We provide first evidence of the impact of over-education, among natives and immigrants, on firm-level productivity and wages. We use Belgian linked panel data and rely on the methodology from Hellerstein et al. (1999) to estimate ORU (over-, required, and under-education) equations aggregated...

We investigate the effects of two reforms of temporary employment using panel data on Italian firms. We exploit variation in their implementation across regions and sectors for identification. Our results show that the reform of apprenticeship contracts increased job turnover and induced the...

We provide first evidence regarding the direct impact of educational mismatch on firm productivity. To do so, we rely on representative linked employer-employee panel data for Belgium covering the period 1999-2006. Controlling for simultaneity issues, time-invariant unobserved workplace...

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...

Artificial Intelligence is set to influence every aspect of our lives, not least the way production is organized. AI, as a technology platform, can automate tasks previously performed by labor or create new tasks and activities in which humans can be productively employed. Recent technological...

We present a framework for understanding the effects of automation and other types of technological changes on labor demand, and use it to interpret changes in US employment over the recent past. At the center of our framework is the allocation of tasks to capital and labor – the task content...

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...

The economic impact of Articial Intelligence (AI) is studied using a (semi) endogenous growth model with two novel features. First, the task approach from labor economics is reformulated and integrated into a growth model. Second, the standard representative household assumption is rejected, so...

In "The Race between Man and Machine: Implications of Technology for Growth, Factor Shares, and Employment," Acemoglu and Restrepo (2018b) combine the task-based model of the labor market with an endogenous growth model to model the economic consequences of artificial intelligence (AI). This...

We show that U.S. manufacturing wages during the Great Depression were importantly determined by forces on firms' intensive margins. Short-run changes in work intensity and the longer-term goal of restoring full potential productivity combined to influence real wage growth. By contrast, the...