Choudhary, M. Ali, Dal Barco, Ilaria, Haqqani, Ijlal A., Lenzi, Federico and Limodio, Nicola (2025) Subnational income, growth, and the COVID-19 pandemic. World Bank Economic Review, 39 (2). pp. 362-376. ISSN 0258-6770
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Abstract
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 | 
|---|---|
| Additional Information: | © 2024 The Author(s). | 
| Divisions: | LSE | 
| Subjects: | H Social Sciences > HB Economic Theory H Social Sciences > HG Finance H Social Sciences > HF Commerce > HF5601 Accounting | 
| JEL classification: | E - Macroeconomics and Monetary Economics > E0 - General > E00 - General O - Economic Development, Technological Change, and Growth > O1 - Economic Development > O11 - Macroeconomic Analyses of Economic Development O - Economic Development, Technological Change, and Growth > O4 - Economic Growth and Aggregate Productivity > O47 - Measurement of Economic Growth; Aggregate Productivity; Cross-Country Output (Income) Convergence | 
| Date Deposited: | 15 May 2025 09:33 | 
| Last Modified: | 31 Oct 2025 01:08 | 
| URI: | http://eprints.lse.ac.uk/id/eprint/128131 | 
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