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...

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...

How shifts in the economic leadership between countries can occur has been widely debated not only since the recent catch up of China in several sectors. However, there is no adequate theoretical model analyzing this question in the light of trade liberalization. This paper is the first one to...

This paper extends the firm heterogeneity model of Melitz (2003) by introducing a new concept of endegenous investments in process R&D. The novelty is that if a firm invests more R&D its expected innovation return hazard rate stochastically dominates the return of less R&D investments. Due to...

This paper extends the firm heterogeneity model of Melitz (2003) by introducing a new concept of endogenous investments in process R&D. The novelty is that if a firm invests more in R&D its expected innovation return hazard rate stochastically dominates the return of less R&D investments. Due to...

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...

We use a data-driven methodology to quantify the importance of different skills in performing green tasks. For Switzerland, we estimate the green potential to be 16.7% of the total of employed persons and 18.8% of full-time equivalents in 2017, respectively. Employed persons in jobs with high...