Please use this identifier to cite or link to this item: https://doi.org/10.1198/jasa.2009.ap08404
Title: Local post-stratification in dual system accuracy and coverage evaluation for the U.S. census
Authors: Chen Jr., S.X.
Tang, C.Y. 
Mule Jr., V.T.
Keywords: Capture recapture
Erroneous enumeration
Kernel smoothing
Missing values
Population size estimation
Issue Date: Mar-2010
Citation: Chen Jr., S.X., Tang, C.Y., Mule Jr., V.T. (2010-03). Local post-stratification in dual system accuracy and coverage evaluation for the U.S. census. Journal of the American Statistical Association 105 (489) : 105-119. ScholarBank@NUS Repository. https://doi.org/10.1198/jasa.2009.ap08404
Abstract: We consider a local post-stratification approach to analyze the capture recapture dual system Accuracy and Coverage Evaluation (A.C.E.) data associated with the 2000 U.S. Census. The local post-stratification is carried out via a nonparametric regression estimation of the census enumeration and the correct enumeration functions. We propose a nonparametric population size estimator that is designed to accommodate some key aspects of the A.C.E.: missing values, erroneous enumerations, and extra covariates affecting the missingness and correct enumeration. The resulting estimates are compared with estimates from a conventional post-stratification and a logistic regression approach in an analysis on the 2000 Census A.C.E. data. © 2010 American Statistical Association.
Source Title: Journal of the American Statistical Association
URI: http://scholarbank.nus.edu.sg/handle/10635/105206
ISSN: 01621459
DOI: 10.1198/jasa.2009.ap08404
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