Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements. (arXiv:2205.06129v3 [stat.ML] UPDATED)

Prediction of individual's race and ethnicity plays an important role in
social science and public health research. Examples include studies of racial
disparity in health and voting. Recently, Bayesian Improved Surname Geocoding
(BISG), which uses Bayes' rule to combine information from Census surname files
with the geocoding of an individual's residence, has emerged as a leading
methodology for this prediction task. Unfortunately, BISG suffers from two
Census data problems that contribute to unsatisfactory predictive performance
for minorities. First, the decennial …

arxiv bayesian census data geocoding imputation race