This paper develops a method to predict comparable income and consumption distributions for all countries in the world from a simple regression with a handful of country-level variables. To fit the...
The September 2024 update to the Poverty and Inequality Platform (PIP) introduces several changes to the data underlying the global poverty estimates. This document details these changes and the methodological ...
To effectively address poverty, it is essential that countries have the tools and means to accurately measure people’s living standards. Most countries rely on data collected from household surveys ...
The World Bank recently introduced a new key indicator to guide its work: the number of countries with high inequality, defined as a Gini index above 40. The new indicator was introduced as part of...
This technical note summarizes changes to how the Poverty and Inequality Platform (PIP) lines up survey-based estimates of poverty to a common reference year. The prior line-up method assumed that welfare...
Unequal access to economic opportunity for individuals with different innate characteristics, such as ethnicity or parents’ socioeconomic status, is often seen as both morally undesirable and...
Data-driven research on a country is key to producing evidence-based public policies. Yet little is known about where data-driven research is lacking and how it could be expanded. This paper proposes...
The September 2023 update to the Poverty and Inequality Platform (PIP) involves several changes to the data underlying the global poverty estimates. In particular, some welfare aggregates have been...
Data produced by the public sector can have transformational impacts on development outcomes through better targeting of resources, improved service delivery, cost savings, increased accountability...
The September 2022 update to the Poverty and Inequality Platform (PIP) involves two changes to the data underlying the global poverty estimates. First, this update adopts the 2017 Purchasing Power Parities...
The March 2023 update to the Poverty and Inequality Platform (PIP) involves several changes to the data underlying the global poverty estimates. In particular, some welfare aggregates have been revised...
Previous studies have explored potential conflicts between ending poverty and limiting global warming, by focusing on the carbon emissions of the world’s poorest. This paper instead focuses on ...
This paper evaluates different methods for nowcasting country-level poverty rates, including methods that apply statistical learning to large-scale country-level data obtained from the World Development ...
The COVID-19 pandemic has had catastrophic economic and human consequences worldwide. This paper tries to quantify the consequences of the pandemic on global inequality and poverty in 2020. Since face-to-face ...
To monitor progress toward global goals such as the Sustainable Development Goals, global statistics are needed. Yet cross-country data sets are rarely truly global, creating a trade-off for producers...
The April 2022 update to the newly launched Poverty and Inequality Platform (PIP) involves several changes to the data underlying the global poverty estimates. Some welfare aggregates have been changed...
Purchasing power parity exchange rates (PPPs) are used to estimate the international poverty line (IPL) in a common currency and account for relative price differences across countries when measuring...
This paper examines the short-term implications of the COVID-19 pandemic for inequality in developing countries. The analysis takes advantage of high-frequency phone survey data collected by the World...
This paper evaluates different methods for nowcasting country-level poverty rates, including methods that apply statistical learning to large-scale country-level data obtained from the World Development ...
Data produced by the public sector can have transformational impacts on development outcomes through better targeting of resources, improved service delivery, cost savings in policy implementation...