Policy Impact Analysis - 117/S/4867

Bill Overview

Title: Loan Forgiveness for Educators Act of 2022

Description: This bill expands the Teacher Loan Forgiveness program. Among other provisions, the bill (1) renames the program the Educator Loan Forgiveness program, (2) expands program eligibility to early childhood educators and program directors serving in early childhood education programs and school leaders serving in public high-need schools, and (3) establishes a program in which the Department of Education cancels monthly student loan payments during qualifying service and provides complete loan forgiveness after five years of service.

Sponsors: Sen. Lujan, Ben Ray [D-NM]

Target Audience

Population: People working in early childhood and high-need public schools eligible for loan forgiveness

Estimated Size: 5500000

Reasoning

Simulated Interviews

Elementary School Teacher (Austin, TX)

Age: 28 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • This policy would significantly ease my monthly financial burden.
  • It's motivating to know that staying in my current role will lead to loan forgiveness.
  • I believe this will help retain more teachers in high-need areas.

Wellbeing Over Time (With vs Without Policy)

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

School Administrator (Chicago, IL)

Age: 35 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • This policy might change my financial situation drastically, allowing for more personal investments.
  • I welcome that administrators are included since we face high loan debts too.
  • This type of support is essential for continuing in our roles effectively.

Wellbeing Over Time (With vs Without Policy)

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

Early Childhood Educator (Cincinnati, OH)

Age: 25 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • This policy would provide huge relief early in my career path.
  • Loan forgiveness will allow me to focus on career development without worry.
  • I'm hopeful this encourages more to join early childhood education.

Wellbeing Over Time (With vs Without Policy)

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

Public High School Teacher (Los Angeles, CA)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 5/20

Statement of Opinion:

  • This policy won't impact me directly as my loans are fully paid.
  • It would be great for new teachers joining the field though.
  • Such financial support might help improve the education system overall.

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 6 6
Year 20 6 6

Early Childhood Program Director (Brooklyn, NY)

Age: 30 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • Being included in this policy recognition validates our work in early education.
  • Different people will benefit in various ways, which is positive.
  • I'm particularly excited for what this means for retaining quality educators.

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 7 5
Year 20 6 5

Middle School Teacher (Buffalo, NY)

Age: 50 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 7/20

Statement of Opinion:

  • This should have happened much earlier for educators, but better late than never.
  • This addition would help me redirect finances toward savings.
  • Policies prioritizing educators are always welcome.

Wellbeing Over Time (With vs Without Policy)

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

High School English Teacher (Houston, TX)

Age: 38 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 10/20

Statement of Opinion:

  • As I've paid off my debts, this policy won't impact me.
  • Happy for my fellow educators who'll benefit.
  • I will continue advocating for further educator policies.

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

Special Education Teacher (Phoenix, AZ)

Age: 32 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 11/20

Statement of Opinion:

  • This forgives the financial burden of pursuing necessary certifications.
  • Good move to include special education under the high-need category.
  • Could improve retention in my field.

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 6

Principal at High-need School (Miami, FL)

Age: 40 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 7/20

Statement of Opinion:

  • I've already benefited from loan forgiveness programs.
  • This will aid in recruiting new educators.
  • It's a positive step for educator retention.

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

Middle School Science Teacher (Seattle, WA)

Age: 29 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 14/20

Statement of Opinion:

  • This policy greatly increases my ability to focus on innovative teaching.
  • Planning for the future can finally take precedence over loan payments.
  • Overall morale and job satisfaction would improve.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $2000000000 (Low: $1500000000, High: $2500000000)

Year 2: $2100000000 (Low: $1550000000, High: $2600000000)

Year 3: $2200000000 (Low: $1600000000, High: $2700000000)

Year 5: $2400000000 (Low: $1800000000, High: $2900000000)

Year 10: $2800000000 (Low: $2100000000, High: $3400000000)

Year 100: $3500000000 (Low: $2700000000, High: $4300000000)

Key Considerations