In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an...

While the development of scientific theories and measurement concepts has always been strongly intertwined, model-based measurements, specified as parameters in a statistical model, have been receiving increasing attention over the last decades. In this paper, we analyze the ontological and...