2018
DOI: 10.1016/j.jdeveco.2018.01.003
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Subnational diversity in Sub-Saharan Africa: Insights from a new dataset

Abstract: This paper presents a new dataset on subnational ethnolinguistic and religious diversity in Sub-Saharan Africa covering 36 countries and almost 400 first-level administrative units. We use population censuses and large-scale household surveys to compile detailed data on the ethnolinguistic composition of each region and match all reported ethnicities to Ethnologue, a comprehensive catalog of world languages. This matching allows us to standardize the notion of an ethnolinguistic group and account for relatedne… Show more

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Cited by 34 publications
(18 citation statements)
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“…A standard approach to constructing any dataset on regional sociodemographic characteristics is to compile the information from relevant population surveys. In Gershman and Rivera (2018), we introduce and describe the product of a comprehensive effort to compile the data on subnational ethnolinguistic composition of Sub-Saharan Africa based on this approach. Our dataset contains 36 countries, almost 400 first-level administrative units, and 750 unique ethnolinguistic groups.…”
Section: The Survey-based Approachmentioning
confidence: 99%
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“…A standard approach to constructing any dataset on regional sociodemographic characteristics is to compile the information from relevant population surveys. In Gershman and Rivera (2018), we introduce and describe the product of a comprehensive effort to compile the data on subnational ethnolinguistic composition of Sub-Saharan Africa based on this approach. Our dataset contains 36 countries, almost 400 first-level administrative units, and 750 unique ethnolinguistic groups.…”
Section: The Survey-based Approachmentioning
confidence: 99%
“…Neither of these conditions is expected to hold perfectly since both key inputs of the exercise are only approximations. However, given the increasing popularity of GIS applications in social sciences and the simplicity of implementing this approach, it is instructive to compare its outcomes to those of the survey-based method in Gershman and Rivera (2018).…”
Section: The Gis Approachmentioning
confidence: 99%
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