Rapid technological progress in artificial intelligence (AI) has been predicted to lead to mass unemployment, rising inequality, and higher productivity growth through automation. In this paper we critically re-assess these predictions by (i) surveying the recent literature and (ii)...

After a number of AI-winters, AI is back with a boom. There are concerns that it will disrupt society. The immediate concern is whether labor can win a 'race against the robots' and the longer-term concern is whether an artificial general intelligence (super-intelligence) can be controlled. This...

This paper presents tentative evidence from 68,792 papers published between 1961 and 2020 that progress in the scholarly field of entrepreneurship is declining. It is found that the annual number of papers published in entrepreneurship has increased exponentially since the Second World War,...

We summarise our two sets of controlled experiments designed to see if single-sex classes within coeducational environments modify studentsf risk]taking attitudes. In Booth and Nolen (2012b), subjects are in years 10 and 11, while in Booth, Cardona]Sosa and Nolen (2014), they are...

Using the European Community Household Panel, we investigate gender differences in training participation over the period 1994-1999. We focus on ?lifelong learning?, fixed-term contracts, part-time versus full-time work, public/private sector affiliation, educational attainment, and the...

We use a quantile regression framework to investigate the degree to which work-related training affects the location, scale and shape of the conditional wage distribution. Human capital theory suggests that the percentage returns to training investments will be the same across the conditional...

Using data from the British Household Panel Survey from 1991 to 1996, the authors investigate the impact of union coverage on work-related training and how the union-training link affects wages and wage growth for a sample of full-time men. Relative to uncovered workers, union-covered men are...