Locked-in at home: The gender difference in analyst forecasts after the COVID-19 school closures
Ontology highlight
ABSTRACT: This paper explores the shock of school closures caused by the COVID-19 pandemic to study the effect of childcare responsibilities on analyst forecasts. With manually collected data on whether analysts have children, I find that female analysts with children (mother analysts) are less likely to issue timely forecasts after school closures, compared to male analysts with children (father analysts). Mother analysts’ forecasts also become less accurate after school closures, but the negative effect only exists among forecasts for firms with relatively low institutional ownership, suggesting that mother analysts prioritize maintaining the forecast accuracy for firms that are more important to their careers. Additionally, mother analysts shift forecast release times to avoid childcare hours. My
SUBMITTER:
PROVIDER: S-EPMC10147572 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature
ACCESS DATA