 Locked-in at home: The gender difference in analyst forecasts after the COVID-19 school closuresJournal of Accounting and Economics, 2023, vol. 76, issue 1 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 findings imply that childcare responsibilities hurt the productivity of mother analysts more than that of father analysts, even though these women have established themselves in a competitive industry. Keywords: Analyst forecasts; Childcare responsibilities; COVID-19 school closures; Gender inequality (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:jaecon:v:76:y:2023:i:1:s0165410123000277 DOI: 10.1016/j.jacceco.2023.101603 Access Statistics for this article Journal of Accounting and Economics is currently edited by J. L. Zimmerman, S. P. Kothari, T. Z. Lys and R. L. Watts More articles in Journal of Accounting and Economics from Elsevier |
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