Heterogeneity within the Oregon Health Insurance Experiment: An application of causal forests

Zaid Hattab, Edel Doherty, Andrew M. Ryan, Stephen O'Neill

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

2 Citations (Scopus)

Abstract

Existing evidence regarding the effects of Medicaid expansion, largely focused on aggregate effects, suggests health insurance impacts some health, healthcare utilization, and financial hardship outcomes. In this study we apply causal forest and instrumental forest methods to data from the Oregon Health Insurance Experiment (OHIE), to explore heterogeneity in the uptake of health insurance, and in the effects of (a) lottery selection and (b) health insurance on a range of health-related outcomes. The findings of this study suggest that the impact of winning the lottery on the health insurance uptake varies among different subgroups based on age and race. In addition, the results generally coincide with findings in the literature regarding the overall effects: lottery selection (and insurance) reduces out-ofpocket spending, increases physician visits and drug prescriptions, with little (short-term) impact on the number of emergency department visits and hospital admissions. Despite this, we detect quite weak evidence of heterogeneity in the effects of the lottery and of health insurance across the outcomes considered.

Original languageEnglish
Article numbere0297205
JournalPLoS ONE
Volume19
Issue number1 January
DOIs
Publication statusPublished - Jan 2024
Externally publishedYes

Fingerprint

Dive into the research topics of 'Heterogeneity within the Oregon Health Insurance Experiment: An application of causal forests'. Together they form a unique fingerprint.

Cite this