National and Subnational Inequality in Africa: A Club Convergence View from Outer Space Motivation

Abstract

This paper studies the dynamics of national and subnational inequality in Africa. We exploit a novel satellite nighttime light dataset that allows us to measure and compare regional inequality across multiple countries and subnational regions over time. Specifically, we evaluate the spatio-temporal dynamics of a luminosity-based estimate of GDP per capita over the 1992-2012 period. Using a non-linear dynamic factor model, we test the hypothesis that all African nations and subnational regions would eventually converge to a common long-run equilibrium. Results indicate that although inequality across nations and subnational regions has decreased over time, African nations and subnational regions are not converging to a common long-run equilibrium. Indeed, Africa appears to be characterized by four convergence clubs at both national and subnational levels. The paper concludes suggesting that development policies need to be addressed in the context of the identified convergence clubs.

Date
Dec 6, 2020 12:00 AM
Location
Virtual Conference
Carlos Mendez
Carlos Mendez
Associate Professor of Development Economics

My research interests focus on the integration of econometrics, spatial data science, and machine learning methods to understand and inform the process of development of countries, regions, and industries.

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