Multidimensional Skills on LinkedIn Profiles: Measuring Human Capital and the Gender Skill Gap
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
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2024
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| _version_ | 1866916724259946496 |
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| author | Dorn, David Schoner, Florian Seebacher, Moritz Simon, Lisa Woessmann, Ludger |
| author_facet | Dorn, David Schoner, Florian Seebacher, Moritz Simon, Lisa Woessmann, Ludger |
| contents | 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 rationalize a substantial proportion of the gender gap in job-based earnings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2409_18638 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Multidimensional Skills on LinkedIn Profiles: Measuring Human Capital and the Gender Skill Gap Dorn, David Schoner, Florian Seebacher, Moritz Simon, Lisa Woessmann, Ludger General Economics Economics 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 rationalize a substantial proportion of the gender gap in job-based earnings. |
| title | Multidimensional Skills on LinkedIn Profiles: Measuring Human Capital and the Gender Skill Gap |
| topic | General Economics Economics |
| url | https://arxiv.org/abs/2409.18638 |