Abstract
We use COVID-19 and sell-side analysts as an experiment to study the effects of gender on labor productivity. We find that the forecast accuracy of female analysts declined more than that of male analysts, especially when schools were closed and among analysts who were more likely to have young children, were inexperienced, were busier, or lived in southern states of the US. Relative to male analysts, females also reduced their forecast timeliness and resorted to more heuristic forecasts but did not reduce coverage or updating frequency. Relative to pre pandemic, female analysts’ careers were more negatively affected than male analysts’. Overall, our results show that the pandemic impacted female analysts more than males through the quality of their forecasts but not the quantity.
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2024
| Original language | English |
|---|---|
| Pages (from-to) | 1683-1715 |
| Journal | Review of Accounting Studies |
| Volume | 30 |
| Issue number | 2 |
| Online published | 27 Aug 2024 |
| DOIs | |
| Publication status | Published - Jun 2025 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 5 Gender Equality
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SDG 8 Decent Work and Economic Growth
Research Keywords
- COVID-19
- Pandemic
- Financial analysts
- Gender gap
- Decision heuristics
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