title: Combining census, dual-system, and evaluation study data to estimate population shares.
abstract: "The 1990 [U.S.] census and Post-Enumeration Survey produced census and dual system estimates (DSE) of population by domain, together with an estimated sampling covariance matrix of the DSE.  Estimates of the bias of the DSE were derived from various PES evaluation programs.  Of the three sources, the unadjusted census is the least variable but is believed to be the most biased, the DSE is less biased but more variable, and the bias estimates may be regarded as unbiased but are the most variable.  This article addresses methods for combining the census, the DSE, and bias estimates obtained from the evaluation programs to produce accurate estimates of population shares, as measured by weighted squared- or absolute-error loss functions applied to estimated population shares of domains."
authors.forename: A M
authors.initials: AM
authors.lastname: Zaslavsky
mesh_terms: D000569:Americas; D015982:Bias; D019352:Censuses; D003625:Data Collection; D019049:Developed Countries; D005069:Evaluation Studies as Topic; D008722:Methods; D009656:North America; D011154:Population Characteristics; D012106:Research; D012107:Research Design; D012494:Sampling Studies; D013223:Statistics as Topic; D014481:United States
keywords: Americas; Bias; Census; Census Methods; Data Adjustment; Data Collection; Developed Countries; Dual Data Collection; Error Sources; Estimation Technics; Evaluation; Measurement; Methodological Studies; North America; Northern America; Population Statistics; Research Methodology; Sampling Studies; Studies; Surveys; United States