Bill Overview
Title: Federal Government Equity Improvement Act of 2022
Description: This bill addresses issues related to equity and providing government services more equitably, including by (1) requiring each federal agency to establish an Agency Equity Advisory Team, (2) establishing an Equitable Data Working Group within the Chief Data Officer Council.
Sponsors: Rep. Maloney, Carolyn B. [D-NY-12]
Target Audience
Population: Global Population Relying on Government Services
Estimated Size: 331000000
- The bill targets equity within federal services, affecting a broad spectrum of the population who rely on these services, both directly and indirectly.
- Establishment of Agency Equity Advisory Teams suggests a focus on enhancing how government services are delivered leading to potential impacts on diverse groups served by federal agencies.
- The creation of an Equitable Data Working Group implies efforts to gather and analyze data more fairly, which could lead to policy changes impacting many people served by government programs.
Reasoning
- Considering the policy's intent to promote equity through improved data practices, individuals who rely on federal services directly, such as public education or social security beneficiaries, may notice enhancements in service delivery. This could lead to improved self-reported wellbeing as access and service quality improve.
- The interaction between improved data practices and individual outcomes will likely be subtle and indirect, potentially affecting self-reported wellbeing over extended periods rather than immediately.
- People in marginalized or underserved communities might experience a more significant impact from the policy due to its focus on equity. Their wellbeing could increase as disparities in service delivery are addressed.
- Given the budget and scope limits, while the policy may initiate positive systemic changes, its effects on individual wellbeing may take time to materialize and be perceived.
- A large portion of the population may not notice immediate direct effects on their wellbeing, especially if they are not part of the target groups identified for initial intervention by the equity teams.
Simulated Interviews
Federal Employee (Washington, D.C.)
Age: 45 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 10.0 years
Commonness: 15/20
Statement of Opinion:
- The Equity Improvement Act seems promising, especially as it pushes for changes within agencies. I hope it leads to more inclusive policy-making.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 6 |
| Year 2 | 6 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 7 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 8 | 6 |
Data Scientist (New York, NY)
Age: 34 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 5.0 years
Commonness: 10/20
Statement of Opinion:
- The Equitable Data Working Group could really shift how impactful policies are in data-driven ways, which I'm excited about.
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 | 8 | 7 |
| Year 10 | 8 | 7 |
| Year 20 | 7 | 7 |
Retired (Los Angeles, CA)
Age: 65 | Gender: female
Wellbeing Before Policy: 5
Duration of Impact: 20.0 years
Commonness: 18/20
Statement of Opinion:
- If this leads to better service delivery in Social Security, that would be beneficial. I haven't seen a change yet.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 5 |
| Year 2 | 5 | 5 |
| Year 3 | 6 | 5 |
| Year 5 | 6 | 5 |
| Year 10 | 7 | 5 |
| Year 20 | 7 | 5 |
Healthcare Worker (Chicago, IL)
Age: 29 | Gender: other
Wellbeing Before Policy: 6
Duration of Impact: 10.0 years
Commonness: 12/20
Statement of Opinion:
- Improving equity in federal services could assist in reducing healthcare disparities. I hope we see these benefits soon.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 6 | 6 |
| Year 2 | 6 | 6 |
| Year 3 | 7 | 6 |
| Year 5 | 8 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 8 | 6 |
Small Business Owner (Phoenix, AZ)
Age: 50 | Gender: male
Wellbeing Before Policy: 8
Duration of Impact: 0.0 years
Commonness: 20/20
Statement of Opinion:
- I don't interact much with government programs, so I don't expect any change in my wellbeing from this policy.
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 |
University Student (Atlanta, GA)
Age: 22 | Gender: female
Wellbeing Before Policy: 7
Duration of Impact: 8.0 years
Commonness: 14/20
Statement of Opinion:
- If equity teams improve financial aid processes, it could help many students like me.
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 | 8 | 7 |
| Year 10 | 8 | 7 |
| Year 20 | 9 | 7 |
Teacher (Houston, TX)
Age: 42 | Gender: female
Wellbeing Before Policy: 6
Duration of Impact: 10.0 years
Commonness: 16/20
Statement of Opinion:
- Addressing equity in education funding is crucial. If this bill helps, it would significantly improve my job satisfaction.
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 | 7 | 6 |
| Year 10 | 8 | 6 |
| Year 20 | 8 | 6 |
Veteran (Miami, FL)
Age: 58 | Gender: male
Wellbeing Before Policy: 5
Duration of Impact: 15.0 years
Commonness: 13/20
Statement of Opinion:
- Any change that improves VA services would be welcome, but I'm not sure how immediate these changes will be.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 5 | 5 |
| Year 2 | 5 | 5 |
| Year 3 | 5 | 5 |
| Year 5 | 6 | 5 |
| Year 10 | 6 | 5 |
| Year 20 | 7 | 5 |
Tech Executive (Seattle, WA)
Age: 37 | Gender: female
Wellbeing Before Policy: 8
Duration of Impact: 0.0 years
Commonness: 17/20
Statement of Opinion:
- Policies like these don't directly impact my life, but they hold potential for societal benefits.
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 |
Academic Researcher (Boston, MA)
Age: 55 | Gender: male
Wellbeing Before Policy: 7
Duration of Impact: 10.0 years
Commonness: 11/20
Statement of Opinion:
- It's too early to predict detailed impacts of the policy, but it could drive meaningful shifts in service equity.
Wellbeing Over Time (With vs Without Policy)
| Year | With Policy | Without Policy |
|---|---|---|
| Year 1 | 7 | 7 |
| Year 2 | 7 | 7 |
| Year 3 | 8 | 7 |
| Year 5 | 8 | 7 |
| Year 10 | 9 | 7 |
| Year 20 | 9 | 7 |
Cost Estimates
Year 1: $100000000 (Low: $75000000, High: $150000000)
Year 2: $100000000 (Low: $75000000, High: $150000000)
Year 3: $105000000 (Low: $80000000, High: $160000000)
Year 5: $110000000 (Low: $85000000, High: $165000000)
Year 10: $0 (Low: $0, High: $0)
Year 100: $0 (Low: $0, High: $0)
Key Considerations
- The impact of this act might vary significantly across different agencies depending on their size and current inefficiencies.
- There is the potential for overlap and redundancy with existing equity-focused initiatives unless coordinated properly.
- Long-term impacts on equity and service delivery efficiency could significantly outweigh initial implementation costs.