TY  - RPRT
        AU  - Denteh, Augustine
AU  - Liebert, Helge
        TI  - Who Increases Emergency Department Use? New Insights from the Oregon Health Insurance Experiment
        PY  - 2022/Mar/
        PB  - Institute of Labor Economics (IZA)
        CY  - Bonn
        T2  - IZA Discussion Paper
        IS  - 15192
        UR  - https://www.iza.org/index.php/publications/dp15192
        AB  - We provide new insights regarding the finding that Medicaid increased emergency department (ED) use from the Oregon experiment. We find meaningful heterogeneous impacts of Medicaid on ED use using causal machine learning methods. The treatment effect distribution is widely dispersed, and the average effect is not representative of most individualized treatment effects. A small group—about 14% of participants—in the right tail of the distribution drives the overall effect. We identify priority groups with economically significant increases in ED usage based on demographics and prior utilization. Intensive margin effects are an important driver of increases in ED utilization.
        KW  - Medicaid
KW  - ED use
KW  - effect heterogeneity
KW  - causal machine learning
KW  - optimal policy
        ER  -