Policy Impact Analysis - 117/S/4477

Bill Overview

Title: Eliminate Useless Reports Act of 2022

Description: This bill requires federal agencies to include a list of outdated or duplicative reporting requirements in their annual budget justifications. The agencies must also include recommendations for ending, modifying, consolidating, or reducing the frequency of each of the outdated or duplicative reports.

Sponsors: Sen. Ossoff, Jon [D-GA]

Target Audience

Population: People affected by changes in federal agency efficiency

Estimated Size: 330000000

Reasoning

Simulated Interviews

Federal budget analyst (Washington D.C.)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • The policy could streamline our workload, which is currently bogged down by unnecessary reports.
  • It's a positive move towards making government operations more efficient.
  • I am worried about the transition period and how it might affect our workload initially.

Wellbeing Over Time (With vs Without Policy)

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

Government contractor (New York)

Age: 38 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • I'm concerned about the potential reduction in contracts if reports are streamlined.
  • While I see the logical benefits, it could hurt my business in the short term.

Wellbeing Over Time (With vs Without Policy)

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

Public service advisor (Atlanta, Georgia)

Age: 50 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • This policy is a step in the right direction for government efficiency and could improve public trust.
  • The focus on eliminating wasteful practices is commendable.

Wellbeing Over Time (With vs Without Policy)

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

Data scientist (San Francisco, California)

Age: 29 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • Streamlining reports should not compromise the data integrity.
  • I am optimistic that this will lead to better data use and transparency.

Wellbeing Over Time (With vs Without Policy)

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

Retired federal employee (Chicago, Illinois)

Age: 62 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 10/20

Statement of Opinion:

  • I wish such policies had been in place when I was working.
  • It'll be beneficial for current employees, reducing unnecessary stress.

Wellbeing Over Time (With vs Without Policy)

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

Federal agency scientist (Houston, Texas)

Age: 34 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • Removing outdated reports could free up more time for research activities.
  • It's a positive but overdue change.

Wellbeing Over Time (With vs Without Policy)

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

Policy analyst (Denver, Colorado)

Age: 40 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 3/20

Statement of Opinion:

  • Administrative efficiency is crucial, and this policy is a positive development.
  • The impact might be gradual but should eventually be noticeable.

Wellbeing Over Time (With vs Without Policy)

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

Public sector lawyer (New Orleans, Louisiana)

Age: 43 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • Less redundancy in reports means more time focusing on important legal aspects.
  • It's overall a good policy straightforward in its approach to reduce waste.

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 8 7
Year 20 8 7

Government watchdog employee (Los Angeles, California)

Age: 55 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • The policy should enhance transparency as outdated practices are abolished.
  • I hope this shifts focus towards more meaningful reports.

Wellbeing Over Time (With vs Without Policy)

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

Software developer at a consultancy (Miami, Florida)

Age: 30 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • Our work might shift but could open up new opportunities for efficiency tools.
  • The change is welcome and could bring positive innovation.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $5000000 (Low: $3000000, High: $7000000)

Year 2: $4000000 (Low: $3000000, High: $5000000)

Year 3: $3000000 (Low: $2000000, High: $4000000)

Year 5: $2000000 (Low: $1000000, High: $3000000)

Year 10: $1000000 (Low: $500000, High: $1500000)

Year 100: $1000000 (Low: $500000, High: $1500000)

Key Considerations