Supervised machine learning methods, in which no error labels are present, are increasingly popular methods for identifying potential data errors. Such algorithms rely on the tenet of a 'ground truth' in the data, which in other words assumes correctness in the majority of the cases. Points...

Incorporating climate change considerations in central bank decisions has been fraught with legal and technical controversies. Legal, because interpretations of central bank mandates in relation to sustainability has been widely cited as hurdles to the discussion of climate change; and technical,...