Medicaid Under-reporting in the Current Population Survey and One Approach for a Partial Correction

by Michael Davern, Jacob Alex Klerman, Jeanette Ziegenfussi

Full Document

FormatFile SizeNotes
PDF file 0.2 MB

Use Adobe Acrobat Reader version 10 or higher for the best experience.

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.

This report is part of the RAND Corporation Working paper series. RAND working papers are intended to share researchers' latest findings and to solicit informal peer review. They have been approved for circulation by RAND but may not have been formally edited or peer reviewed.

Permission is given to duplicate this electronic document for personal use only, as long as it is unaltered and complete. Copies may not be duplicated for commercial purposes. Unauthorized posting of RAND PDFs to a non-RAND Web site is prohibited. RAND PDFs are protected under copyright law. For information on reprint and linking permissions, please visit the RAND Permissions page.

The RAND Corporation is a nonprofit institution that helps improve policy and decisionmaking through research and analysis. RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.