Subnational income, growth, and the COVID-19 pandemic
Using real-time data and machine-learning methods, we produce monthly aggregates on gross national income (GNI) for 147 Pakistani districts between 2012 and 2021. We use them to understand whether and how the COVID-19 pandemic affected the growth and subnational distribution of income in Pakistan. Three findings emerge from our analysis. First, districts experienced a sizable decline in income during the pandemic, as their monthly growth rate dropped on average by 0.133 percentage points. Second, a larger income drop took place in districts with a higher COVID-19 incidence, which correspond to urban areas characterized by a higher population density. Third, COVID-19 caused a decline in income inequality across districts, with richer districts experiencing more negative income growth during the pandemic.
| Item Type | Article |
|---|---|
| Keywords | COVID-19 pandemic,growth,satellite data |
| Departments | LSE |
| DOI | 10.1093/wber/lhae027 |
| Date Deposited | 15 May 2025 09:33 |
| URI | https://researchonline.lse.ac.uk/id/eprint/128131 |
