Among the many concerns over globalization is that as nations compete for mobile firms, they will relax labour standards as a method of lowering costs and attracting investment. Using spatial estimation on panel data for 148 developing countries over 18 years, we find that the labour standards...

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...

This paper investigates the creation and integration of Artificial Intelligence (AI) patents in Europe. We create a panel of AI patents over time, mapping them into regions at the NUTS2 level. We then proceed by examining how AI is integrated into the knowledge space of each region. In...

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...