A new method for estimating race/ethnicity and associated disparities where administrative records lack self-reported race/ethnicity.

By M. Elliott, A. Fremont, P. Morrison, Philip M Pantoja, N. Lurie. 2008

210 citations recorded by the source corpus.

Subfields: Clinical Psychology, Genetics, 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 Clinical Psychology

1. Madeleine Udell

In Genetics

1. Daniel F McCaffrey
2. Nathan Kallus

In Sociology and Political Science

1. Daniel F McCaffrey
2. Jiahao Chen
3. Nathan Kallus
4. Ronald D. Fricker Jr.

Citations in the corpus

• Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved (2018, background): “2 Similarly, health plans can only solicit race and ethnicity information for new members but cannot obtain the same information for existing members [18].”
• Using the Census Bureau’s surname list to improve estimates of race/ethnicity and associated disparities (2009, methodology): “This latter approach, hereafter ‘‘Geocoding Only (GO),’’ more fully incorporates the available census information than a ‘‘cut point’’ approach and provides information for several multiple racial/ethnic groups (see Elliott et al. 2008b).”
• Assessing Fair Lending Risks Using Race/Ethnicity Proxies (2018, unknown): “4 Elliott et al. (2008) have already shown that the Bayesian Surname”