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RAWBWT
Replicate weight, well-being module activity-level weight

Codes

RAWBWT is a 15-digit numeric variable providing the replicate weight for the Well-being module respondents.

NOTE: One-hundred sixty sets of 15-digit activity-level replicate weights (RAWBWT_1- RAWBWT_160) are included in extracts where this selection is made.

Description

Replicate weights allow users to generate empirically derived standard errors for estimates they produce. In theory, the standard error of an estimate measures the variation that can be expected in the estimated value of a statistic across multiple samples drawn from a given population. Researchers can use replicate weights to construct an estimate of the true standard error when only sample data are available.

RAWBWT is available for Well-being Module respondents only. Selecting RAWBWT adds 160 activity-level replicate weights to your data set (variables named RAWBWT_1 through RAWBWT_160). They are only available to users who request hierarchical extracts. Please be aware that including these variables will make your data file quite large. The Census Bureau produced these replicate weights by using what is known as the Successive Difference Replication (SDR) method, which involves repeated implementations of the initial weighting algorithm.

To calculate standard errors for an estimate, users should generate 160 separate estimates using each of the 160 replicate weights RAWBWT_1 through RAWBWT_160. Along with the single full-sample estimate that can be generated using AWBWT, this information can then be used to compute the standard error of the estimate using the following formula provided by the Census Bureau:

where Y is the characteristic of interest,

Yo is the original estimate of Y,
the SUM is over 160 replicate estimates, and
Yi is the ith replicate estimate of Y.

Once calculated, the standard error is useful for constructing confidence intervals and in hypothesis testing. Both SAS and Stata include procedures that are designed to use the replicate weights to produce estimates of means, proportions and regression coefficients with correctly-calculated standard errors.
Additional information about the methodology used by the Census Bureau to create replicate weights can be found in Chapter 14 of CPS Technical Paper 66, available here.

User Note: The successive difference replication approach (SDR) is different from other methods for creating replicate weights such as balanced repeated replication (BRR) and jackknife estimation.

This variable is available via extracts that are hierarchical or rectangular (activity) (more info on extract formats).

Comparability

This variable is comparable across years.

Universe

  • Well-Being Module activities.

Availability

  • 2010, 2012-2013

Flags

This variable has no flags.