A large literature on persistence finds that many modern outcomes strongly reflect characteristics of the same places in the distant past. These studies typically combine unusually high t statistics with severe spatial autocorrelation in residuals, suggesting that some findings may be artefacts...

Statistical methods of spatial analysis are often successful at either prediction or explanation, but not necessarily both. In a recent paper, Dearmon and Smith (2016) showed that by combining Gaussian Process Regression (GPR) with Bayesian Model Averaging (BMA), a modeling framework could be...

Small Area Estimation erlaubt die Schätzung regionaler Indikatoren anhand kleiner Stichproben. Hierfür werden Survey-Daten mehrerer Regionen in statistischen Modellen kombiniert. Aufgrund der Digitalisierung der Gesellschaft entstehen immer mehr zusätzliche Datenquellen, wie etwa Website- und...