This paper compares two approaches to measuring subnational ethnolinguistic diversity in Sub-Saharan Africa, one based on censuses and large-scale population surveys and the other relying on the use of geographic information systems (GIS). The two approaches yield sets of regional fractionalization indices that are moderately positively correlated, with a stronger association across rural areas. These differences matter for empirical analysis: in a common sample of regions, survey-based indices of deep-rooted diversity are much more strongly negatively associated with a range of development indicators relative to their highest-quality GIS-based counterparts.
History
Publisher
American University (Washington, D.C.). Department of Economics
Notes
Department of Economics, Working Paper Series, no. 2016-05. 9 pages.