Ismael Yacoubou Djima (MPP ’13)
APP: Leveraging International Migrants’ Remittance Flows for Economic Development in Senegal (The World Bank)
Robert Pickmans, MPP 2013
APP: Improving Secondary Education in the Kingdom of Swaziland (The World Bank)
When Professor Jeanine Braithwaite announced the formation of a weekly study group to work on household data sets from developing countries, Robert Pickmans and Ismael Yacoubou Djima quickly submitted their resumes for consideration. Pickmans had recently returned from a summer visit to Peru, during which presidential elections had focused his attention on the myriad national political and social issues, especially candidates’ proposed education policy and programs for the underprivileged population. Yacoubou Djima grew up in Côte d’Ivoire and Togo, experiencing the social, political, and economic struggles of developing nations, and wrote his undergraduate honors thesis on “Estimation of the effect of trade on wage inequality in the U.S.A.” Both were passionate about using their rigorous quantitative training to study projects aimed at alleviating conditions in the developing world. The group examined the 2009-2010 Swaziland Household Income and Expenditures Survey (SHIES) and the 2010 Multiple Indicators Cluster Survey (MICS), and contributed to a World Bank report on using public transfers to reduce extreme poverty in Swaziland.
After spending their first year in the study group, Pickmans and Yacoubou Djima had the opportunity to work with Braithwaite on a research collaboration with UNICEF using SHIES and MICS to study children’s living conditions, attitudes toward HIV/AIDS, and access to preventative and reproductive health services. They traveled to Swaziland on a research mission over spring break their second year and presented their findings post-graduation in New York City to UNICEF headquarters staff. Currently, both Pickmans and Yacoubou Djima have research analyst positions with the World Bank. The study group has been formulated into a three-credit Batten elective on big household data analysis, which extends from fall to spring.