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• W2182070203 abstract "For computing sampling variances of the Medical Expenditure Panel Survey (MEPS) Household Component estimates, the Taylor linearization method is generally used. The MEPS public use files include variance strata and cluster identifiers to facilitate variance computation using this method. Also a file containing a BRR replication structure (in the form of a set of half sample indicators) is also made available so that the users can form BRR replicate weights from the final MEPS weight to compute variances of MEPS estimates using either BRR or Fay’s modified BRR (Fay 1989) methods. These replicate weights are useful to compute variances of complex non-linear estimators for which a Taylor linear form is not easy to derive and not available in commonly used software. However, the BRR replicates derived from the final weight represent a shortcut approach because the replicates are not produced starting with the base weight and all adjustments made in different stages of weighting are not applied independently in each replicate. So the variances computed using the one-step BRR do not capture the effects of all weighting adjustments. The Taylor approach, as implemented in most software, also does not fully capture the effects of different weighting adjustments. Of particular interest here is the effect of adjustments using external control totals which are expected to reduce the variance. To assess the effects of these adjustments on the variances of MEPS estimates, a set of proper Fay’s BRR replicates were formed starting with the base weights and independently applying all weighting adjustments to each of these replicates. Variances of selected MEPS estimates were then computed from these properly created replicate weights and compared with those of the linearization method. This report presents the results of this comparison which shows that variance estimates are generally lower under the BRR method indicating that the net impact of various weighting adjustments on variance is generally downward. In most cases, relative standard errors based on BRR are at least 5-10% lower than that of Taylor approach. That means the variance estimates produced by the current recommended method are conservative and can be considered as compensating for the imputation variance and the variability in the control totals, which are unaccounted for under both methods of variance estimation. Sadeq Chowdhury Center for Financing, Access, and Cost Trends Agency for Healthcare Research and Quality 540 Gaither Road Rockville, MD 20850 Phone: (301)427-1666 Email: Sadeq.chowdhury@ahrq.hhs.gov" @default.
• W2182070203 created "2016-06-24" @default.
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• W2182070203 date "2013-01-01" @default.
• W2182070203 modified "2023-09-27" @default.
• W2182070203 title "A Comparison of Taylor Linearization and Balanced Repeated Replication Methods for Variance Estimation in Medical Expenditure Panel Survey" @default.
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