Policy Impact Analysis - 117/HR/7723

Bill Overview

Title: To amend the American Rescue Plan Act of 2021 to extend the availability of paid leave for Federal employees for purposes relating to COVID-19, and for other purposes.

Description: This bill extends paid leave relating to COVID-19 (e.g., medical, caregiver, and immunization leave) for federal employees until December 31, 2022. The bill applies retroactively to October 1, 2021.

Sponsors: Rep. Maloney, Sean Patrick [D-NY-18]

Target Audience

Population: Federal employees in the United States

Estimated Size: 2100000

Reasoning

Simulated Interviews

Policy Analyst (Washington, D.C.)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 6/20

Statement of Opinion:

  • I don't expect to use the leave since I'm fully vaccinated and work mostly from home.
  • It's comforting to know that if things change, I have the option.

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 5
Year 10 5 5
Year 20 4 4

Federal IT Specialist (New York)

Age: 29 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 1.5 years

Commonness: 8/20

Statement of Opinion:

  • This policy gives me peace of mind since my parents are at risk.
  • Knowing I can take leave if needed helps reduce some stress.

Wellbeing Over Time (With vs Without Policy)

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

Federal Park Ranger (California)

Age: 37 | Gender: other

Wellbeing Before Policy: 4

Duration of Impact: 2.0 years

Commonness: 4/20

Statement of Opinion:

  • It's a relief knowing I can take paid leave should I need medical care.
  • I wish the policy wasn't just for COVID-related issues.

Wellbeing Over Time (With vs Without Policy)

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

Federal USPS Worker (Texas)

Age: 50 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 2.0 years

Commonness: 5/20

Statement of Opinion:

  • I now know that I have the buffer to care for my husband safely.
  • This should've been implemented earlier.

Wellbeing Over Time (With vs Without Policy)

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

Call Center Rep (Virginia)

Age: 31 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 7/20

Statement of Opinion:

  • This policy won't impact me much; I'm not in a high-risk environment.
  • Good for those who really need it.

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 6 6
Year 10 6 6
Year 20 5 5

Federal Financial Analyst (Illinois)

Age: 39 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • I can focus on recovering without financial worries.
  • This policy provides a critical safety net for my family.

Wellbeing Over Time (With vs Without Policy)

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

Federal Flight Inspector (Florida)

Age: 53 | Gender: male

Wellbeing Before Policy: 3

Duration of Impact: 4.0 years

Commonness: 3/20

Statement of Opinion:

  • This kind of policy becomes vital due to my travel schedule and health condition.
  • I can better manage my health with reduced stress about taking leave.

Wellbeing Over Time (With vs Without Policy)

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

Federal HR Specialist (Maryland)

Age: 34 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 1.0 years

Commonness: 6/20

Statement of Opinion:

  • It gives added security, though I'm stable in my job.
  • The extension should include more comprehensive health issues.

Wellbeing Over Time (With vs Without Policy)

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

Federal Research Scientist (Ohio)

Age: 42 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 0.5 years

Commonness: 7/20

Statement of Opinion:

  • While I work remotely, knowing the leave is available is relieving.
  • I support the policy as a responsible societal safety net.

Wellbeing Over Time (With vs Without Policy)

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

Federal Wildlife Officer (Colorado)

Age: 26 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 2.0 years

Commonness: 8/20

Statement of Opinion:

  • This policy adds a layer of comfort as I'm new and wasn't sure about leave policies.
  • Overall, it's good but temporary.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $500000000 (Low: $350000000, High: $650000000)

Year 2: $0 (Low: $0, High: $0)

Year 3: $0 (Low: $0, High: $0)

Year 5: $0 (Low: $0, High: $0)

Year 10: $0 (Low: $0, High: $0)

Year 100: $0 (Low: $0, High: $0)

Key Considerations