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Activity Number:
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229
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Type:
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Contributed
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Date/Time:
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Tuesday, August 5, 2008 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Survey Research Methods
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| Abstract - #300670 |
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Title:
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Variance Estimation for Statistics Canada's Small Household Surveys in the Context of the Household Survey Strategy
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Author(s):
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Sebastien Landry*+
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Companies:
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Statistics Canada
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Address:
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100 Tunney's Pasture Driveway, Ottawa, ON, K1A 0T6, Canada
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Keywords:
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Variance estimation ; Multi-phase surveys ; Multi-frame surveys ; Bootstrap ; Household surveys
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Abstract:
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Statistics Canada launched the Household Survey Strategy (HSS) to be able to increase its capacity to conduct ongoing and new household surveys in a cost-effective manner. The main methodological component of the HSS is the master sample, which will group the respondents from major household surveys to produce a sample frame which will be used by smaller household surveys to select their samples. Many methodological challenges will confront these multiphase, multistage and multiframe smaller surveys, including sample coordination, weighting and estimation. This paper will focus on the variance estimation for the smaller surveys. A new variant of the bootstrap method is planned to be used to estimate the variance of these surveys. A simulation study trying to recreate the HSS environment using census data shows that this method should give fairly accurate variance estimates.
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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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