Journal of Official Statistics, Vol.15, No.3, 1999. pp. 431–448
Effects of Composite Weights on Some Estimates from the Current Population Survey
Janice Lent, Stephen M. Miller, Patrick J. Cantwell, and Martha Duff
Abstract:We examine the effect of a new composite estimation method on estimates from the
Current Population Survey, the U.S. labor force survey. Currently, the AK
composite estimator is applied directly for each characteristic of interest. To ensure
consistency, the same coefficients are used for all estimates, though they are optimal
only for unemployment totals. The new method involves two steps: (1) compute composite
estimates for the main labor force categories, classified by important demographic
characteristics; (2) through a series of ratio adjustments, adjust the micro-data weights
to agree with these composite estimates. The new technique provides increased operational
simplicity for micro-data users and allows optimization of compositing coefficients for
different labor force categories. We discuss the effect of the procedure on a large number
of estimates produced from the survey.
Keywords:Raking ratio estimation; AK estimator; labor force estimates.
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