Hi #EconTwitter! I'm on the #EconJobMarket and happy to share my #JMP "The Impact of Weather Shocks on the Effectiveness of Child Marriage Bans". Laws banning child marriage often fall short outside urban areas. I show that economic shocks explain the limited impact of these bans

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A heartfelt thank you to my advisors, @EliseHuillery.and Olivia Bertelli, for their guidance! Also grateful to @CornoLucia for her advice during my research visit at @LEAPdevelopment @Unibocconi and to @Paris_Dauphine and @DialDevelopment researchers for their support!. (15/15).

Thanks for reading! I'm eager to connect with researchers and policymakers interested in #Development and #Gender. #EconJobMarket. Want to learn more about me and my research?.👩‍💻 (14/15).

#Implications: Laws alone cannot eliminate child marriage. Complementary measures—social safety nets, access to credit, insurance, and climate adaptation—are crucial to mitigate the financial pressures that drive early marriage. (13/15).

Result #3: In areas where the bride price is not practiced, bans are ineffective, and droughts do not alter their impact. Financial determinants of child marriage are less relevant in these communities, where other factors play a larger role. (12/15).

#Positive rainfall shocks enhance bans' effectiveness. (11/15)

#Droughts undermine bans effectiveness in bride price regions:. · Droughts halve the increase in the age of first marriage and first birth and nullify bans' effectiveness on child marriage likelihood and education. · The more severe the drought, the larger its effect. (10/15)

Result #2 Impact of weather shocks. In the absence of droughts, bans are effective in both rural and urban areas in regions where the bride price is historically practiced. (9/15).

Result #1 – Ban effectiveness.· In urban areas, bans reduce child marriage likelihood by 13% (3 pp) for a 1 SD increase in ban exposure.· The younger the girl, the larger the effect.· In rural areas, bans delay marriage and childbirth but fail to lower child marriage rates.(8/15)

#EmpiricalStrategy. I use a difference-in-difference approach, complemented by an event study, to exploit regional and cohort-level variations in exposure to bans (à la Card 1992 or Duflo 2001). (7/15).

#Methodology.· Study impact of exogenous income shocks, approximated by weather shocks, on the effectiveness of child marriage bans in 11 African countries.· Combine marriage information from household surveys (#DHS) with rainfall (#CHIRPS) and ethnographic (#Murdock) data.(6/15)

#BridePrice.·In Africa, vulnerable families use child marriage to cope with negative economic shocks like droughts.·They marry daughters earlier to secure the bride price paid by the groom and smooth consumption.> Legal bans may fail due to the financial cost of compliance.(5/15).

#Financial factors:. · Economic conditions are strongly linked to child marriage, disproportionately affecting girls from disadvantaged backgrounds. · In SSA, child marriage rates are decreasing among wealthy families but increasing among the poorest. (4/15)

#Persists despite legal bans:. · 12 million girls marry before 18 every year, among which an estimation of 7.5 unlawfully married. · At the current rate of progress, the world is at least 300 years away from ending child marriage.@UNICEF . (3/15).

#ChildMarriage is a major issue:. · 19% of women are married before 18. · Sub-Saharan Africa has the highest rates (31%). · Severe consequences on:.- Labor market participation.- Domestic violence.- Health.- Education. (2/15)

Many thanks to AFEDEV and CERDI for organizing this workshop! And best of luck to my fellow colleagues who are also on the econ job market this year 🤞.