Hierarchical logistic regression models for imputation of unresolved enumeration status in undercount estimation.

摘要: Abstract In the process of collecting Post-Enumeration Survey (PES) data to evaluate census coverage, it is inevitable that there will be some individuals whose enumeration status (outcome in census-PES match) remains unresolved even after extensive field follow-up operations. Earlier work developed a logistic regression framework for imputing probability were enumerated census, so having been allowed depend on covariates. The covariates may include demographic characteristics, geographic information, and codes summarize information characteristics match (e.g., before-follow-up code assigned by clerks describe type between PES records). production 1990 undercount estimates, basic model was expanded into mixed hierarchical allow presence group-specific effects, where groups are characterized common befor...