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Poverty in Mozambique: immobility and widespread vulnerability

Using innovative statistical methods, we provide new insights into Mozambique’s existing household data and reveal a more complex picture of poverty persistence and widespread vulnerability.

Poverty in Ethiopia: worrying patterns of persistence

New DEEP analysis reveals worrying patterns of persistent poverty in Ethiopia – including among households that have been hard hit by the COVID-19 pandemic’s socioeconomic impacts.

Can better data help policy-makers and communities build resilience?

The concept of development resilience – the ability to be and remain well-off when faced with shocks and stressors – is a growing area of research and fast becoming a mainstay of policymaking and development programming. It is, in part, a justifiable and even urgently necessary reframing of well-established ideas in food security and vulnerability.

Understanding how the pandemic is shaping extreme poverty: can big data help?

For the International Day for the Eradication of Poverty 2021, Finn Tarp, Nikos Tzavidis, Peter Lanjouw and Lucy Scott explore what the evolving global pandemic may mean for extreme poverty and how big data might play a role in helping us to understand it.

Using synthetic panel methods to measure poverty dynamics and vulnerability

Does climate change drive poverty: a Big Data approach