Thanks so much ‪@gabriconti.bsky.social‬! Very excited to start this new chapter 😄

Thank you so much!!

Thank you so much for your kind words and interest!! 🙏

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For more, read my paper: www.fatimanajeeb.com/research

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Policy takeaway:
🌾 Climate adaptation must address intra-household inequalities.
👩‍🌾 Supporting diverse, resilient income opportunities for women is key to reducing vulnerability in future climate shocks.

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The link between women’s declining earnings and resource shares is clear: As women’s relative earnings fall, so does their share of household resources. Addressing this is critical for reducing vulnerabilities.

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What drives this?
Post-flood, women’s relative earnings decline by 4.5 pp within 6 months, narrowing after 4 years but not always fully recovering. Limited job flexibility for women—compared to men who transition to day labor—exacerbates the inequality.

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The material impact? After 4 years, women in flooded households have an individual-level budget of $4.7/day, compared to $7.9/day for men.
For context, the extreme poverty line is $2.15/day. These shifts push women closer to this poverty threshold while men move further from it.

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Intrahousehold gender inequalities increase with the number of floods experienced.

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Floods trigger a redistribution of household resources:
🌊Women lose ~9 pp of their resource share (compared to women in unaffected households), while men gain ~11 pp within 6 months.
🌊These shifts persist: ~7 pp lower for women & ~12 pp higher for men even 4 years later.

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Here’s the setup:
🌊Data: Household surveys (2011, 2015, 2018) + satellite-based flood data.
🌊Design: Villages with similar flood risk, differing in flood timing and exposure.
🌊Focus: Immediate (6 months post-flood) & longer-term (4 years) impacts.

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Key questions:
1️⃣ Do floods shift resources away from women (and children) towards men?
2️⃣ How persistent are these effects?
To answer, I combine structural estimation of resource shares with quasi-experimental variation in flood exposure.

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I use “resource shares”—the fraction of total household spending allocated to each member—to capture individual well-being.

Since consumption is measured typically at the household level, resource shares are not directly observed and are structurally estimated.

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I investigate how exposure to floods affects the material well-being of men, women, and children living under the same roof in the rural Bangladeshi context, revealing who bears the brunt of climate shocks.