Measuring Inequality using Geospatial Data
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Date
2021-03
Publication Type
Working Paper
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yes
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Abstract
The main challenge in studying economic inequality is limited data availability, which is particularly problematic in developing countries. We construct a measure of economic inequality for 234 countries/territories from 1992 to 2013 using satellite data on night lights and gridded population data. Key methodological innovations include the use of varying levels of data aggregation, and a calibration of the lights-prosperity relationship to match traditional inequality measures based on income data. We obtain a measure that is significantly correlated with cross-country variation in income inequality. We provide three applications of the data in the fields of health economics and international finance. Our results show that light- and income-based inequality measures lead to similar results in terms of cross-country correlations, but not for the dynamics of inequality within countries. Namely, we find that the light-based inequality measure can capture more enduring features of economic activity that are not directly captured by income.
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published
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Volume
493
Pages / Article No.
Publisher
KOF Swiss Economic Institute, ETH Zurich
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Subject
Nighttime lights; inequality; gridded population
Organisational unit
03716 - Sturm, Jan-Egbert / Sturm, Jan-Egbert
02525 - KOF Konjunkturforschungsstelle / KOF Swiss Economic Institute
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Is previous version of: http://hdl.handle.net/20.500.11850/643711