Volume 50 | Number 6 | December 2015

Abstract List

Michel H. Boudreaux Ph.D., Kathleen Thiede Call Ph.D., Joanna Turner M.S., Brett Fried M.S., Brett O'Hara Ph.D.


Examine measurement error to public health insurance in the American Community Survey ().

Data Sources/Study Setting

The and the Medicaid Statistical Information System ().

Study Design

We tabulated the two data sources separately and then merged the data and examined health insurance reports among cases known to be enrolled in Medicaid or expansion Children's Health Insurance Program () benefits.

Data Collection/Extraction Methods

The two data sources were merged using protected identification keys. respondents were considered enrolled if they had full benefit Medicaid or expansion coverage on the date of interview.

Principal Findings

On an aggregated basis, the overcounts the . After merging the data, we estimate a false‐negative rate in the 2009 of 21.6 percent. The false‐negative rate varies across states, demographic groups, and year. Of known Medicaid and expansion enrollees, 12.5 percent were coded to some other coverage and 9.1 percent were coded as uninsured.


The false‐negative rate in the is on par with other federal surveys. However, unlike other surveys, the overcounts the on an aggregated basis. Future work is needed to disentangle the causes of the overcount.