Policy Impact Analysis - 117/HR/8784

Bill Overview

Title: Commission on the American Workforce Act

Description: This bill establishes the American Workforce Commission to examine changes to the workforce during the preceding 10 years.

Sponsors: Rep. Joyce, David P. [R-OH-14]

Target Audience

Population: People participating in the global workforce

Estimated Size: 167000000

Reasoning

Simulated Interviews

Software Engineer (San Francisco, CA)

Age: 32 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I don't expect immediate changes to my lifestyle or salary due to this commission.
  • It's good to have more data on how the workforce is shifting, especially with remote work trends.

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 9 9
Year 20 9 9

Factory Worker (Detroit, MI)

Age: 45 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • I'm worried about automation and my job security.
  • Maybe the findings from this commission could influence policies that protect jobs like mine.

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 7 4
Year 20 8 3

Freelancer (Austin, TX)

Age: 29 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • I hope the commission's study will highlight the struggles of gig workers.
  • The gig economy can be unpredictable and lacks benefits.

Wellbeing Over Time (With vs Without Policy)

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

Small Business Owner (Rural Iowa)

Age: 52 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • I hope this study sheds light on rural workforce issues and encourages support.
  • Our community struggles to find young workers who want to stay.

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

Retired (New York, NY)

Age: 62 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 1.0 years

Commonness: 3/20

Statement of Opinion:

  • I think understanding workforce changes is important for shaping future policies.
  • This commission's work might not affect me directly but could benefit my children and grandchildren.

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 7 7
Year 10 7 7
Year 20 7 7

College Educated Unemployed (Miami, FL)

Age: 24 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • I hope this commission pays attention to how hard it is for new grads.
  • The job market is tough, especially with student debt weighing me down.

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 4
Year 10 6 4
Year 20 7 5

Data Scientist (Seattle, WA)

Age: 38 | Gender: female

Wellbeing Before Policy: 9

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • I'm interested to see how this commission's study influences tech and data-related fields.
  • It's a fast-changing landscape, and having comprehensive data will be useful.

Wellbeing Over Time (With vs Without Policy)

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

Public School Teacher (Chicago, IL)

Age: 60 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • I'm curious if the commission will look at educational sectors too, since they supply the future workforce.
  • Changes in policy due to this study could benefit education systems.

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 7 6
Year 20 7 6

Healthcare Worker (Boston, MA)

Age: 27 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • I hope this commission highlights healthcare staffing shortages.
  • Policies informed by comprehensive data might improve conditions in healthcare.

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 7 5
Year 10 8 5
Year 20 8 6

Barista (Portland, OR)

Age: 21 | Gender: other

Wellbeing Before Policy: 3

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • I feel disconnected from big economic discussions, but maybe this commission's findings could help bring attention to low-wage workers.
  • Living costs are high, and jobs like mine don't pay enough.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $30000000 (Low: $25000000, High: $35000000)

Year 2: $30000000 (Low: $25000000, High: $35000000)

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

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

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

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

Key Considerations