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...

How skills acquired in vocational education and training (VET) affect wages and employment is not clear. We develop and estimate a search and matching model for workers with a VET degree. Workers differ in interpersonal, cognitive and manual skills, while firms require and value different...

Sorting of people on the labor market not only assures the most productive use of valuable skills but also generates individual utility gains if people experience an optimal match between job characteristics and their preferences. Based on individual data on subjective well-being it is possible...

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...

Using a data-driven methodology that allows to quantify the importance of different skills in performing green tasks, we estimate the green potential for 26 European countries. By green potential we mean the share of employed persons in occupations characterised by skills that are important for...

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...