Record Details

Name Dictionaries for "wru" R Package

Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)

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Field Value
 
Title Name Dictionaries for "wru" R Package
 
Identifier https://doi.org/10.7910/DVN/7TRYAC
 
Creator Rosenman, Evan
Santiago Olivella
Kosuke Imai
 
Publisher Harvard Dataverse
 
Description We provide four dictionaries that provide the racial distributions associated with names in the United States. These dictionaries are used by the latest iteration of the "WRU" package (Khanna et al., 2022) to make probabilistic predictions about the race of individuals, given their names and geolocations. The probabilities cover five racial categories: White, Black, Hispanic, Asian, and Other.

We provide two surname dictionaries. The first provides entries P(race | surname) for about 160K names, derived from the 2010 Census surname list, aggregated with the Census Spanish surname list. The second provides analogous probabilities for 1.48MM surnames. This dictionary is created by starting with the Census-based dictionary and supplementing it with race distributions estimated from the voter files of six Southern states -- Alabama, Florida, Georgia, Louisiana, North Carolina, and South Carolina -- that collect race data.

We also provide dictionaries estimating P(race | first name) and P(race | middle name). These dictionaries -- which contain 1.04MM and 1.16MM names respectively -- are sourced exclusively from the voter files of the six Southern states.


References

Kabir Khanna, Brandon Bertelsen, Santiago Olivella, Evan Rosenman and Kosuke Imai (2022). wru: Who are You? Bayesian Prediction of Racial
Category Using Surname, First Name, Middle Name, and Geolocation. R package version 1.0.0. https://CRAN.R-project.org/package=wru
 
Subject Social Sciences
race prediction, BISG
 
Contributor Rosenman, Evan