Thanks so much βͺ@gabriconti.bsky.socialβ¬! Very excited to start this new chapter π
05.08.2025 10:22 β π 1 π 1 π¬ 0 π 0@fnajeeb.bsky.social
fatimanajeeb.com PhD Candidate at University of Maryland, College Park | On the 2024-25 job market | Applied micro, development, family, and environmental economics | Previously @WorldBank @Yale @LUMS #EconSky #EnvEcon #DevEcon
Thanks so much βͺ@gabriconti.bsky.socialβ¬! Very excited to start this new chapter π
05.08.2025 10:22 β π 1 π 1 π¬ 0 π 0
π’I am v happy to share that Fatima Najeeb has joined the G-Lab @ucleconomics.bsky.social as Research Fellow from @univofmaryland.bsky.social!
π΄She will work w/ me & E. Del Bono βͺon the @nuffieldfoundation.org project "#Menopause, #HRT & Women Well-Being"
Warm Welcome @fnajeeb.bsky.social! π₯³
Need high resolution daily air pollution data for India? We've got you. Great new work led by Ayako Kawano developing satellite+ML-based measures of PM2.5 going back decades, and using it to evaluate recent progress in improving air quality. www.science.org/doi/full/10....
27.01.2025 17:02 β π 47 π 17 π¬ 2 π 2Thank you so much!!
06.12.2024 02:16 β π 1 π 0 π¬ 0 π 0This is really good work.
05.12.2024 18:44 β π 15 π 2 π¬ 1 π 0Thank you so much for your kind words and interest!! π
05.12.2024 22:58 β π 2 π 0 π¬ 1 π 0
Best of #econtwitter & #econsky - JMPs 2024 special edition, part three
www.bestofecontwitter.com/p/best-of-ec...
Check out my blog on my #JMP, now live on @econthatmatters.bsky.social! #econsky #devecon #envecon #climatechange
05.12.2024 18:37 β π 8 π 0 π¬ 0 π 0
Floods hit some parts of the world harder than others. π
My #EconJMP uncovers how floods change resource sharing within households in one of the most flood-prone countries in the world. ππ
Read my blog on EconThatMatters: www.econthatmatters.com/2024/12/the-...
Or dive into the π§΅π:
#EconSky
Catch me here talking about international students concerns over upcoming changes to immigration policy
(I also talked a little about my universityβs lack of response so far to reassure students but that didnβt make it in.)
www.bbc.com/news/article...
It's a treat to have a paper highlighted in the NBER Digest!
Couples' choices about when to relocate offer a lens into how they value each person's career success. In both Sweden and Germany, they seem to prioritize men's careers, even when the woman has similar earning potential. bit.ly/MTO-T
Thank you for the kind words and support, Cory! I'm excited to share this work #EconSky
01.12.2024 23:13 β π 4 π 1 π¬ 1 π 0
I often show my students this visualization of how atmospheric COβ travels around the globe. Our attitude toward burning fossil fuels would change significantly if we could actually see COβ.
svs.gsfc.nasa.gov/goto?11719
12/
For more, read my paper: www.fatimanajeeb.com/research
1/
Policy takeaway:
πΎ Climate adaptation must address intra-household inequalities.
π©βπΎ Supporting diverse, resilient income opportunities for women is key to reducing vulnerability in future climate shocks.
10/
The link between womenβs declining earnings and resource shares is clear: As womenβs relative earnings fall, so does their share of household resources. Addressing this is critical for reducing vulnerabilities.
9/
What drives this?
Post-flood, womenβs relative earnings decline by 4.5 pp within 6 months, narrowing after 4 years but not always fully recovering. Limited job flexibility for womenβcompared to men who transition to day laborβexacerbates the inequality.
8/
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.
7/
Intrahousehold gender inequalities increase with the number of floods experienced.
6/
Floods trigger a redistribution of household resources:
πWomen lose ~9 pp of their resource share (compared to women in unaffected households), while men gain ~11 pp within 6 months.
πThese shifts persist: ~7 pp lower for women & ~12 pp higher for men even 4 years later.
5/
Hereβs the setup:
πData: Household surveys (2011, 2015, 2018) + satellite-based flood data.
πDesign: Villages with similar flood risk, differing in flood timing and exposure.
πFocus: Immediate (6 months post-flood) & longer-term (4 years) impacts.
4/
Key questions:
1οΈβ£ Do floods shift resources away from women (and children) towards men?
2οΈβ£ How persistent are these effects?
To answer, I combine structural estimation of resource shares with quasi-experimental variation in flood exposure.
3/
I use βresource sharesββthe fraction of total household spending allocated to each memberβto capture individual well-being.
Since consumption is measured typically at the household level, resource shares are not directly observed and are structurally estimated.
2/
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.
1/ How do climate shocks reshape lives inside households? π π
My #EconJMP explores how climate shocks can change the way household members share resources, deepening intrahousehold inequalities. This has important implications for climate resilience and policy design. #EconSky
Today's job market post by @floriangrosset.bsky.social conducts two experiments in Cote d'Ivoire to show how job take-up and retention is much higher when workers get offered a job with a friend with whom they can commute to work together blogs.worldbank.org/impactevalua...
15.11.2023 13:04 β π 13 π 4 π¬ 0 π 2