The American Community Survey by Committee on National Statistics, National Research Council

By Committee on National Statistics, National Research Council

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20 = 120/100. 20 (90/68). 00). In a sense, instead of a cell-based model, one is using a type of raking. The reduction in the variability of the weights is not a compelling argument to use this procedure, especially if there are strong effects that are particular to tract-mode combinations. However, in the absence of strong tract-mode combination effects, it is difficult to design alternatives to this weighting procedure that have obvious advantages and that also keep the variability of the weights from being too large.

The ACS will be collecting information that could be used to retarget the sample. This approach raises several problems. One problem is the size of geographic aggregation at which this process would operate. The larger the area, the greater the travel for household survey interviewers if they are using CAPI. It is not clear at what geographic levels ACS will be informative. Certainly, oversampling individual blocks will not be feasible with ACS. For higher levels of geographic aggregation, one might need to accumulate data over several years to inform targeting, but then the information becomes somewhat dated.

As the decade progresses, those areas are less and less useful for this purpose. The ACS will be collecting information that could be used to retarget the sample. This approach raises several problems. One problem is the size of geographic aggregation at which this process would operate. The larger the area, the greater the travel for household survey interviewers if they are using CAPI. It is not clear at what geographic levels ACS will be informative. Certainly, oversampling individual blocks will not be feasible with ACS.

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