Policy Impact Analysis - 117/HR/7390

Bill Overview

Title: Expanding Labor Representation in the Workforce System Act

Description: This bill increases from 20% to 30% the workforce representation on state and local workforce development boards.

Sponsors: Rep. Sherrill, Mikie [D-NJ-11]

Target Audience

Population: Workers and individuals associated with or represented by workforce development boards

Estimated Size: 206000000

Reasoning

Simulated Interviews

Automobile Factory Worker (Detroit, MI)

Age: 45 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • I hope this change could mean better working conditions and more say in what job programs are available locally.

Wellbeing Over Time (With vs Without Policy)

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

Freelance Graphic Designer (Los Angeles, CA)

Age: 34 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 10/20

Statement of Opinion:

  • I don't think this will directly affect me since I'm not a part of any workforce boards or unions.

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

Community College Instructor (Chicago, IL)

Age: 52 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 7/20

Statement of Opinion:

  • Greater labor representation may lead to more educational initiatives that align with workforce needs.

Wellbeing Over Time (With vs Without Policy)

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

Tech Startup Employee (Seattle, WA)

Age: 28 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 12/20

Statement of Opinion:

  • I don't expect this change to impact my work environment much.

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 8 8

Oil Industry Worker (Houston, TX)

Age: 60 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 8.0 years

Commonness: 8/20

Statement of Opinion:

  • We're always trying to ensure safer jobs and better pay, so this might help.

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 8 5
Year 20 7 4

Hospital Nurse (New York, NY)

Age: 39 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • More representation could mean better working hours and conditions for us.

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 6 5

Retail Manager (Phoenix, AZ)

Age: 50 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 0.0 years

Commonness: 14/20

Statement of Opinion:

  • I'm not involved with those kinds of boards, so nothing will change for me.

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 5 5
Year 10 5 5
Year 20 5 5

Construction Worker (Raleigh, NC)

Age: 42 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • Having more say could lead to more job security and negotiation power.

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 8 6
Year 20 7 5

Tech Support Specialist (San Francisco, CA)

Age: 29 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 9/20

Statement of Opinion:

  • It's good for my friends in unions, but it won't reach into my tech job space.

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 6

Public School Teacher (Denver, CO)

Age: 47 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 12.0 years

Commonness: 8/20

Statement of Opinion:

  • More influence on training programs could greatly benefit educational staff too.

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 7 5
Year 10 7 5
Year 20 6 4

Cost Estimates

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

Year 2: $5000000 (Low: $3000000, High: $7000000)

Year 3: $5000000 (Low: $3000000, High: $7000000)

Year 5: $5000000 (Low: $3000000, High: $7000000)

Year 10: $5000000 (Low: $3000000, High: $7000000)

Year 100: $5000000 (Low: $3000000, High: $7000000)

Key Considerations