Outputs
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Publication - Project Report
Subnational income, convergence, and the COVID-19 pandemic
The COVID-19 pandemic severely affected the growth and subnational distribution of income in low-income countries. To understand these effects, we produce monthly aggregates on gross national income (GNI) for 147 Pakistani districts through real-time data and machine learning between 2012 and 2021. Three findings emerge from our analysis. First, urban districts...
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Publication - Policy Brief
Subnational income, convergence, and the COVID-19 pandemic
This brief investigates the effects of the COVID-19 pandemic on gross national income in Pakistan and its districts. To address the lack of available data, we developed a machine-learning algorithm that can predict economy activity in real time by leveraging administrative, night-light, and other real-time data. Urban districts in Pakistan drove the slow-down in...