The Current Population Survey (CPS) is well known to under-estimate the number of people with Medicaid. This project matched CPS records to Medicaid administrative data. Those matched data were used to estimate models of error rates (i.e., the probability that someone who says that they do not have Medicaid has Medicaid; and vice versa). This document reports the results of that estimation. The resulting model parameters can be used to construct an imputation model for true Medicaid status.
This paper series was made possible by the NIA funded RAND Center for the Study of Aging and the NICHD funded RAND Population Research Center.
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