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,...

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...

The transition from the state ownership to market mechanisms in Hungary fundamentally altered the geography of domestic micro, small, and medium enterprises (SMEs). This study investigates the spatial and temporal evolution of owner numbers, using data on all Hungarian SMEs between 1991 and 2019...