Policy Impact Analysis - 117/HR/8443

Bill Overview

Title: Making the CFPB Accountable to Small Businesses Act of 2022

Description: This bill eliminates the requirement that financial institutions must collect data regarding loans made to women-owned, minority-owned, or small businesses. In addition, the Consumer Financial Protection Bureau must justify its decision to not adopt certain alternatives to regulations applicable to small entities.

Sponsors: Rep. Fitzgerald, Scott [R-WI-5]

Target Audience

Population: People involved in or owning small businesses worldwide

Estimated Size: 60000000

Reasoning

Simulated Interviews

small business owner (Atlanta, GA)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • I worry this policy will make it harder to track and prove when discrimination occurs.
  • Without data, it might be easier for financial institutions to overlook women-owned businesses.

Wellbeing Over Time (With vs Without Policy)

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

small business owner (Phoenix, AZ)

Age: 32 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 4/20

Statement of Opinion:

  • The policy seems to ease off the requirements for banks, but data are crucial for newcomers like us.
  • I'm concerned about losing visibility to investors that data traditionally provided.

Wellbeing Over Time (With vs Without Policy)

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

financial advisor (New York, NY)

Age: 50 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 3/20

Statement of Opinion:

  • This change could undermine policy analyses needed to argue for fairer access to credit.
  • It feels like a step back for supporting equitable financial services.

Wellbeing Over Time (With vs Without Policy)

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

small business owner (Austin, TX)

Age: 28 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • We rely on these data to support applications for support programs.
  • Removing this could impact our ability to grow or access resources.

Wellbeing Over Time (With vs Without Policy)

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

banking executive (Des Moines, IA)

Age: 60 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • The policy eases some regulatory burdens for us, which might make financing easier at first.
  • Long term, the lack of data might hurt making sound, fair lending decisions.

Wellbeing Over Time (With vs Without Policy)

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

community leader (Chicago, IL)

Age: 52 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 2/20

Statement of Opinion:

  • This policy dismantles foundations critical for fighting inequality in business.
  • Community efforts will undoubtedly suffer due to lack of data transparency.

Wellbeing Over Time (With vs Without Policy)

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

restaurant owner (Seattle, WA)

Age: 41 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • I might personally not feel the change, but newer owners will.
  • The long-term impact could mean losing ground gained in recent years.

Wellbeing Over Time (With vs Without Policy)

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

professional service provider (Miami, FL)

Age: 38 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • Small businesses lean on the CFPB data for insights that guide their growth.
  • The policy may inadvertently reduce informed business strategies.

Wellbeing Over Time (With vs Without Policy)

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

start-up founder (Boston, MA)

Age: 29 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • I support less regulation but fear long-term ramifications of the policy are underthought.
  • Data are important for innovation and evaluating trends.

Wellbeing Over Time (With vs Without Policy)

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

retired business consultant (Los Angeles, CA)

Age: 65 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 15.0 years

Commonness: 2/20

Statement of Opinion:

  • The lack of data encourages unchecked bias in financial systems.
  • Policymaking requires solid information, and this undermines future efforts.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $15000000 (Low: $10000000, High: $20000000)

Year 2: $15000000 (Low: $10000000, High: $20000000)

Year 3: $15000000 (Low: $10000000, High: $20000000)

Year 5: $15000000 (Low: $10000000, High: $20000000)

Year 10: $15000000 (Low: $10000000, High: $20000000)

Year 100: $15000000 (Low: $10000000, High: $20000000)

Key Considerations