Policy Impact Analysis - 117/HR/7717

Bill Overview

Title: American Apprenticeship Act

Description: This bill authorizes the Department of Labor to make grants to assist states in carrying out projects that defray the cost of instruction associated with pre-apprenticeship and qualified apprenticeship programs. Labor shall (1) establish performance measures and an evaluation system for such grant program; and (2) identify in-demand occupations that lack the use of apprenticeships, analyze the use of the qualified apprenticeship program model in those occupations, and report on such analysis to states and Congress.

Sponsors: Rep. DeLauro, Rosa L. [D-CT-3]

Target Audience

Population: People involved in or planning to join apprenticeship or pre-apprenticeship programs

Estimated Size: 5000000

Reasoning

Simulated Interviews

High School Graduate (California)

Age: 19 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • I think the apprenticeship programs could be a great way to get into a career without the high costs of college.
  • If the program offers support in my area, it will help me a lot because we don't have many technical schools nearby.

Wellbeing Over Time (With vs Without Policy)

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

Electrician Apprentice (Texas)

Age: 34 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 8/20

Statement of Opinion:

  • I am barely managing to pay for my apprenticeship tools and classes.
  • Any kind of financial help through this program will take a big load off my shoulders.

Wellbeing Over Time (With vs Without Policy)

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

Nurse (New York)

Age: 45 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 4.0 years

Commonness: 6/20

Statement of Opinion:

  • I am interested in moving into a tech field, but the costs of training programs are intimidating.
  • This policy might make it feasible for me to take up an apprenticeship in a tech-related role.

Wellbeing Over Time (With vs Without Policy)

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

Small Business Owner (Iowa)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 6.0 years

Commonness: 5/20

Statement of Opinion:

  • I could really use some help in finding skilled workers.
  • If this policy helps in training apprentices, it would also benefit my business in the long run.

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 9 8
Year 10 8 7
Year 20 7 6

College Dropout (Florida)

Age: 22 | Gender: other

Wellbeing Before Policy: 3

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • The costs of completing my education were too high; an apprenticeship might be a viable alternative.
  • I hope this program can reduce some of the barriers I'm facing.

Wellbeing Over Time (With vs Without Policy)

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

Software Developer (Michigan)

Age: 28 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 3.0 years

Commonness: 7/20

Statement of Opinion:

  • I believe mentoring apprentices could bring new perspectives to our team.
  • The policy will help bring more skilled individuals into our workplace.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Nebraska)

Age: 60 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • The apprentices I mentor could benefit if costs were defrayed, making them more willing to persist.
  • It would be nice to see more varied backgrounds in these programs.

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

HR Manager (Ohio)

Age: 40 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 6.0 years

Commonness: 6/20

Statement of Opinion:

  • Access to well-trained apprentices could enhance our outreach and recruitment.
  • The policy expands options for hiring future employees.

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 9 8
Year 10 8 7
Year 20 7 6

Aspiring Chef (North Carolina)

Age: 26 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 4.0 years

Commonness: 9/20

Statement of Opinion:

  • Culinary schools are too expensive for me right now.
  • If this policy applies to culinary apprenticeships, it could make a difference.

Wellbeing Over Time (With vs Without Policy)

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

Construction Worker (Nevada)

Age: 29 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • It’s tough to pay for specialized training with my current salary.
  • This initiative might help me specialize and earn more.

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 7
Year 10 8 7
Year 20 7 6

Cost Estimates

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

Year 2: $14000000 (Low: $9000000, High: $19000000)

Year 3: $13000000 (Low: $8000000, High: $18000000)

Year 5: $12000000 (Low: $7000000, High: $17000000)

Year 10: $10000000 (Low: $5000000, High: $15000000)

Year 100: $5000000 (Low: $2000000, High: $10000000)

Key Considerations