We use a data-driven approach to predict the "green potential" of ISCO occupations based on their corresponding skills. This information allows us to investigate the relationship between environmental regulations and occupation-level employment in the manufacturing sector of 19 European...

We use a data-driven approach to predict the "green potential" of ISCO occupations based on their corresponding skills. This information allows us to investigate the relationship between environmental regulations and occupation-level employment in the manufacturing sector of 19 European...

In this paper, we use a data-driven approach to predict the "green potential" of ISCO occupations based on their corresponding skills. With this information, we can investigate the relationship between environmental regulations and occupation-level employment in the manufacturing sector of 19...

This paper presents a new approach to estimate the green potential of occupations. Using data from O*NET on the skills that workers possess and the tasks they carry out, we train several machine learning algorithms to predict the green potential of U.S. occupations classified according to the...

Technologies evolve at different paces and their rate of improvement varies considerably. We demonstrate that the fastest technological progress currently occurs in the digital domain and empirically investigate the relationship between technologies' improvement rates and breakthrough...

Despite tremendous growth in the volume of new scientific and technological knowledge, the popular press has recently raised concerns that disruptive innovative activity is slowing. These dire prognoses were mainly driven by Park et al. (2023), a Nature publication that uses decades of data and...