Applying name- and location-based race imputation to New York property records, the paper estimates that White ownership share exceeds White population share in most tracts, with the largest gaps in minority-majority neighborhoods.
Rethnicity: Predicting Ethnicity from Names
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abstract
In this study, a new R package, \texttt{rethnicity} is provided for predicting ethnicity based on names. The Bidirectional LSTM and Florida Voter Registration were used as the model and training data, respectively. Special care was given for the accuracy of minority groups, by adjusting the imbalance in the dataset. The models were trained and exported to C++ and then integrated with R using Rcpp. Additionally, the availability, accuracy, and performance of the package were compared with other solutions.
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2025 1verdicts
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NY Real Estate Racial Equity Analysis via Applied Machine Learning
Applying name- and location-based race imputation to New York property records, the paper estimates that White ownership share exceeds White population share in most tracts, with the largest gaps in minority-majority neighborhoods.