Publication Cover

More About AJHE


Article Metrics

Altmetric

About article usage data:

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Aenean euismod bibendum laoreet. Proin gravida dolor sit amet lacus accumsan et viverra justo commodo. Proin sodales pulvinar tempor. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur ridiculus mus.


Previous research found that Medicaid expansions in New York, Arizona, and Maine in the early 2000s reduced mortality. I revisit this question with improved data and methods, exploring distinct causes of death and presenting a cost-benefit analysis. Differences-in-differences analysis using a propensity score control group shows that all-cause mortality declined by 6 percent, with the most robust reductions for health-care amenable causes. HIV-related mortality (affected by the recent introduction of antiretrovirals) accounted for 20 percent of the effect. Mortality changes were closely linked to county-level coverage gains, with one life saved annually for every 239 to 316 adults gaining insurance. The results imply a cost per life saved ranging from $327,000 to $867,000 which compares favorably with most estimates of the value of a statistical life.

Benjamin D. Sommers
Department of Health Policy and Management, Harvard T. H. Chan School of Public Health

Previous research found that Medicaid expansions in New York, Arizona, and Maine in the early 2000s reduced mortality. I revisit this question with improved data and methods, exploring distinct causes of death and presenting a cost-benefit analysis. Differences-in-differences analysis using a propensity score control group shows that all-cause mortality declined by 6 percent, with the most robust reductions for health-care amenable causes. HIV-related mortality (affected by the recent introduction of antiretrovirals) accounted for 20 percent of the effect. Mortality changes were closely linked to county-level coverage gains, with one life saved annually for every 239 to 316 adults gaining insurance. The results imply a cost per life saved ranging from $327,000 to $867,000 which compares favorably with most estimates of the value of a statistical life.

Benjamin D. Sommers
Department of Health Policy and Management, Harvard T. H. Chan School of Public Health