Policy Impact Analysis - 117/HR/7334

Bill Overview

Title: COVID-19 EIDL Fraud Statute of Limitations Act of 2022

Description: This bill establishes a 10-year statute of limitations for criminal charges and civil enforcement against a borrower who engages in fraud with respect to certain COVID-19 economic injury disaster loan programs.

Sponsors: Rep. Luetkemeyer, Blaine [R-MO-3]

Target Audience

Population: People who engaged in COVID-19 EIDL fraud

Estimated Size: 200000

Reasoning

Simulated Interviews

Small Business Owner (New York City, NY)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • I didn't think I was doing anything wrong at the time.
  • This policy makes me anxious about potential charges.
  • I want to set things right but fear repercussions.

Wellbeing Over Time (With vs Without Policy)

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

Tech Start-up Founder (San Francisco, CA)

Age: 30 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 5/20

Statement of Opinion:

  • I have nothing to worry about, as I followed all the guidelines.
  • I support holding fraudulent users accountable.

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 9 9
Year 10 9 9
Year 20 9 9

Accountant (Chicago, IL)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 4/20

Statement of Opinion:

  • This legislation is important for accountability.
  • Clients who may have strayed from regulations should be aware of this law.

Wellbeing Over Time (With vs Without Policy)

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

Retail Business Owner (Miami, FL)

Age: 42 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 2.0 years

Commonness: 6/20

Statement of Opinion:

  • I didn’t commit fraud but worry about audits.
  • The policy might create unease but is necessary to handle the dishonest actors.

Wellbeing Over Time (With vs Without Policy)

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

Freelance Consultant (Austin, TX)

Age: 35 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • This will lead to many cases being opened against small defrauders.
  • It's important, but prolonged stress will be felt especially by those wrongly accused.

Wellbeing Over Time (With vs Without Policy)

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

Non-Profit Manager (Seattle, WA)

Age: 28 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 1.0 years

Commonness: 10/20

Statement of Opinion:

  • This is good to ensure those who exploited the system are held accountable.
  • Our organization could see more funding for fraud prevention.

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 9
Year 10 9 9
Year 20 9 9

Legal Advisor (Boston, MA)

Age: 53 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • It's going to be busy processing these cases.
  • Legal clarity and awareness are needed for businesses.
  • The 10-year period is both necessary and daunting.

Wellbeing Over Time (With vs Without Policy)

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

Bank Loan Officer (Portland, OR)

Age: 37 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 8/20

Statement of Opinion:

  • This is a good move to rectify any loose ends of the program.
  • We need to ensure our review processes were above board.

Wellbeing Over Time (With vs Without Policy)

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

Retired Business Owner (Phoenix, AZ)

Age: 60 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 9/20

Statement of Opinion:

  • I'm glad to see those who cheated the system will face consequences.
  • I don’t expect this policy to change my wellbeing, as my business was legitimate.

Wellbeing Over Time (With vs Without Policy)

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

Government Auditor (Denver, CO)

Age: 55 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 7/20

Statement of Opinion:

  • The workload will likely increase.
  • It’s essential to allocate resources effectively to manage these cases.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $100000000 (Low: $75000000, High: $125000000)

Year 2: $100000000 (Low: $75000000, High: $125000000)

Year 3: $100000000 (Low: $75000000, High: $125000000)

Year 5: $100000000 (Low: $75000000, High: $125000000)

Year 10: $100000000 (Low: $75000000, High: $125000000)

Year 100: $100000000 (Low: $75000000, High: $125000000)

Key Considerations