Abstract
Christina L. Harpenau, Joan Coleman, and Mark Lincoln (1995) "Evaluation Of Confidence Interval
Methodology For The Occupational Compensation Survey
Program," Proceedings of the Section on Survey Research
Methods, American Statistical Association.
Previous work by Dorfman and Valliant (1993) and Casady,
Dorfman, and Wang (1994) on the Occupational Compensation
Survey Program (OCSP) indicated that current confidence
interval methodology tended to provide coverage which was
less than the stated level for estimated mean wages. In the
latter paper, alternative methodologies were developed to
address this problem. A study was undertaken to evaluate
these proposed methodologies. A population of establishments
was created using available sample data from the OCSP. This
population was constructed to have the properties of a
"typical" MSA in terms of size, variety of
occupations, size and number of establishments. This
population served as the basis for a series of simulation
studies to evaluate the current and alternate confidence
interval methodologies. In addition, the study included the
evaluation of alternative methods of collapsing strata for
purposes of variance estimation. Based on the results of this
study, procedures for estimating the precision of estimate
mean wages in the OCSP will be revised as necessary.
Last Modified Date: July 19, 2008
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