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Sudhanshu Handa and Zhiyuan Liu discuss how a machine learning technique can be applied to study the impact of unconditional cash transfers on different programme participants and contribute to the development of a middle range theory on graduation out of poverty.


Over the past 30 months we have been carefully tracking countries’ unprecedented social protection responses to Covid-19. But what are we learning from such wealth of experiences?


This blog entry summarizes five studies completed in the last two years that examine impacts of cash, cash-for-work and cash plus programs on both violent discipline of children and male intimate partner violence against women (IPV).


Read about whether cash transfers increase incentives for women to have children in this blog by Transfer Project researcher Amber Peterman.


With COVID-19 throwing a spotlight on both social protection and gender-based violence, experts explore some of the ways these topics intersect.


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