As the pace of digitalization and automation accelerates globally, and more disruptive innovations in machine learning, artificial intelligence and robotics are expected, new data sources and measurement tools are needed to complement existing valuable statistics and administrative data. This is...

We analyze investment decisions when information is costly, with and without delegation to an agent. We use a rational-inattention model and compare it with a canonical signal-extraction model. We identify three "investment conditions". In "sour" conditions, no information is acquired and no...

This paper studies the question whether skill-biased technical change diffuses internationally and that way contributes to the increasing relative skill demand in other countries. So far, the role of skill-biased technology diffusion has hardly been studied empirically. Using new sectoral data...

Theoretical models of growth reveal that either exogenous or endogenous, technology is the main driving force behind the long-run economic growth. Furthermore, in the endogenous growth framework, diffusion of technology is the basic mechanism of per capita income convergence among countries....

This paper investigates whether the diffusion of tangible IT and CT capital and intangible capital asset types has an impact on labour demand growth and the share of labour income in total income at the industry and country level. The econometric analysis is derived from a Cobb-Douglas...

We argue theoretically and document empirically that aging leads to greater (industrial) automation, and in particular, to more intensive use and development of robots. Using US data, we document that robots substitute for middle-aged workers (those between the ages of (36 and 55). We then show...

Since 1980, economic growth in the U.S. has been fastest in its largest cities. We show that a group of skill- and information-intensive service industries are responsible for all of this new urban bias in recent growth. We then propose a simple explanation centered around the interaction of...

The economic impact of Artificial 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 represen- tative household assumption is rejected,...

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...

The economic impact of Artificial 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,...