@techreport{bea5acb4eaf142c6803b044f9b9b896b,
title = "Aggregating Epigenetic Clocks to Study Human Capital Formation",
abstract = "Epigenetics is the study of how people{\textquoteright}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 {\textquoteleft}clocks{\textquoteright} 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 or constructing it, providing a flexible and interpretable approach for incorporating epigenetic data into a wide variety of settings.",
keywords = "epigenetic clocks, DNA methylation, child abuse, human capital, ALSPAC data",
author = "Giorgia Menta and Pietro Biroli and Divya Mehta and Conchita D'Ambrosio and \{Cobb-clark a\}, Deborah",
year = "2025",
month = oct,
day = "6",
language = "English",
series = "Working papers",
publisher = "LISER",
number = "2025-08",
address = "Luxembourg",
type = "WorkingPaper",
institution = "LISER",
}