We present a novel approach for measuring democracy based on Support Vector Machines, a mathematical algorithm for pattern recognition. The Support Vector Machines Democracy Index (SVMDI) is continuously on the 0-1-interval and enables a very detailed measurement of democracy for 188 countries...

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,...

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...

The paper looks at the determinants of fiscal adjustments as reflected in the primary surplus of countries. Our conjecture is that governments will usually find it more attractive to pursue fiscal adjustments in a situation of relatively high growth, but based on a simple stylized model of...

The paper uses fiscal reaction functions for a panel of euro-area countries to investigate whether euro membership has reduced the responsiveness of countries to shocks in the level of inherited debt compared to the period prior to succession to the euro. While we find some evidence for such a...