed and newly industrialized countries over the period 1977–2012. We employ a matching approach to account for the endogeneity of...

This paper studies the social and economic responses to the COVID-19 pandemic in a large sample of countries. I stress, in particular, the importance of countries' interconnections to un-derstand the spread of the virus. I estimate a Global VAR model and exploit a dataset on existing social...

We study the impact of short-term exposure to ambient air pollution on the spread and severity of COVID-19 in Germany. We combine data on county-by-day level on confirmed cases and deaths with information on local air quality and weather conditions and exploit short-term variation in the...

Macroeconomic adjustment in the euro area periphery was more recessionary than pre-crisis imbalances would have warranted. To make this claim, this paper uses a Propensity Score Matching Model to produce counterfactuals for the Eurozone crisis countries (Greece, Portugal, Ireland, Cyprus, Spain)...

Using a gravity-like approach, we study how Covid-19 deaths and lockdown policies affected countries’ imports from China during 2020. We find that a country’s own Covid-19 deaths and lockdowns significantly reduced its imports from China, suggesting that the negative demand effects prevailed...

Although international sanctions are a widely used instrument of coercion, their economic effects are still not fully understood. This study uses a novel dataset and an event study approach to evaluate the economic consequences of international sanctions, thereby accounting for pre-treatment...

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 use the US presidential election on 3 November 2020 to examine how the US president influences economic expectations of international experts. We design a large-scale RCT among 843 experts working in 107 countries, asking about their expectations regarding GDP growth, unemployment, inflation,...