Policy Impact Analysis - 117/S/4429

Bill Overview

Title: Fair Warning Act of 2022

Description: This bill bars an employer from ordering a site closing or mass layoff until 90 calendar days after the employer has served written notice of such an order to (1) each representative of the affected employees as of the time of the notice or each affected employee, (2) the Department of Labor and the governor of the state where the site closing or mass layoff is to occur, and (3) the state or entity designated by the state to carry out rapid response activities.

Sponsors: Sen. Brown, Sherrod [D-OH]

Target Audience

Population: People employed in industries prone to sudden site closures or mass layoffs

Estimated Size: 25000000

Reasoning

Simulated Interviews

Assembly Line Worker (Detroit, Michigan)

Age: 45 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • I worry about potential layoffs as they have happened before without much notice.
  • Having more time to prepare financially and seek new opportunities would be a huge relief.

Wellbeing Over Time (With vs Without Policy)

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

Oil Field Worker (Houston, Texas)

Age: 52 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 10/20

Statement of Opinion:

  • There's always tension about job stability.
  • Having advanced notice could help me plan better for retirement.

Wellbeing Over Time (With vs Without Policy)

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

Software Engineer (San Francisco, California)

Age: 30 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • In tech, things can change rapidly, but we're usually given notice.
  • This policy seems more crucial for people in less stable jobs.

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

Retail Manager (Miami, Florida)

Age: 28 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • It would be nice to have more time to prepare if something like this happens again.
  • My current employer is large but not very communicative about these things.

Wellbeing Over Time (With vs Without Policy)

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

Financial Analyst (New York, New York)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 13/20

Statement of Opinion:

  • I can't imagine this affecting me personally right now, but it's good for those who might be vulnerable.
  • Policies like these are vital for workforce stability.

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

Steel Worker (Pittsburgh, Pennsylvania)

Age: 55 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • I have lived through a few plant closures, and they’re never announced with enough time.
  • Knowing 90 days in advance would be a better situation for everyone involved.

Wellbeing Over Time (With vs Without Policy)

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

Factory Supervisor (Des Moines, Iowa)

Age: 36 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 9/20

Statement of Opinion:

  • Sometimes factories face abrupt shutdowns or relocations for efficiency.
  • It’s good to have policies mandating notice periods.

Wellbeing Over Time (With vs Without Policy)

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

Part-Time Retail Worker (Los Angeles, California)

Age: 26 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 1.0 years

Commonness: 12/20

Statement of Opinion:

  • I am used to uncertainty in my work life.
  • If a part-time gig closes, I wouldn’t expect any notice, but knowing would help find a new job sooner.

Wellbeing Over Time (With vs Without Policy)

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

Manufacturing Engineer (Charlotte, North Carolina)

Age: 48 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 11/20

Statement of Opinion:

  • I've been through sudden layoffs before, they aren't easy.
  • Pre-warning sounds ideal but not sure companies will comply easily.

Wellbeing Over Time (With vs Without Policy)

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

Hospitality Worker (New Orleans, Louisiana)

Age: 32 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 6/20

Statement of Opinion:

  • Not sure how this would play out for a seasonal place like ours.
  • I think it’s beneficial when the business is slow, and layoffs might happen.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

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

Year 2: $52000000 (Low: $31000000, High: $73000000)

Year 3: $54080000 (Low: $32000000, High: $76000000)

Year 5: $58262400 (Low: $34000000, High: $83000000)

Year 10: $68118208 (Low: $38000000, High: $97000000)

Year 100: $188742946 (Low: $106000000, High: $269000000)

Key Considerations