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The Harvard Center for International Development is home to faculty affiliates from each school at Harvard University, working across sectors in developing nations around the world.

Faculty research is published in a wide range of academic and policy venues and can be found through the feed and filters below. Select faculty research papers are highlighted in our Faculty Research Insights series on our blog, CID Voices.

CID working papers published by Harvard faculty, graduate students, and research fellows prior to 2024 can be found here

Showing results 1 - 10 of 1036

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Alejandro Ganimian
Vol. 99, Pages 102518
Providing principals with low-stakes information on their students’ test scores has been shown to improve school management, instruction, and achievement in upper-middle income…
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Alejandro Ganimian
Home-visitation programs have improved child development in low- and middle-income countries, but they are costly to scale due to their reliance on trained workers. We evaluated…
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Alejandro Ganimian
Vol. 639, Pages 673–681
Many children from low-income backgrounds worldwide fail to master school mathematics1; however, some children extensively use mental arithmetic outside school2,3. Here we…
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Mashail Malik
Vol. 86, Issue 1
In developing countries, in-person surveys are frequently conducted in the presence of respondents’ family, friends, or neighbors. What effect, if any, does their presence have on…
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Ricardo Hausmann
Working Paper No. 239
In this report, we study Hermosillo's economic performance and assess critical issues affecting the city’s ability to achieve stronger economic growth. Although Hermosillo is far…
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Mark Esposito
Vol. 10, Issue 3
Governments around the globe are in a high-stakes race to develop cutting-edge AI systems. But how exactly are they using the technology for their own operations, and what might…
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Celestin Monga
The world faces a conflux of powerful forces of change. Digital technologies and advances in artificial intelligence are transforming markets, economies, and societies. Global…
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Alejandro Ganimian
Vol. 102
This is one of the first studies of the mismatch between students’ test scores and teachers’ estimations of those scores in low- and middle-income countries. Prior studies in high…
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Juan Saavedra
Pages 499-590
This chapter reviews the extensive literature to date on CCTs for education. Section 2 provides background on the origins and expansion of CCTs globally, and describes basic…
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Melissa Dell
Working Paper No. 32768
Deep learning provides powerful methods to impute structured information from large-scale, unstructured text and image datasets. For example, economists might wish to detect the…