Linking and benchmarking the redesigned retail and wholesale trade series / by Pierre A. Cholette.: CS11-614/90-4E-PDF
"The Retail and Wholesale trade time series are key measures of economic activity and provide major components of the National Accounts and of the Input-Output tables. During 1989 Statistics Canada conducted two parallel monthly Retail and Wholesale surveys: the old survey, based on earlier Standard Industrial Classifications (SIC), which has provided the estimates until now, and a new survey, based on a new sample design, on a new frame and on the 1980 SIC. Starting in 1990, the Retail and Wholesale estimates published for 1989 and for the ensuing years will originate from the new survey. For the years 1981 to 1989, the old senes will be revised; the revised series (1) will reflect the 1980 SIC, (2) will be linked to the new senes and (3) will be benchmarked to annual census values. The goals of the revision are to provide the best possible historical Retail and Wholesale estimates consistent with the new current series and to facilitate seasonal adjustment of the new series starting in January 1989. (Seasonal adjustment requires at least three years of continuous data.) This paper describes the techniques and methods used in the revision process"--Introduction, p. 1.
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Department/Agency | Canada. Statistics Canada. Methodology Branch. |
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Title | Linking and benchmarking the redesigned retail and wholesale trade series / by Pierre A. Cholette. |
Series title | Working paper ; 90-4 |
Publication type | Series - View Master Record |
Language | [English] |
Format | Electronic |
Electronic document | |
Note(s) | Digitized edition from print [produced by Statistics Canada]. "Working Paper TSRA-90-004E." "Revised May 15, 1990." Includes bibliographic references. |
Publishing information | Ottawa : Statistics Canada, 1990. |
Author / Contributor | Cholette, Pierre-A. (Pierre-Arthur), 1948- |
Description | 26 p. |
Catalogue number |
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Departmental catalogue number | 11-614E |
Edition | Rev. ed. |
Subject terms | Methodology Statistical analysis |
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