title: Correlation bias in U.S. census adjustment.
abstract: One form of error that can affect census adjustments is correlation bias, reflecting people who are doubly missing--from the census and from the adjusted counts as well. This article presents a method for estimating the total national number of doubly-missing people and their distribution by race and sex. Application to the 1990 U.S. census adjustment leads to an estimate of 3 million doubly-missing people. Correlation bias is likely to be a serious problem for census adjustment in 2000. The methods of this article are well suited for measuring its magnitude.
authors.affiliation: Department of Demography, University of California, Berkeley, USA.
authors.forename: K W
authors.initials: KW
authors.lastname: Wachter
authors.forename: D A
authors.initials: DA
authors.lastname: Freedman
mesh_terms: D015982:Bias; D019352:Censuses; D003710:Demography; D005260:Female; D006801:Humans; D008297:Male; D008432:Mathematical Computing; D044469:Racial Groups; D014481:United States