A nonparametric method for benchmarking survey data via signal extraction: CS11-617/96-1E-PDF

"This paper compares two benchmarking methods, one based on regression modelling by Cholette and Dagum (1994) and the other based on ARIMA modelling signal extraction by Hillmer and Trabelsi (1987). The difficulties in the latter method of finding ARIMA models for the target series and the resulting implementation problems are discussed. A nonparametric approach to circumvent this problem is proposed, and more general models for estimating and benchmaking repeated survey data are introduced. Simulations show the proposed method and models are efficient and easy to implement"--Abstract.

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Department/Agency Statistics Canada. Methodology Branch.
Title A nonparametric method for benchmarking survey data via signal extraction
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]. "Working paper No. BSMD-96-001E." "March 1996."
Date 1996.
Number of Pages 26 p.
Catalogue Number
  • CS11-617/96-1E-PDF
Departmental Catalogue Number 11-617 no. 96-01
Subject Terms Statistical analysis, Methodology, Surveys