Policy Impact Analysis - 117/S/4702

Bill Overview

Title: PPSA Act of 2022

Description: of 2022 This bill prohibits executive agency positions in the competitive service from being placed in the excepted service, unless such positions are placed in Schedules A through E as in effect on September 30, 2020. The bill also prohibits positions in the excepted service from being placed in any schedule other than the aforementioned schedules. On October 21, 2020, former President Donald Trump issued an executive order titled Creating Schedule F in the Excepted Service . The order placed executive agency positions that are of a confidential, policy-determining, policy-making, or policy-advocating character, and that are not normally subject to change as a result of a presidential transition, under a new schedule in the excepted service (Schedule F) instead of the competitive service. The order also required any such positions in the excepted service to be reclassified to Schedule F. The order was revoked by President Joe Biden on January 22, 2021.

Sponsors: Sen. Kaine, Tim [D-VA]

Target Audience

Population: Federal government employees

Estimated Size: 3000000

Reasoning

Simulated Interviews

Policy Analyst (Washington, D.C.)

Age: 25 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • I feel more secure knowing that my position isn't at risk of reclassification without checks.

Wellbeing Over Time (With vs Without Policy)

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

Senior Advisor (Arlington, VA)

Age: 45 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • The reinstatement of job protections feels like a return to normal.
  • Potential reclassification was a significant stress.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 9 7
Year 2 9 6
Year 3 9 6
Year 5 9 6
Year 10 8 5
Year 20 8 5

Administrative Assistant (Denver, CO)

Age: 34 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 10/20

Statement of Opinion:

  • I was less worried about Schedule F—it seemed more relevant for senior positions.

Wellbeing Over Time (With vs Without Policy)

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

IT Specialist (Los Angeles, CA)

Age: 30 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • I'm glad protections are back, though Schedule F didn't apply to my role.

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 6 6
Year 10 6 6
Year 20 6 6

Department Head (Chicago, IL)

Age: 50 | Gender: other

Wellbeing Before Policy: 8

Duration of Impact: 15.0 years

Commonness: 3/20

Statement of Opinion:

  • Strengthening the position classifications protects our operational integrity.
  • This safeguards many careers in my department.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 9 7
Year 2 9 7
Year 3 9 6
Year 5 8 6
Year 10 8 5
Year 20 7 5

Senior Economist (Atlanta, GA)

Age: 55 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • The policy removes anxiety about my future employment and influence.
  • Schedule F was concerning more for job security than day-to-day work.

Wellbeing Over Time (With vs Without Policy)

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

Public Affairs Officer (New York, NY)

Age: 40 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • While it’s great for many, I feel only indirectly supported.

Wellbeing Over Time (With vs Without Policy)

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

Junior Policy Analyst (San Diego, CA)

Age: 29 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • The policy makes me feel safer about advancing in my career here.
  • Previously, it was unclear what protections I’d have.

Wellbeing Over Time (With vs Without Policy)

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

Human Resources Manager (Seattle, WA)

Age: 38 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 6/20

Statement of Opinion:

  • Restoring previous job classifications helps stabilize our roles and responsibilities.
  • It reduces the confusion that reclassification caused.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 6
Year 2 8 5
Year 3 7 5
Year 5 7 5
Year 10 7 5
Year 20 6 4

Data Analyst (Boston, MA)

Age: 42 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 11/20

Statement of Opinion:

  • My position felt secure, but I support the return to established classifications for those affected.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $15000000 (Low: $10000000, High: $20000000)

Year 2: $15000000 (Low: $10000000, High: $20000000)

Year 3: $15000000 (Low: $10000000, High: $20000000)

Year 5: $15000000 (Low: $10000000, High: $20000000)

Year 10: $15000000 (Low: $10000000, High: $20000000)

Year 100: $15000000 (Low: $10000000, High: $20000000)

Key Considerations