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Comparison of benchmarking methods with and without survey error modelling: CS11-617/2003-6E-PDF

"In this paper, we will show the relationship among three types of benchmarking methods in the literature, namely the Denton (original and modified), the regression, and the signal extraction methods. Assuming the survey error series follows an AR(1) model, by simulation, we investigate the impacts of mis-specification of the model on the benchmarking predictions based on the criterion of minimizing root-mean-squared error of prediction. It is concluded that the survey error modelling procedure proposed by Chen and Wu (2000, 2001) may lead to results as good as those obtained from using the true survey error models"--Abstract.

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Department/Agency Statistics Canada. Methodology Branch.
Title Comparison of benchmarking methods with and without survey error modelling
Series Title Working paper ;
Publication Type Series - View Master Record
Language [English]
Format Electronic
Electronic Document

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Note Digitized edition from print [produced by Statistics Canada]. "BSMD-2003-006E." "November 2003."
Date 2003.
Number of Pages 23 p.
Catalogue Number
  • CS11-617/2003-6E-PDF
Departmental Catalogue Number 11-617-XPE no. 0306
Subject Terms Statistical analysis, Methodology, Surveys