2026-05-25T18:33:22Z https://datacatalogue.cessda.eu/oai-pmh/v0/oai

c33c3ed817d852fb4c65a3e55792501bf6c9b3fe57978ad7e8fa1e63a407b31b 2025-06-17T03:15:47Z language:enopenaire_data

DDI study level documentation for study 10.7802/2345 Replication Data for: "Estimating Local Inequality from Nighttime Lights” Replication Data for: "Estimating Local Inequality from Nighttime Lights” Replication Data for: "Estimating Local Inequality from Nighttime Lights” 10.7802/234510.7802/234510.7802/234510.7802/2345 Theunissen, Gerlinde Theunissen, Gerlinde Weidmann, Nils B. Weidmann, Nils B. [Funded by the Deutsche Forschungsgemeinschaft (DFG – German Research Foundation) under Germany‘s Excellence Strategy – EXC-2035/1 – 390681379] GESIS Data Archive for the Social SciencesGESIS Datenarchiv für Sozialwissenschaften UngleichheitUngleichheit Economic inequality at the local level has been shown to be an important predictor of people's political perceptions and preferences. However, research on these questions is hampered by the fact that local inequality is difficult to measure and systematic data collections are rare, in particular in countries of the Global South. We propose a new measure of local inequality derived from nighttime light (NTL) emissions data. Our measure corresponds to the local inequality in per capita nighttime light emissions, using VIIRS-derived nighttime light emissions data and spatial population data from WorldPop. We validate our estimates using local inequality estimates from the Demographic and Health Surveys (DHS) for a sample of African countries. Our results show that nightlight-based inequality estimates correspond well to those derived from survey data, and that the relationship is not due to structural factors such as differences between urban and rural regions. We also present predictive results, where we approximate the (survey-based) level of local inequality with our nighttime light indicator. This illustrates how our approach can be used for new cases where no other data is available.Economic inequality at the local level has been shown to be an important predictor of people's political perceptions and preferences. However, research on these questions is hampered by the fact that local inequality is difficult to measure and systematic data collections are rare, in particular in countries of the Global South. We propose a new measure of local inequality derived from nighttime light (NTL) emissions data. Our measure corresponds to the local inequality in per capita nighttime light emissions, using VIIRS-derived nighttime light emissions data and spatial population data from WorldPop. We validate our estimates using local inequality estimates from the Demographic and Health Surveys (DHS) for a sample of African countries. Our results show that nightlight-based inequality estimates correspond well to those derived from survey data, and that the relationship is not due to structural factors such as differences between urban and rural regions. We also present predictive results, where we approximate the (survey-based) level of local inequality with our nighttime light indicator. This illustrates how our approach can be used for new cases where no other data is available. Free access (without registration) - The research data can be downloaded directly by anyone without further limitations.Freier Zugang (ohne Registrierung) - Die Forschungsdaten können von jedem direkt heruntergeladen werden. http://dbkapps.gesis.org/dbkoai/oai.asp oai:dbk.gesis.org:SDN/10.7802_2345 2023-03-11 ddi:codebook:2_5