Please use this identifier to cite or link to this item: https://doi.org/10.1111/j.1751-5823.2011.00150.x
Title: Properties of Census Dual System Population Size Estimators
Authors: Xi Chen, S.
Tang, C.Y. 
Keywords: Capture-recapture
Discrete covariate
Erroneous enumeration
Kernel smoothing
Model bias
Population size estimation
Issue Date: Dec-2011
Citation: Xi Chen, S., Tang, C.Y. (2011-12). Properties of Census Dual System Population Size Estimators. International Statistical Review 79 (3) : 336-361. ScholarBank@NUS Repository. https://doi.org/10.1111/j.1751-5823.2011.00150.x
Abstract: We study parametric and non-parametric approaches for assessing the accuracy and coverage of a population census based on dual system surveys. The two parametric approaches being considered are post-stratification and logistic regression, which have been or will be implemented for the US Census dual system surveys. We show that the parametric model-based approaches are generally biased unless the model is correctly specified. We then study a local post-stratification approach based on a non-parametric kernel estimate of the Census enumeration functions. We illustrate that the non-parametric approach avoids the risk of model mis-specification and is consistent under relatively weak conditions. The performances of these estimators are evaluated numerically via simulation studies and an empirical analysis based on the 2000 US Census post-enumeration survey data. © 2011 The Authors. International Statistical Review © 2011 International Statistical Institute.
Source Title: International Statistical Review
URI: http://scholarbank.nus.edu.sg/handle/10635/105315
ISSN: 03067734
DOI: 10.1111/j.1751-5823.2011.00150.x
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