Policy Impact Analysis - 117/HR/7571

Bill Overview

Title: To direct the Administer of the Small Business Administration to consider certain applications under certain EIDL COVID-19 relief programs, and for other purposes.

Description: This bill requires the Small Business Administration to continue considering applications for certain economic injury disaster loans submitted prior to the application deadline for such loans until (1) all available funding for the loans is expended or (2) all eligible applicants have received assistance.

Sponsors: Rep. Smith, Christopher H. [R-NJ-4]

Target Audience

Population: Small Business Owners Awaiting EIDL Consideration

Estimated Size: 1000000

Reasoning

Simulated Interviews

Owner of a small restaurant (New York, NY)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • I think the policy is crucial because many small businesses, like mine, are still struggling with past losses. I really hope more funds will be made available.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 5
Year 3 8 5
Year 5 9 5
Year 10 8 5
Year 20 7 4

Owner of a small construction business (Houston, TX)

Age: 52 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 15/20

Statement of Opinion:

  • This policy is a ray of hope. Till now, I was skeptical about whether my application will ever get considered, given the backlog.

Wellbeing Over Time (With vs Without Policy)

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

Freelance photographer (San Francisco, CA)

Age: 33 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 2.0 years

Commonness: 7/20

Statement of Opinion:

  • I applied to get some relief, but cynicism about bureaucratic delays made me believe I won't get the help needed.

Wellbeing Over Time (With vs Without Policy)

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

Owner of a local retail store (Miami, FL)

Age: 60 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 10/20

Statement of Opinion:

  • I didn't apply but knowing more businesses will get funded means a stronger local economy, which eventually affects us all positively.

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

Owner of an independent bookstore (Chicago, IL)

Age: 27 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • This could be the difference between shutting down or staying open; guessing which way it will go makes sleep difficult.

Wellbeing Over Time (With vs Without Policy)

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

Owner of a wellness studio (Los Angeles, CA)

Age: 40 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 4.0 years

Commonness: 9/20

Statement of Opinion:

  • Knowing that application will still be considered is a relief. But waiting for the actual funds is the crucial part.

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 6 4
Year 10 6 3
Year 20 5 3

Owner of a logistics company (Phoenix, AZ)

Age: 50 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 11/20

Statement of Opinion:

  • It's good to know that no application gets ignored. A push like this could mean surviving the next economic shock.

Wellbeing Over Time (With vs Without Policy)

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

Non-profit organization manager (Seattle, WA)

Age: 55 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • Seeing this funding extended provides security and a way to address our long-term operational issues.

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 7 5
Year 10 6 4
Year 20 5 3

Owner of a digital marketing agency (Atlanta, GA)

Age: 39 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 8.0 years

Commonness: 13/20

Statement of Opinion:

  • We partially bounced back but not fully. If the application gets approved, it will reduce pressure consistently.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 6
Year 2 8 5
Year 3 8 5
Year 5 9 5
Year 10 8 4
Year 20 7 4

App developer (Austin, TX)

Age: 22 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 3/20

Statement of Opinion:

  • This decision probably favors existing businesses. Being new, I expect other initiatives will arise for people like me.

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

Cost Estimates

Year 1: $3000000000 (Low: $2500000000, High: $3500000000)

Year 2: $2000000000 (Low: $1500000000, High: $2500000000)

Year 3: $1000000000 (Low: $500000000, High: $1500000000)

Year 5: $500000000 (Low: $0, High: $1000000000)

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

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

Key Considerations