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| Hauptverfasser: | , , , , |
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| Format: | Preprint |
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2025
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| Online-Zugang: | https://arxiv.org/abs/2509.14422 |
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| _version_ | 1866916955572666368 |
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| author | Menta, Giorgia Biroli, Pietro Mehta, Divya D'Ambrosio, Conchita Cobb-Clark, Deborah |
| author_facet | Menta, Giorgia Biroli, Pietro Mehta, Divya D'Ambrosio, Conchita Cobb-Clark, Deborah |
| contents | Epigenetics is the study of how people's behavior and environments influence the way their genes are expressed, even though their DNA sequence is itself unchanged. By aggregating age-related epigenetic markers, epigenetic 'clocks' have become the leading tool for studying biological aging. We make an important contribution by developing a novel, integrated measure of epigenetic aging--the Multi EpiGenetic Age (MEGA) clock--which combines several existing epigenetic clocks to reduce measurement error and improve estimation efficiency. We use the MEGA clock in three empirical contexts to show that: i) accelerated epigenetic aging in adolescence is associated with worse educational, mental-health, and labor market outcomes in early adulthood; ii) exposure to child maltreatment before adolescence is associated with half a year higher epigenetic aging; and iii) that entering school one year later accelerates epigenetic aging by age seven, particularly among disadvantaged children. The MEGA clock is robust to alternative methods for constructing it, providing a flexible and interpretable approach for incorporating epigenetic data into a wide variety of settings. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_14422 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Aggregating Epigenetic Clocks to Study Human Capital Formation Menta, Giorgia Biroli, Pietro Mehta, Divya D'Ambrosio, Conchita Cobb-Clark, Deborah General Economics Economics Epigenetics is the study of how people's behavior and environments influence the way their genes are expressed, even though their DNA sequence is itself unchanged. By aggregating age-related epigenetic markers, epigenetic 'clocks' have become the leading tool for studying biological aging. We make an important contribution by developing a novel, integrated measure of epigenetic aging--the Multi EpiGenetic Age (MEGA) clock--which combines several existing epigenetic clocks to reduce measurement error and improve estimation efficiency. We use the MEGA clock in three empirical contexts to show that: i) accelerated epigenetic aging in adolescence is associated with worse educational, mental-health, and labor market outcomes in early adulthood; ii) exposure to child maltreatment before adolescence is associated with half a year higher epigenetic aging; and iii) that entering school one year later accelerates epigenetic aging by age seven, particularly among disadvantaged children. The MEGA clock is robust to alternative methods for constructing it, providing a flexible and interpretable approach for incorporating epigenetic data into a wide variety of settings. |
| title | Aggregating Epigenetic Clocks to Study Human Capital Formation |
| topic | General Economics Economics |
| url | https://arxiv.org/abs/2509.14422 |