Policy Impact Analysis - 117/S/5026

Bill Overview

Title: Low-Revenue Recipient Paycheck Protection Program Relief Act of 2022

Description: Low-Revenue Recipient Paycheck Protection Program Relief Act of 202 This bill provides additional forgiveness and flexibilities to certain low-revenue recipients of Paycheck Protection Program loans.

Sponsors: Sen. Gillibrand, Kirsten E. [D-NY]

Target Audience

Population: Low-revenue small business owners and employees

Estimated Size: 25000000

Reasoning

Simulated Interviews

Owner of a small auto repair shop (Detroit, MI)

Age: 52 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 4/20

Statement of Opinion:

  • The previous PPP loans helped us survive during the pandemic, but business hasn't fully recovered.
  • Additional relief could help maintain the current staff and maybe even expand a bit.

Wellbeing Over Time (With vs Without Policy)

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

Freelance graphic designer (Austin, TX)

Age: 47 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 2.0 years

Commonness: 14/20

Statement of Opinion:

  • I didn't qualify for much from previous programs, and I'm wary this one might not help either.
  • If it helps struggling clients of mine, that'd be beneficial to my business in the long run.

Wellbeing Over Time (With vs Without Policy)

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

Chef and small restaurant owner (Montpelier, VT)

Age: 33 | Gender: male

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • We've been treading water since early 2020.
  • Any relief would allow us to avoid more layoffs, which are painful decisions.

Wellbeing Over Time (With vs Without Policy)

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

Boutique owner (Atlanta, GA)

Age: 40 | Gender: female

Wellbeing Before Policy: 3

Duration of Impact: 4.0 years

Commonness: 6/20

Statement of Opinion:

  • Every bit helps, but I'm skeptical whether we’ll qualify this time as the competition is tough.
  • The support could be our lifeline to get back on our feet.

Wellbeing Over Time (With vs Without Policy)

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

Software developer in start-up (Seattle, WA)

Age: 29 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 10/20

Statement of Opinion:

  • It's not entirely clear if or how this affects us directly.
  • If our clients benefit from this, it may indirectly help us too.

Wellbeing Over Time (With vs Without Policy)

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

Event planner (New Orleans, LA)

Age: 50 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • I've applied for everything available—it all helps.
  • Without support, we barely make ends meet. This relief will be crucial if granted.

Wellbeing Over Time (With vs Without Policy)

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

Owner of a small farm (Rural Kentucky)

Age: 60 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 2.0 years

Commonness: 8/20

Statement of Opinion:

  • Rural areas often miss out on these programs.
  • I've applied before but never received any support—skeptical but hopeful.

Wellbeing Over Time (With vs Without Policy)

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

Yoga studio owner (San Francisco, CA)

Age: 36 | Gender: female

Wellbeing Before Policy: 3

Duration of Impact: 4.0 years

Commonness: 5/20

Statement of Opinion:

  • We were hit so hard; if this helps with rent, it would be amazing.
  • I know lots of us in our community are in a similar situation. We need that support.

Wellbeing Over Time (With vs Without Policy)

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

Craft beer brewer (Boise, ID)

Age: 42 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 9/20

Statement of Opinion:

  • Things are looking up, but extra relief could help stabilize cash flow.
  • My employees count on continuity, and that should be our main goal.

Wellbeing Over Time (With vs Without Policy)

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

Vintage clothing store owner (Chicago, IL)

Age: 39 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • The thought of more support reassures me, especially considering slow recovery.
  • We need direct aid to pay staff without worrying each month.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $5000000000 (Low: $4000000000, High: $6000000000)

Year 2: $4500000000 (Low: $3500000000, High: $5500000000)

Year 3: $4000000000 (Low: $3000000000, High: $5000000000)

Year 5: $3500000000 (Low: $2500000000, High: $4500000000)

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

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

Key Considerations