The Affordable Care Act and Mortality

Sarah Miller

University of Michigan

Ross School of Business

Context

High degree of inequality in health outcomes by income.
 

  • 55-64 year olds in households earning under 138 FPL have annual mortality rate of 1.7pp. In households earning 400%FPL+: 0.4pp. 4x higher for low income households.
  • 787% higher chance of dying from diabetes, 552% higher chance of dying from cardiovascular disease, 813% higher chance of dying from respiratory disease.
  • Correlation between income and health exists in all countries, correlation is higher in the US than in other wealthy countries (Semyonov, Lewin-Epstein and Maskileyson 2013).

Could the coverage expansions help reduce these very high mortality rates?

Overall Coverage Gains

The number of people with insurance increased by about 20 million

Source: Duggan, Goda, Jackson 2017 NTA

2014 Coverage Expansions

1.Eligibility for Medicaid extended to everyone with incomes below 138% of the Federal Poverty Level (effective Jan 2014*)

 

2.New tax credits for private insurance for families between 100 and 400% of the Federal Poverty Level (effective Jan 2014)

 

* Several states elected to expand Medicaid at different times, or not at all

 

Opted to Expand in 2014

Coverage Gains Largest in states that expanded Medicaid

Sample among low income adults, Miller and Wherry 2016 New England Journal of Medicine

Analysis of ACA Medicaid Expansions

  • In joint work with Altekruse, Johnson, and Wherry...
  • Take advantage of non-universal adoption of the Medicaid expansion that resulted from the 2012 Supreme Court decision.
  • Use a "difference in differences" quasi-experimental empirical design

Compare changes in outcomes across expansion and non-expansion states.

Expansion states and non-expansion states might be at different levels, but are they on the same trajectory?

Difference in Differences

Let's go back to this figure:

Difference in Differences

Let's go back to this figure:

Linked Survey and Admin Data

Link data from American Community Survey (ACS) to Social Security Administration mortality records

  • ACS is large survey (4 to 4.5 million respondents per year) and has information on household income, eligibility for other programs, and other information relevant to determine who is most likely to gain eligibility
  • We focus on individuals age 55-64, low income or disadvantaged (no high school degree), not otherwise Medicaid eligible, citizens.
  • A large % of this group gained Medicaid eligibility.
  • Follow this group across expansion and non-expansion states for 4 years after the ACA expansions.

How Many Gained Eligibility?

Nearly half of the group gained eligibility

How Many Enrolled?

About 10-11percent enrolled (possibly higher due to misreporting in survey)

Takeaway?

In the paper, we show this for other measures and other surveys (NHIS) as well.

  • Successfully identified a group that was highly impacted by Medicaid expansions.
  • ACA policy had meaningful impact on coverage for this group.

 

Mortality Reduction from Medicaid

Reduction of 0.09 percentage points first year, increasing to about 0.2 percentage points by year 4

Mortality Reduction from Medicaid

Is this big or small?

~3.7 million people meeting our sample criteria in expansion states: implies 19,200 deaths averted over the period we study

 

~3 million people meeting our sample criteria in non-expansion states: 

implies 15,600 excess deaths that would have been averted if the state had expanded.

In Georgia: 336 additional deaths per year due to non-expansion

Mortality Reduction from Exchange Coverage

How much has exchange coverage reduced mortality? Harder to measure because exchanges were everywhere!

 

Experiment from the IRS (Golden, Lurie and McCubbin 2019)

  • Send letters to those owing a penalty for being uninsured to encourage them to sign up through the exchanges. 
  • Randomly assign who gets a letter and who does not.
  • Those who got letters were more likely to sign up for insurance and also had significantly lower mortality after one year.
  • Sample age 45-64, uninsured.

Mortality Reduction from Exchange 

Reduction in mortality rate of 0.063pp. Implies 6 months of health insurance -> 1pp reduction in annual mortality. Wow!

~5.5 million in sample age group who signed up for exchanges->55,000 lives per year

Takeaway

Big reduction in mortality for older adults because of the ACA (both studies find no change in mortality for younger adults), easily exceeding 50,000 people per year under conservative assumptions.

Is this obvious????

 

-Increases coverage

-Increases use of life saving care

-Increases use of valuable prescription drugs

Questions?

Bonus Slides

Other ACA effects

Source: Duggan, Goda and Jackson 2017 NTA

Other ACA effects

Source: BLS

Other ACA effects

Other ACA effects

Early retirement ( Levy, Buchmueller, and Nikpay (2017) )

Other ACA effects

Hours worked based on Medicaid expansion status

Kaestner et al 2017

Other ACA effects

Kaestner et al 2017

Other ACA effects

As % total employment (BLS)

Other ACA effects

Review of 13 empirical studies on labor supply from Leonard Davis Institute of Health Econ at Penn (Abraham and Royalty 2017)