Which Medicaid Recipients Might Be Eligible for SSI?
This study uses machine learning models on Medicaid data to estimate that the take-up rate for children's Supplemental Security Income (SSI) is approximately 70%, identifying potentially eligible children who often have higher health care utilization than current SSI recipients.
Though social safety net programs offer important benefits, take-up is often incomplete.
Using machine learning models on Medicaid data, authors estimate the take-up rate for children’s Supplemental Security Income (SSI), and the characteristics of potentially eligible children who do not receive benefits. Using over 1,000 measures of health care utilization, researchers estimate statespecific models that generate the probability that each child not receiving SSI is eligible. Using the expected number of potentially eligible children, the implied take-up rate for SSI is approximately 70 percent. Potentially eligible children have intensive health care usage, often more intensive than current child SSI recipients.
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