This paper analyses the causal relationships in regional technological systems within a structural vector autoregression (SVAR) framework. Applying a data-driven identification strategy based on Independent Component Analysis, it shows how the regional growth dynamics of economic, research,...

We investigate the causes and consequences of the aging of the scientific workforce. Using novel data on the population of US chemistry faculty members over fifty years, we find that the secular increase in the age of the academic workforce has been mainly driven by the slowdown in faculty...

The progress made by artificial intelligence (AI) worldwide has led, through the Beijing Consensus, UNESCO to recommend to governments, in 2019, to include AI in educational policies and processes. While numerous studies inventory students' and teachers' opinions on the use of AI in education...

This paper analyzes the effects of increased shared computer access in secondary schools in Peru. Administrative data are used to identify, through propensity-score matching, two groups of schools with similar observable educational inputs but different intensity in computer access. Extensive...