%0 Report
        %A Dorn, David
%A Schoner, Florian
%A Seebacher, Moritz
%A Simon, Lisa
%A Woessmann, Ludger
        %T Multidimensional Skills on LinkedIn Profiles: Measuring Human Capital and the Gender Skill Gap
        %D 2025
        %8 2025 May
        %I Institute of Labor Economics (IZA)
        %C Bonn
        %7 IZA Discussion Paper
        %N 17896
        %U https://www.iza.org/publications/dp17896
        %X 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…
        %K online professional network
%K social media
%K experience
%K education
%K gender
%K human capital
%K skills
%K labor market
%K tasks
%K earnings