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Analysing data from 11 national household surveys, this research found that, while women typically earn less than men and pay more in transfer fees, the average remittance amounts they send are the same as or even greater than those of men, implying that they tend to remit a larger portion of their earnings than do men. The research also showed that migrant women are more dependent on in-person cash transfer services to send remittances.
Grounded in a series of case studies from research and programming experience, this report offers a comprehensive framework for understanding how gender, climate, and security are inextricably linked.
This study investigates the feasibility of leveraging big data sources—particularly Twitter, Facebook, and radio data—to improve the evaluation of gender equality and women’s empowerment initiatives. In particular, this study seeks to understand the potential role of big data to evaluate the contribution of UN Women to women’s political participation and leadership, using Mexico and Pakistan as case studies.