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Activity Number:
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42
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Type:
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Contributed
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Date/Time:
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Sunday, August 11, 2002 : 4:00 PM to 5:50 PM
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Sponsor:
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Section on Survey Research Methods*
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| Abstract - #301336 |
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Title:
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The Redesign of the Quarterly Retail Commodity Survey
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Author(s):
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Catherine Dufour*+ and Hélène Bérard+
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Affiliation(s):
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Statistics Canada and Statistics Canada
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Address:
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120 Parkdale Avenue, Ottawa, Ontario, K1A 0T6, Canada , , , ,
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Keywords:
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Redesign ; Retail Trade ; Commodity ; Two-Phase Design
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Abstract:
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Since 1997, the Quarterly Retail Commodity Survey (QRCS) has collected data and produced estimates of the sales distribution for retail commodities such as food, health products, clothing, etc. The survey uses a two-phase stratified sample design; the first phase is the Monthly Wholesale and Retail Trade Survey (MWRTS). Both surveys are now being redesigned to provide estimates for the new North American Industry Classification System (NAICS) and to take full advantage of administrative data from the Goods and Services Tax (GST) program. The new QRCS will retain a two-phase stratified sample design; however, a multivariate optimal allocation technique was developed to maximize efficiency of the design for major commodities under the new classification. To reduce respondent burden on smaller units, the survey will not collect data for a substantial portion of its population; these units represent less than 5% of total sales. The production of commodity estimates for the non-survey and survey population, with the added constraint that total sales must be benchmarked to those of the MWRTS, constitute an interesting challenge. This paper presents some of these issues.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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