Policy Impact Analysis - 117/HR/6789

Bill Overview

Title: Identifying and Eliminating Wasteful Programs Act

Description: This bill requires each federal agency to compile a list of unnecessary programs. Specifically, each agency must compile a list of such programs, based on guidance provided by the Office of Management and Budget, that are unnecessary, defunct, or duplicative federal programs; another agency could administer more effectively; or could operate more effectively if the program or activity were consolidated with other programs or activities. Additionally, the President must include the list of identified programs or program activities in the annual budget submitted to Congress. An agency may submit to Congress recommendations for statutory changes to eliminate or consolidate programs or program activities identified in the list.

Sponsors: Rep. Rice, Tom [R-SC-7]

Target Audience

Population: People relying on programs administered by federal agencies

Estimated Size: 331000000

Reasoning

Simulated Interviews

Federal Employee (Washington, D.C.)

Age: 54 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • I'm skeptical about this policy actually improving efficiency. I've seen a lot of 'streamlining' efforts waste more resources than they save.
  • My main concern is job security. If my program is cut, I might have to move or take a less stable job at my age.

Wellbeing Over Time (With vs Without Policy)

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

IT Consultant for Federal Programs (New York, NY)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • I hope that consolidations will lead to larger, more stable contracts, but there's always a fear some agencies might cut IT budgets.
  • Efficiency could mean more work for us if they streamline successfully.

Wellbeing Over Time (With vs Without Policy)

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

Unemployed (Los Angeles, CA)

Age: 30 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 3.0 years

Commonness: 6/20

Statement of Opinion:

  • I think this policy might make it harder for some people to find jobs in contracting.
  • Hopefully, streamlining will open new opportunities eventually, but that's not going to pay my bills now.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Cleveland, OH)

Age: 67 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • I doubt my benefits will change, but there's a little worry there.
  • If they can really cut waste, maybe it will help improve services overall.

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 7 7

Community Organizer (Austin, TX)

Age: 29 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 7.0 years

Commonness: 7/20

Statement of Opinion:

  • I'm concerned that any cuts will disproportionately affect the most vulnerable people.
  • Streamlining might improve some services but at the cost of accessibility for many groups.

Wellbeing Over Time (With vs Without Policy)

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

Small Business Owner (Miami, FL)

Age: 55 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • The idea of eliminating waste sounds good, but I fear contracts will dry up if my clients' budgets shrink drastically.
  • There's potential for less bureaucracy, which is positive, but it must be balanced carefully.

Wellbeing Over Time (With vs Without Policy)

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

Teacher (Chicago, IL)

Age: 43 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 12/20

Statement of Opinion:

  • Educational programs are always tight on budget; any cuts could severely impact quality and reach.
  • I'm cautiously optimistic that they might identify real waste, freeing resources for impactful programs.

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 7 6
Year 20 7 6

Public Health Worker (Phoenix, AZ)

Age: 50 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • Efficiency is great, but we cannot afford to lose any part of our funding; lives depend on it.
  • This policy could put a lot of strain on already stretched resources if not handled correctly.

Wellbeing Over Time (With vs Without Policy)

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

Non-Profit Worker (San Francisco, CA)

Age: 25 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 6/20

Statement of Opinion:

  • There's some uncertainty whether our funding will continue if programs are cut or changed.
  • We rely on these grants to help the homeless population. Hope they carefully consider what's truly necessary.

Wellbeing Over Time (With vs Without Policy)

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

Public Sector Union Representative (Houston, TX)

Age: 38 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • We welcome efficiency but fear it would come at the cost of many federal jobs.
  • Ensuring no one is unfairly dismissed should be a top priority.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $50000000 (Low: $30000000, High: $70000000)

Year 2: $50000000 (Low: $30000000, High: $70000000)

Year 3: $50000000 (Low: $30000000, High: $70000000)

Year 5: $50000000 (Low: $30000000, High: $70000000)

Year 10: $50000000 (Low: $30000000, High: $70000000)

Year 100: $50000000 (Low: $30000000, High: $70000000)

Key Considerations