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Legal empowerment of the poor, education, Africa, evaluating aid effectiveness
Justin Sandefur is a senior fellow at the Center for Global Development and the co-director of CGD’s education program. Prior to joining CGD, he spent two years as an adviser to Tanzania's national statistics office and worked as a research officer at Oxford University's Centre for the Study of African Economies. His research focuses on a wide range of topics, including education, poverty reduction, legal reform, and democratic governance.
Two recent books reveal an internal debate about the value of childcare and women's work at the Inter-American Development Bank. Impact evaluations show home visitation programs are cheaper and better for kids than center-based childcare. But a new volume argues the cost-benefit calculation may change once impacts on women, and not just children, are added to the equation.
A commission led by the UN's special envoy for education, Gordon Brown, is calling for a doubling of global aid for education, without any clear reform agenda to raise learning levels in the world's failing school systems. That might be ok: bad schools in poor countries still seem to produce big benefits.
Attention presidential transition teams: the Rethinking US Development Policy team at the Center for Global Development strongly urges you to include these three big ideas in your first year budget submission to Congress and pursue these three smart reforms during your first year.
Internationally comparable test scores play a central role in both research and policy debates on education. However, the main international testing regimes, such as PISA, TIMSS, or PIRLS, include very few low-income countries. For instance, most countries in Southern and Eastern Africa have opted instead for a regional assessment known as SACMEQ. This paper exploits an overlap between the SACMEQ and TIMSS tests—in both country coverage, and questions asked—to assess the feasibility of constructing global learning metrics by equating regional and international scales. I ﬁnd that learning levels in this sample of African countries are consistently (a) low in absolute terms; (b) signiﬁcantly lower than predicted by African per capita GDP levels; and (c) converging slowly, if at all, to the rest of the world during the 2000s. Creating test scores which are truly internationally comparable would be a global public good, requiring more concerted effort at the design stage.
If data wants to be free, then PovcalNet, the world’s leading dataset on global poverty, is happier today because it was recently made available for download in bulk by my guests on this week’s Wonkcast CGD research fellow Justin Sandefur and research assistant Sarah Dykstra.