@TechReport{iza:izadps:dp17896,
            	author={Dorn, David and Schoner, Florian and Seebacher, Moritz and Simon, Lisa and Woessmann, Ludger},
            	title={Multidimensional Skills on LinkedIn Profiles: Measuring Human Capital and the Gender Skill Gap},
            	year={2025},
	month={May},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={17896},
            	url={https://www.iza.org/publications/dp17896},
	abstract={We measure human capital using the self-reported skill sets of nearly 9 million U.S. college graduates from professional profiles on LinkedIn. We aggregate skill strings into 48 clusters of general, occupation-specific, and managerial skills. Multidimensional skills can account for several important labor-market patterns. First, the number and composition of skills are systematically related to measures of human-capital investment such as education and work experience. The number of skills increases with experience, and the average age-skill profile closely resembles the well-established concave age-earnings profile. Second, workers who report more skills, especially specific and managerial ones, hold higher-paid jobs. Skill differences account for more earnings variation than detailed measures of education and experience. Third, we document a sizable gender gap in skills. While women and men report nearly equal numbers of skills shortly after college graduation, women’s skill count increases more slowly with age subsequently. A simple quantitative exercise shows that women’s slower skill accumulation can be fully accounted for by reduced work hours associated with motherhood. The resulting gender differences in skills rationaliz…},
	keywords={online professional network;social media;experience;education;gender;human capital;skills;labor market;tasks;earnings},
            }