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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 61 - 70 of 413

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Carmen Reinhart
Working Paper No. 32599
We study sovereign external debt crises with a focus on creditor losses, or "haircuts". Our sample covers 321 sovereign debt restructurings with external private creditors over…
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Rembrand Koning
Working Paper No. 724-418
Chai Point was an Indian food and beverage company focused on chai. It started in 2010 as a retail store network but soon expanded to corporate offices by developing an IoT-…
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Sebastian Bauhoff
Vol. 8, Issue 10
Introduction Many children in low-income and middle-income countries fail to receive any routine vaccinations. There is little evidence on how to effectively and efficiently…
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Catherine Elizabeth Snow
Vol. 9
Children from historically marginalized racial/ethnic and socioeconomic groups, on average, score lower on widely used assessments of academic, executive functioning, and social-…
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Dani Rodrik
Working Paper No. 2023-07
In the context of a shift towards longer-term, public-value-oriented economic thinking, there is a real opportunity to reimagine the contracts that structure public-private…
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Bill Kerr
We study the relationship between firm centralization and organizational reproduction in satellite locations. For decentralized firms, the ethnic compositions of inventors in…
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Raffaella Sadun
Vol. 101, Issue 5, Pages 56-65
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Joseph Henrich
Large language models (LLMs) have recently made vast advances in both generating and analyzing textual data. Technical reports often compare LLMs’ outputs with “human” performance…