Abstract
Measures used by the U.S. Bureau of the Census to assay misclassification and correct marginal distributions—the net difference rate and the index of inconsistency—may produce misleading results and do not fully use information about inconsistency in repeated measurements. We show how multiplicative models of classifications of repeated measurements can be used to locate sources of inconsistency in marginal classifications, sources of discrepancies in classification, and differences between categories in levels of agreement and disagreement. The models are illustrated with an occupational classification from the 1970 CPS-Census Match. Some of our results differ from those reported earlier by the Bureau of the Census.
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