Sourcebook on the Foundations of Social Protection Delivery Systems
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Cited by:
- Blumenstock, Joshua & Aiken, Emily & Bellue, Suzanne & Udry, Christopher & Karlan, Dean, 2021.
"Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance,"
CEPR Discussion Papers
16385, C.E.P.R. Discussion Papers.
- Emily Aiken & Suzanne Bellue & Dean Karlan & Christopher R. Udry & Joshua Blumenstock, 2021. "Machine Learning and Mobile Phone Data Can Improve the Targeting of Humanitarian Assistance," NBER Working Papers 29070, National Bureau of Economic Research, Inc.
- Costella, Cecilia & Diez, Ana & Beazley, Rodolfo & Alfonso, Mariana, 2023. "Shock-responsive social protection and climate shocks in Latin America and the Caribbean: Lessons from COVID-19," IDB Publications (Working Papers) 12699, Inter-American Development Bank.
- Emily Aiken & Guadalupe Bedoya & Joshua Blumenstock & Aidan Coville, 2022. "Program Targeting with Machine Learning and Mobile Phone Data: Evidence from an Anti-Poverty Intervention in Afghanistan," Papers 2206.11400, arXiv.org.
- Kamurase,Alex & Willenborg,Emma Schwirck, 2021. "Early Lessons from Social Protection and Jobs Response to COVID-19 in Middle East andNorth Africa (MENA) Countries," Social Protection Discussion Papers and Notes 167319, The World Bank.
- repec:wbk:hdnspu:193099 is not listed on IDEAS
- Aiken, Emily L. & Bedoya, Guadalupe & Blumenstock, Joshua E. & Coville, Aidan, 2023. "Program targeting with machine learning and mobile phone data: Evidence from an anti-poverty intervention in Afghanistan," Journal of Development Economics, Elsevier, vol. 161(C).
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Keywords
Social Protections and Labor - Administrative & Civil Service Reform Social Protections and Labor - Employment and Unemployment Social Protections and Labor - Labor Policies Social Protections and Labor - Safety Nets and Transfers Social Protections and Labor - Social Funds and Pensions Social Protections and Labor - Social Protections & Assistance;Statistics
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