We study the impact on road safety of one-day massive speed limit monitoring operations (SLMO) accompanied by media campaigns that announce the SLMO and provide information on the dangers of speeding. Using register data on the universe of police reported accidents in a generalized...

Since the recovery from the great financial crisis in 2010, global real trade flows grew much slower than pre-crisis, in both absolute terms (growth rates) and relative terms (relative to GDP, from 2:1 in the great 1990’s to 1:1 since 2012) A debate has arisen as to whether this global trade...

This study examines the effect of religiosity on terrorism by focusing on one of the five pillars of Islam: Ramadan fasting. For identification, we exploit two facts: First, daily fasting from dawn to sunset during Ramadan is considered mandatory for most Muslims. Second, the Islamic calendar is...

We examine how trade openness influences income inequality within countries. The sample includes 139 countries over the period 1970-2014. We employ predicted openness as instrument to deal with the endogeneity of trade openness. The effect of trade openness on income inequality differs across...

We assess to which degree an international transfer mechanism can enhance consumption risk sharing as well as allocative efficiency and apply our results to the implicit transfers generated by a potential European unemployment benefit scheme (EUBS). Specifically, we first develop a simple model...

Adding to the emerging body of research related to the current coronavirus crisis, this paper studies the impact of disease epidemics on the worldwide prevalence of the shadow or the underground economy. The informal sector undermines compliance with government regulations and lowers tax...

The nexus between corruption and economic growth has been examined for a long time. Many empirical studies measured corruption by the reversed Transparency International's Perception of Corruption Index (CPI) and ignored that the CPI was not comparable over time. The CPI is comparable over time...

We use perturbation methods to derive a rule for the optimal risk-adjusted social cost of carbon (SCC) that incorporates the effects of uncertainties associated with climate and the economy from a calibrated DSGE model. We allow for different aversions to risk and intertemporal fluctuations,...