Thanks to the increasing availability of granular, yet high-dimensional, firm level data, machine learning (ML … learning (SL), the branch of ML dealing with the prediction of labelled outcomes, has been used to better predict firms …

multi-period forecasting model that is estimated under both adaptive learning and rational expectations. Term structure … neglected in the adaptive learning literature. Relative to the rational expectations version, our estimated DSGE model under … adaptive learning largely improves the model fit to the data, which include not just macroeconomic data but also the yield …

research has not examined whether individual differences in insular sensitivity predict learning to avoid aversive stimuli. In … that in addition to correlating with self-reported anxiety, heightened insular sensitivity may promote learning to avoid …