
Methods & Measurement
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Tracking impact in development
Insights from the work of J-PAL, BII, and DIME sheds light on how organisations track and evaluate the impact of development interventions at scale.
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How has global poverty fallen
Extreme poverty has declined drastically. Evidence from China, India, Indonesia, Mexico and South Africa sheds light on how this unfolded.
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Did COVID-19 vaccination in Africa progress quicker than we thought?
Official records may have painted an overly bleak picture of vaccination progress in low- and middle-income countries, particularly in sub-Saharan Africa. New research suggests that LMICs may have progressed faster than expected.
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The uneven reach of the state: Using machine learning to map local state presence
How can we estimate state presence in areas where direct measurements are lacking? New research offers a solution to measuring state presence using machine learning techniques.
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Using machine learning to detect corruption
When governments harness public budget data and machine learning, they can better predict the incidence of local government corruption.
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Scaling policy ideas in developing countries
To identify effective policies that can scale, a third option should be added to traditional A/B tests, that accounts for the realities of a programme implemented at scale. By flipping the traditional research and policy-development model, researcher...
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Measuring upward mobility in developing countries
What do we know about economic mobility in developing countries?
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Helping vulnerable populations through adaptive field experiments
An adaptive field experiment aiming to integrate Syrian refugees into urban labour markets in Jordan sheds light on the effectiveness of different policies, while targeting the welfare of experimental participants.
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Maximising impact: Open Philanthropy’s approach to choosing causes
If a grantmaking organisation wants to select problems based on a general measure of impact per dollar spent, how should it approach this goal?