|Page tools: Print Page Print All|
The underlying principle adhered to in the weighting is that any person in the sample will receive the same weight, regardless of whether or not they were counted in the Census. In a simplistic example the weights of PES people that were counted in the Census should be adjusted so that the sum of the weights is equal to the number of people counted in the Census. The weights applied to PES sample respondents who were not counted in Census should be adjusted in the same way as the weights of those that were counted. The sum of the weights of all PES respondents will then be an estimate of the number of people that should have been counted in the Census.
The weight adjustment applied to a person depends only on the information reported in the PES.
As a final step in weighting, weights are adjusted so that the PES estimates represent people in non-private dwellings as well as private dwellings. This final step uses weighting class categories of state or territory, region, age and sex only, as information on other items is not considered reliable for non-private dwellings.
The method used for adjusting weights to meet population totals is the Prediction Regression (PREG) estimator. PREG estimation is able to take into account people counted multiple times in the Census and people who give different responses between PES and Census. A detailed description of the PREG estimator can be found in Research Paper: An Estimating Equation Approach to Census Coverage Adjustment, May 2007 (cat. no. 1351.0.55.019).
These documents will be presented in a new window.