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Sebastien Landry

Statistics Canada



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184 – New Research in Small Area Estimation

Implementation of Small Area Estimation Techniques in an Economic Survey: The Experience of the Monthly Survey of Manufacturing in Canada

Sponsor: Survey Research Methods Section
Keywords: small-area estimation, consistency between estimates, quality indicators, confidentiality

Sebastien Landry

Statistics Canada

The Monthly Survey of Manufacturing conducted by Statistics Canada, which has a sampling design aiming at producing estimates by province, undertook a project to implement small area estimation (SAE) techniques in order to publish estimates of sales for 12 Census Metropolitan Areas without increasing its sample size. Apart from the obvious determination of the proper SAE model to use, challenges in the implementation of the techniques included the handling of the take-none portion of the estimates, the consistency of the SAE estimates with the provincial estimates, the derivation of a quality indicator and the determination of a confidentiality strategy that incorporates survey and modeled estimates. After a brief summary of the survey’s current methodology, the solutions to the previously stated challenges will be presented.

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