This paper examines the impact of livelihood diversification on food insecurity amid the COVID-19 pandemic. The analysis uses household panel data from Ethiopia, Malawi, and Nigeria in which the first round was collected immediately prior to the pandemic and extends through multiple rounds of...

The availability of weather data from remotely sensed Earth observation data has reduced the cost of including weather variables in econometric models. Weather variables are common instrumental variables used to predict economic outcomes and serve as an input in modeling crop yields for rainfed...

In June 2020, the Uganda Bureau of Statistics (UBOS), in collaboration with the World Bank, officially launched the Uganda High Frequency Phone Survey (UHFPS) to track the impacts of the COVID-19 pandemic on a regular basis. In June 2022, the scope of the survey was expanded to monitor economic...

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, and more. Around the world, the amount of data produced by the public sector is increasing...

This paper addresses the challenge of missing crop yield data in large-scale agricultural surveys, where crop-cutting, the most accurate method for yield measurement, is often limited due to cost constraints. Multiple imputation techniques, supported by machine learning models are used to...