Choices of alpha value in regression composite estimation for the Canadian Labour Force Survey: CS11-619/2002-5E-PDF

impacts and evaluation /

"The Canadian Labour Force Survey (LFS) is a continuous monthly survey with a complex rotating panel design where there is a 5/6 sample overlap between any two consecutive months. After extensive studies, including the investigation of a number of alternative methods for exploiting the sample overlap to improve the quality of estimates, the LFS has chosen and implemented a regression composite estimation method. Currently, a compromise linear estimator between level and monthly change driven estimates with the a value of 2/3 is implemented. This study is to evaluate a broad range of a values on many different LFS characteristics and its impacts on the final survey weights"--Abstract.

Permanent link to this Catalogue Record: What is a permanent link?
MARC XML Format   MARC HTML Format

Department/Agency Statistics Canada. Methodology Branch.
Title Choices of alpha value in regression composite estimation for the Canadian Labour Force Survey
Subtitle impacts and evaluation /
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]. "HSMD-2002-005E." "November 2002."
Date 2002.
Number of Pages 30, [6] p.
Catalogue Number
  • CS11-619/2002-5E-PDF
Departmental Catalogue Number 11-619E no. 2002-05
Subject Terms Methodology, Statistical analysis, Surveys