At DEEP, we are researching and collating new data, ideas, and solutions to support the change that is needed to end extreme poverty. Search our Resource Centre for our latest insights, including publications and other materials from our partners and from the across the sector.
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The impacts of climate change are widely recognised as being among the leading threats to the eradication of extreme poverty. Climate change is not only expected to keep people currently living in poverty trapped there, but also threatens to cancel out progress that has been made to reduce poverty.
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This paper provides a high-level summary of the latest, well-evidenced research on measures to address extreme poverty amidst high rates of migration, and to identify priority areas where further research would contribute value.
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This paper examines how Fragile, Conflict-affected, and Violent (FCV) settings have impacted efforts to reduce extreme poverty today and concludes that given the complex relationship between FCVs and poverty, a flexible portfolio approach that responds to different sources of impoverishment is needed.
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This paper explores the role social norms may play in efforts to reduce extreme poverty by 2030. It has two primary objectives. First, to summarise the latest well-evidenced research on efforts to tackle extreme poverty through policies and programmes that address social norms.
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This paper assess the impact of Covid-19 pandemic on the poverty levels in Mozambique using households survey data.
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This paper analyses and links together the exchange rate and price trends, and the shocks experienced by Mozambique between 2014/15 and 2019/20, in an attempt to examine and uncover how they influenced poverty.
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This paper develops and applies the First Order Dominance (FOD) method to all the existing household budget survey data for Mozambique, with the objective of assessing how multidimensional poverty has evolved over time as well as testing the robustness of the Household survey data.
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This research paper explores the extent to which information extracted from satellite images can help predict the distribution of extreme urban poverty in Ethiopia, Tanzania, and Mozambique.
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Poverty transitions in Ethiopia and related impacts explored in our latest paper.
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In-depth look at how Covid-19 and other global and regional factors alter the picture of poverty in Mozambique.
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Poverty dynamics in Myanmar in light of last decade's social, political, and global changes.
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Looking into the country dynamics of Tanzania where economic growth did not mean less poverty.
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Latest paper from India analysing the poverty data available and applying statistical methods to create synthetic data.
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Describing a recently developed approach for constructing synthetic panels from cross-section data
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Methods and tools notes about Synthetic panel estimation
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A paper exploring the suite of different data sources that can be used for measuring and investigating poverty, including new data sources and statistical techniques.
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A research insight summarising a longer review exploring how innovation in data collection, data processing, and data analysis, might provide solutions to ‘pinch points’ in policymaking and management around poverty reduction.
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Annexe to the paper 'How can new technology support better measurement of extreme poverty?' covering methods for producing high-resolution and high-frequency poverty estimates.
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As part of the inception phase of DEEP we have undertaken a selective review of what works to reduce extreme poverty in five countries.
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These are annexes to the working paper: What works to reduce extreme poverty? A selective review