Policy Impact Analysis - 117/S/4471

Bill Overview

Title: Hardest-Hit Small Business COVID Relief Act of 2022

Description: This bill requires the Small Business Administration to provide grants to small businesses that experienced substantial losses due to the COVID-19 pandemic.

Sponsors: Sen. Cardin, Benjamin L. [D-MD]

Target Audience

Population: Individuals working for small businesses affected by the COVID-19 pandemic

Estimated Size: 15000000

Reasoning

Simulated Interviews

Restaurant Owner (New York City, NY)

Age: 45 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • This grant could be a lifeline for my restaurant.
  • I'm hopeful but worried about the competition for funding.

Wellbeing Over Time (With vs Without Policy)

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

Freelance Graphic Designer (Los Angeles, CA)

Age: 37 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 12/20

Statement of Opinion:

  • It could increase my clients’ ability to hire freelancers like me.
  • I hope this boosts the local economy.

Wellbeing Over Time (With vs Without Policy)

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

Owner of a Bookstore (Austin, TX)

Age: 52 | Gender: female

Wellbeing Before Policy: 3

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • A grant would help me keep the bookstore open longer.
  • I'm concerned about accessing these funds efficiently.

Wellbeing Over Time (With vs Without Policy)

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

Bar Manager (Chicago, IL)

Age: 29 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 14/20

Statement of Opinion:

  • If my employer receives a grant, it might mean more hours for me.
  • This policy could provide some job security.

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 5 4
Year 10 5 4
Year 20 4 4

Hotel Owner (Miami, FL)

Age: 61 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • A grant means potentially restoring some services and jobs.
  • It’s good, but we need long-term solutions.

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 6 5
Year 10 5 4
Year 20 4 3

Tech Startup Employee (San Francisco, CA)

Age: 27 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 11/20

Statement of Opinion:

  • Policy isn’t targeted at my industry, but could indirectly benefit us.
  • It's important that small tech companies aren't ignored.

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 5 5

Boutique Owner (Houston, TX)

Age: 40 | Gender: other

Wellbeing Before Policy: 3

Duration of Impact: 4.0 years

Commonness: 7/20

Statement of Opinion:

  • It's do or die – the grant could save my store.
  • This is a vital support during a tough time.

Wellbeing Over Time (With vs Without Policy)

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

Coffee Shop Barista (Seattle, WA)

Age: 34 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 13/20

Statement of Opinion:

  • An indirect benefit could be better job stability at the coffee shop.
  • Ideally, it will result in fewer hours being cut.

Wellbeing Over Time (With vs Without Policy)

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

Gym Owner (Phoenix, AZ)

Age: 50 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 6.0 years

Commonness: 10/20

Statement of Opinion:

  • A grant could help cover costs for reopening safely.
  • It’s hard to compete without financial support.

Wellbeing Over Time (With vs Without Policy)

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

Wedding Planner (Boston, MA)

Age: 42 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • A lifeline grant to revive my business would be invaluable.
  • I worry if this will be enough for a recovery.

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 6 4
Year 10 5 3
Year 20 4 3

Cost Estimates

Year 1: $50000000000 (Low: $40000000000, High: $60000000000)

Year 2: $50000000000 (Low: $40000000000, High: $60000000000)

Year 3: $50000000000 (Low: $40000000000, High: $60000000000)

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

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

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

Key Considerations