| Literature DB >> 12155418 |
J M Alho, M H Mulry, K Wurdeman, J Kim.
Abstract
"We show how conditional logistic regression can be used to estimate the probability of being enumerated in a census and apply the model to the 1990 Post-Enumeration Survey (PES) in the United States.... We discuss some special problems caused by the fact that the PES sample area is open to migration between the captures. We also consider the effect of data errors in estimation. We characterize hard-to-enumerate populations and give some tentative estimates of correlation bias." excerptKeywords: Americas; Bias; Census; Census Methods; Data Adjustment; Data Analysis; Data Quality; Demographic Factors; Developed Countries; Error Sources; Estimation Technics; Measurement; Migration; North America; Northern America; Population; Population Dynamics; Population Statistics; Research Methodology; Sampling Studies; Studies; Surveys; United States
Mesh：
Year: 1993 PMID： 12155418
Source DB: PubMed Journal: J Am Stat Assoc ISSN： 0162-1459 Impact factor: 5.033