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...

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,...

Using a rich data set on the EU regions, we analyze the relevance of two possible determinants of a region's resilience to shocks, the degree of urbanization and specialization. We take the Great Recession, the economic and financial crisis that started in 2008, as our shock and then analyze how...

In explaining the uneven spatial distribution of economic activity, urban economics and new economic geography (NEG) dominate recent research in economics. A main difference between these two approaches is that NEG stresses the role of spatial linkages whereas urban economics does not do so. We...

We develop a two sector incomplete markets integrated assessment model to analyse the effectiveness of green quantitative easing (QE) in complementing fiscal policies for climate change mitigation. We model green QE through an outstanding stock of private assets held by a monetary authority and...