Policy Impact Analysis - 117/HR/8530

Bill Overview

Title: Property Tax Reduction Act of 2022

Description: Property Tax Reduction Act of This bill reduces federal Medicaid funding beginning in FY2025 for certain states that require political subdivisions to contribute funds towards medical assistance. Specifically, the bill applies to states that received, for FY2022, disproportionate share hospital (DSH) allotments greater than six times the national average. (DSHs are hospitals that receive additional payment under Medicaid for treating a large share of low-income patients.) Excepted from the bill are contributions that: (1) are required from a political subdivision that has a population greater than 5 million and imposes a local income tax upon its residents, or (2) were required for administrative expenses as of January 1, 2022.

Sponsors: Rep. Jacobs, Chris [R-NY-27]

Target Audience

Population: People relying on Medicaid-funded services in states with high DSH allotments

Estimated Size: 5000000

Reasoning

Simulated Interviews

Nurse (New York City, NY)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • I rely on Medicaid for my healthcare needs. This policy worries me because it might reduce the quality of care at the hospitals I can access.
  • I'm concerned about longer wait times and reduced services if funding is cut.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 6 6
Year 3 6 6
Year 5 5 6
Year 10 5 6
Year 20 5 6

Teacher (Chicago, IL)

Age: 30 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • I'm hoping the exceptions for large cities mean that my access to services won't change much.
  • It would be tragic if people in smaller towns lost their healthcare resources.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 7 7
Year 3 7 7
Year 5 7 7
Year 10 7 7
Year 20 7 7

Retired (Rural Mississippi)

Age: 70 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • The cut in funding could mean the small local hospital will have even fewer resources.
  • I worry I may have to travel farther for care or face longer wait times.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 4 5
Year 3 4 5
Year 5 3 5
Year 10 2 5
Year 20 2 5

Construction Worker (Dallas, TX)

Age: 55 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • There might be fewer structures and support for work injuries like mine if hospitals lose funding.
  • I'm already dealing with a hard job market; health issues will make it worse.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 6
Year 2 5 6
Year 3 5 6
Year 5 4 6
Year 10 4 7
Year 20 4 7

Artist (Phoenix, AZ)

Age: 40 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 6/20

Statement of Opinion:

  • Not sure how this policy might affect us freelancers, but I worry about hidden costs.
  • Reduced support might mean I have fewer affordable clinics to go to for my needs.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 4 5
Year 2 4 5
Year 3 4 6
Year 5 4 6
Year 10 4 6
Year 20 4 6

Caregiver (Seattle, WA)

Age: 60 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 7.0 years

Commonness: 8/20

Statement of Opinion:

  • I worry not just for myself but for those I care for. Access to quality services might diminish.
  • Hope the state can cushion some of this impact.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 7
Year 2 6 7
Year 3 5 7
Year 5 5 7
Year 10 4 6
Year 20 4 6

College student (Miami, FL)

Age: 23 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • This policy being about states with high allotments makes me think it might shift resources to bigger cities.
  • I'm worried about costs increasing and services decreasing in the state.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 6 7
Year 3 6 7
Year 5 6 7
Year 10 6 7
Year 20 6 7

Tech worker (San Francisco, CA)

Age: 34 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 18/20

Statement of Opinion:

  • I think large city policies cushion certain impacts because they have income tax revenues.
  • But I'm worried about long-term cost increases.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 8
Year 2 8 8
Year 3 8 8
Year 5 8 8
Year 10 8 8
Year 20 8 8

Retired factory worker (Rural Alabama)

Age: 68 | Gender: male

Wellbeing Before Policy: 3

Duration of Impact: 15.0 years

Commonness: 4/20

Statement of Opinion:

  • I have very few options if the local hospital loses funding. My wellbeing heavily depends on Medicaid coverage.
  • Traveling to bigger cities isn't feasible.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 3 3
Year 2 2 3
Year 3 2 3
Year 5 2 3
Year 10 1 3
Year 20 1 3

Part-time librarian (Louisville, KY)

Age: 52 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 7.0 years

Commonness: 7/20

Statement of Opinion:

  • How this policy changes things may depend on out-of-state politicians. We might see cuts we're not prepared for.
  • If things get tighter, I'll have to make tough choices about healthcare.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 5 5
Year 2 4 5
Year 3 4 5
Year 5 4 6
Year 10 3 6
Year 20 3 6

Cost Estimates

Year 1: $3000000000 (Low: $2500000000, High: $3500000000)

Year 2: $3100000000 (Low: $2600000000, High: $3600000000)

Year 3: $3200000000 (Low: $2700000000, High: $3700000000)

Year 5: $3400000000 (Low: $2900000000, High: $3900000000)

Year 10: $3800000000 (Low: $3300000000, High: $4300000000)

Year 100: $5000000000 (Low: $4500000000, High: $5500000000)

Key Considerations