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 analyze the impact of profit sharing on the share of workers receiving training. An effect is plausible because: 1) profit sharing is a credible commitment by firms to reward firm-specific skills acquired by formal or informal training, 2) profit sharing may reduce turnover and increase the...

Several firm-related aspects of employee productivity are analyzed using GSOEP data. The basic premise is that, as a consequence of frustration, overeducated employees are less productive than their correctly allocated colleagues. However, the results obtained in the present study contradict the...

Thurow?s job-competition model implies that overeducation is contingent upon the differing skill endowments of employees. As yet, only rudimentary evidence has been furnished to confirm this relationship. In the present paper, we test the theory in a more sophisticated manner, by means of a more...

The theory of differential overqualification, developed by Robert Frank (1978), claims that married women in smaller labor markets have a higher risk of working in jobs for which they are overqualified. This stems from the problem of dual job search for couples which is much more difficult to...