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Bayesian Improved Surname Geocoding (BISG) is a ubiquitous tool forpredicting race and ethnicity using an individual's geolocation and surname.Here we demonstrate that statistical dependence of surname and geolocationwithin racial/ethnic categories in the United States results in biases forminority subpopulations, and we introduce a raking-based improvement. Ourmethod augments the data used by BISG--distributions of race by geolocation andrace by surname--with the distribution of surname by geolocation obtained fromstate voter files. We validate our algorithm on state voter registration liststhat contain self-identified race/ethnicity.

An improved BISG for inferring race from surname and geolocation