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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 706

Harvard Kennedy School Logo
 
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…
Harvard Kennedy School Logo
 
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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Bruno S. Sergi
Vol. 34
The chapters published in this volume were presented at the SIBR 2023 Tokyo Conference on Interdisciplinary Business and Economic Research organised by the Society of…
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Bruno S. Sergi
The Global South consists of emerging nations with increasing economic and political strength, drawing attention to their unique leadership challenges and opportunities. Visionary…
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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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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…
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David Yang
Working Paper No. 31617
Citizens have long taken to the streets to demand change, expressing political views that may otherwise be suppressed. Protests have produced change at local, national, and…
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Bruno S. Sergi
This volume focuses on core topics of economic disruption caused by the Covid-19 pandemic: changes in socio-cultural relationships, behavioural patterns and psychological…