It is commonly thought that a shock affecting agricultural production will translate into food insecurity a few months later––during the next lean season. However, high-frequency data from the…

Emma Frankham, Jonas Heirman, Marcus Holmlund, Patrick Premand, Jennifer Waidler |

One year since the onset of the COVID-19 pandemic, the level of education became the main predictor of joblessness in Ethiopia, Malawi, Nigeria, and Uganda. These four countries represent 34% of…

Ivette Maria Contreras-González, Gbemisola Oseni, Amparo Palacios-Lopez, Janneke Pieters, Michael Weber |

The Uganda Bureau of Statistics (UBOS) continues data collection for the Uganda High-Frequency Phone Survey (UHFPS). The survey has been initially used to track the socioeconomic impacts of COVID-…

Aziz Atamanov, Frédéric Cochinard, John Ilukor, Talip Kilic, Giulia Ponzini |

The COVID-19 pandemic was one of the largest global shocks in recent history, but it did not increase extreme poverty in Africa as it was feared it would. The reason may be a combination of things…

Kibrom A. Abay, Nishant Yonzan, Sikandra Kurdi, Kibrom Tafere |

Most of the focus on the impact of flaring gas has been on the economic impacts, and its ability to harm human health has largely been ignored. This paper bridges this gap by linking data from…

Omoniyi Alimi, John Gibson |

This blog is a biweekly feature highlighting recent working papers from around the World Bank Group. It introduces five papers published in August 2022 on various topics, including COVID-19…

Marcelo Buitron, Policy Research Working Paper team |

This blog is a biweekly feature highlighting recent working papers from around the World Bank Group that were published in the World Bank’s Policy Research Working Paper Series. This entry…

Marcelo Buitron, Policy Research Working Paper team |

In this blog, we highlight two projects that leveraged data-driven policymaking processes and simulations.

Kerina Wang, KCP Program Management Unit (KCP PMU) |

Detailed data on the spatial distribution of jobs is crucial, but such data are rarely available. This study develops a machine learning algorithm that relies on widely available public data to…

Paolo Avner, Jun Rentschler, Samira Barzin, Neave O'Clery |