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.

Permanent link to this Catalogue Record: What is a permanent link?
http://publications.gc.ca/pub?id=9.840283&sl=0
MARC XML Format   MARC HTML Format

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

Archived Content

Information identified as archived is provided for reference, research or recordkeeping purposes. It is not subject to the Government of Canada Web Standards and has not been altered or updated since it was archived. Please contact the authoring department to request a format other than those available.

We invite you to consult the Frequently Asked Questions page for additional information regarding the Archived Content notice.


Having trouble opening this document?

Note: The URLs contained in this/these document(s) may no longer be functional
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