We present a new aggregation method - called SVM algorithm - and use this technique to produce novel measures of democracy (186 countries, 1960-2014). The method takes its name from a machine learning technique for pattern recognition and has three notable features: it makes functional...

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 show that culture and diversity strongly influence welfare systems around the globe. To disentangle culture from institutions, we employ regional instruments as well as data on the prevalence of the pathogen Toxoplasma Gondii, linguistic differences, and the frequency of blood types. The...