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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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Type: Resource

Poverty dynamics amidst intersecting crises in rural Bangladesh

Bangladesh has achieved strong poverty reduction since the turn of the century, with the share of people living in extreme poverty falling from 33.3% in 2000 to 13.5% in 2016, based on the international poverty line of US$ 2.15 a day. However, an estimated 1.6 million people fell into poverty during the COVID-19 pandemic.

Authors: Vidya Diwakar, Ida Brzezinska

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Type: Resource

Practical guide to Small Area Estimation of poverty using remotely sensed variables – Bangladesh example

A practical guide to statistical modelling of poverty at low administrative levels, ie Small Area Estimation (SAE). This book demonstrates how to leverage remotely sensed data in combination with household surveys to produce spatially disaggregated poverty statistics. It introduces theoretical concepts, and provides a step-by-step walk through of the estimation procedure in R. You can follow the guide from the start (Chapter 1), or, if you are familiar with theory and want to dive straight into the estimation – skip to the practical part.

Authors: Ida Brzezinska, Nick Lindsay, Paul Jasper, Nikos Tzavidis

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Type: Resource

Ending extreme poverty in an increasingly urbanised world

Urban poverty has become a defining feature of our time. The global population has shifted from being predominantly rural to majority urban and future population growth is expected
to be concentrated in cities and towns. In this paper we explore the relationship between urbanisation and extreme poverty.

Authors: Amanda Lenhardt

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Type: Resource

Impact of Covid-19 on employment, income, poverty and inequality in India: evidence from a village study

In this paper, we attempt to contribute to the existing literature by understanding the impact of Covid-19 on employment, income, poverty and inequality in India based on the data obtained from three rounds (2008-09, 2018-19 and 2020-21) of household surveys conducted in Alabujanahalli, a village located in the southern part of Karnataka, India.

Authors: B.Sateesha

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Type: Resource

Urban Poverty Mapping in Mozambique: Is census or geo-spatial data better?

This paper investigates the usefulness of census and geo-spatial data in mapping urban poverty across Mozambique. Utilising enumeration area (EA) codes from the 2017 population census, we merge three distinct data sources: census household characteristics, geo-spatial data and average per capita consumption from a nationally representative household survey.

Authors: Peter Fisker, David Garcés-Urzainqui, Thomas Pave Sohnesen

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Type: Resource

Poverty Dynamics in Bangladesh – Selective Review

This paper is a selective review of poverty dynamics in Bangladesh, looking at multiple data sources and considering Covid-19 and a high vulnerability to poverty across the country.

Authors: Isaac López-Moreno Flores

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Type: Resource

Long-run effects of catastrophic drought insurance

We conduct a 10-year follow-up panel survey with 82 percent of the original baseline sample to study the long-run impacts of catastrophic drought insurance on pre-specified indicators of income, assets, production strategies, and human capital accumulation among pastoralists in the arid and semi-arid lands (ASAL) of northern Kenya and southern Ethiopia.

Authors: Christopher B. Barrett, Hyuk Harry Son, Karlijn Morsink, Nathan Jensen, Yuma Noritomo

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Type: Resource

Poverty dynamics amidst multiple crises in Nigeria

This paper examines three crises, namely Covid-19, conflict (focused on the Boko Haram and Fulani militia violence), disasters (droughts and floods) and their relationship with household poverty dynamics in Nigeria. To do so, it newly brings together five large datasets.

Authors: Vidya Diwakar, Ida Brzezinska

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Type: Resource

Temperature variability as a driver of poverty in low- and middle-income countries

This paper combines remote sensing temperature data from the Reanalysis Fifth Generation (ERA5) global climate dataset for 2018 and micro-estimates of relative household wealth at a 2.4km spatial resolution predicted by machine learning (ML) algorithms from Chi et al. (2022).

Authors: Ida Brzezinska, Paul Jasper

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Type: Resource

Ending extreme poverty in a changing climate

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.

Authors: Amanda Lenhardt

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Type: Resource

The role of migration in ending extreme poverty- Thematic paper

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. 

Authors: Amanda Lenhardt

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Type: Resource

Ending extreme poverty amidst fragility, conflict, and violence-Thematic paper

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.

Authors: Vidya Diwakar

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Type: Resource

The role of social norms in ending extreme poverty- Thematic paper

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.

Authors: Amanda Lenhardt

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Type: Resource

Night-time lights and Multidimensional Poverty in Conflict-torn Cabo Delgado

This study estimates the impact of violent conflict on multidimensional poverty especially in the context of Mozambique. We use satellite imagery of night-time light (NTL) emission which is know to be highly correlated with conflict events and a good predictor of the outcomes of violence.

Authors: Vincenzo Salvucci, Giulia Barletta

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Type: Resource

Assessing the Impact of Covid-19 in Mozambique in 2020

This paper assess the impact of Covid-19 pandemic on the poverty levels in Mozambique using households survey data. We seperate the impact of the pandemic from the effect of other shocks.

Authors: Vincenzo Salvucci, Finn Tarp

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Type: Resource

Crises, prices, and poverty – An analysis based on the Mozambican Household Budget Surveys

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.

Authors: Vincenzo Salvucci, Finn Tarp

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Type: Resource

Poverty dynamics and vulnerability during a growth episode: Evidence from Bangladesh: 2000 – 2016

This study aims to contribute to the evidence base underlying these discussions by conducting a detailed analysis of household-level dynamics of poverty and vulnerability in Bangladesh, a country often singled out as a successful development story.

Authors: David Garcés-Urzainqui

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Type: Resource

Utilising first order dominance methodology to evaluate Multidimensional Poverty in Mozambique

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.

Authors: Vincenzo Salvucci, Finn Tarp

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Type: Resource

Locating extreme poverty in Urban East Africa using advanced statistical methods

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.

Authors: Peter Fisker, David Garcés-Urzainqui, Finn Tarp

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Type: Resource

Understanding poverty dynamics in Ethiopia: Implications for the likely impact of Covid-19

Poverty transitions in Ethiopia and related impacts explored in our latest paper. We provide new insights into household-level movements into and out of different states of poverty and vulnerability during this period using national survey data.

Authors: Finn Tarp, Tseday J. Mekasha

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Type: Resource

Poverty and vulnerability in Mozambique: An analysis of dynamics and correlates in light of the Covid-19 crisis using synthetic panels

In-depth look at how Covid-19 and other global and regional factors alter the picture of poverty in Mozambique.

Authors: Finn Tarp, Vincenzo Salvucci

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Type: Resource

Poverty and vulnerability transitions in Myanmar: An analysis using synthetic panels

Poverty dynamics in Myanmar in light of last decade's social, political, and global changes.

Authors: Vincenzo Salvucci, Finn Tarp, Ines A. Ferreira

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Type: Resource

Understanding Poverty Dynamics and Vulnerability in Tanzania 2012–2018

Looking into the country dynamics of Tanzania where economic growth did not mean less poverty.

Authors: David Garcés-Urzainqui, Jehovaness Aikaeli, Kenneth Mdadila

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Type: Resource

Poverty in India in the face of Covid-19: Diagnosis and prospects

Latest paper from India analysing the poverty data available and applying statistical methods to create synthetic data.

Authors: Peter Lanjouw, Hai-Anh Dang, Elise Vrijburg

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Type: Resource

Constructing Synthetic Panels for the Purpose of Studying Poverty Dynamics: A Primer

Describing a recently developed approach for constructing synthetic panels from cross-section data

Authors: Peter Lanjouw, David Garcés-Urzainqui, Gerton Rongen

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Type: Resource

Manual for the Estimation of a Synthetic Panel and Vulnerability Analysis

Methods and tools notes about Synthetic panel estimation

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Type: Resource

How can new technology support better measurement of extreme poverty?

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.

Authors: Nikos Tzavidis

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Type: Resource

How can new technology support better measurement of extreme poverty? Research insight

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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Type: Resource

How can new technology support better measurement of extreme poverty? Annexe

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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Type: Resource

What works to reduce extreme poverty? A selective review – working paper

As part of the inception phase of DEEP we have undertaken a selective review of what works to reduce extreme poverty in five countries.

Authors: John Hoddinott

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