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The Australian Bureau of Statistics (ABS) is embarking on a transformation program, which includes, amongst other things, re-engineering, using different collection modes for survey data, and using different, but more efficient, sampling frames and estimation methods for official statistics. Whilst this transformation is expected to bring about positive changes to official statistics, there is a risk that such changes could induce statistical impacts in some ABS time series, which could be misinterpreted as real world changes. The resulting challenge is to develop methodologies to monitor, measure and, where needed, adjust for impacts for any affected ABS time series.
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