Machine learning algorithms are now frequently used in sensitive contexts that substantially affect the course of human lives, such as credit lending or criminal justice. This is driven by the idea that 'objective' machines base their decisions solely on facts and remain unaffected by human...

The paper empirically examines the implementation record of international financial regulation of the banking sector. The study finds that the size of the banking sector and the presence of global systemically important banks (G-SIBs) are positively associated with a stronger implementation...

Based on the expectation that the intensified use of robots contributes to the growth of labour productivity, this paper presents estimates of Cobb-Douglas production functions, using data for 12 EU countries and 9 manufacturing industries. The empirical results for the models pooling all...