Erratum to: Using the Census Bureau’s surname list to improve estimates of race/ethnicity and associated disparities

By M. Elliott, P. Morrison, A. Fremont, Daniel F McCaffrey, Philip M Pantoja, N. Lurie. 2009

41 citations recorded by the source corpus.

Subfields: Epidemiology, Sociology and Political Science

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Epidemiology

1. Nathan Kallus

In Sociology and Political Science

1. McKane Andrus
2. Jiahao Chen
3. Jeffrey Brown
4. Nathan Kallus
5. Alice Xiang
6. Elena Spitzer

Citations in the corpus

• Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved (2018, methodology): “Specifically, assuming that surname and location are statistically independent given race, BISG uses Bayes’s rule to compute race membership probabilities from the conditional distributions of surname given race and of location given race as inferred by census data.”
• What We Can't Measure, We Can't Understand: Challenges to Demographic Data Procurement in the Pursuit of Fairness (2020, methodology): “that a number of financial institutions have taken their cue from the CFPB to infer racial categories through the Bayesian Improved Surname Geocoding (BISG) [25] method when the data is either sparse or not collected.”