Policy Impact Analysis - 117/HR/6739

Bill Overview

Title: To require the Bureau of Consumer Financial Protection to issue a before deleting or modifying certain small business loan data, and for other purposes.

Description: This bill requires the Consumer Financial Protection Bureau to issue a rule prior to deleting or modifying publicly available small business loan data due to privacy concerns. Specifically, the bureau must describe the intended modifications and deletions and explain how such modifications and deletions will advance a privacy interest.

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

Target Audience

Population: Small business owners and related stakeholders

Estimated Size: 25000000

Reasoning

Simulated Interviews

Small Business Owner (Chicago, IL)

Age: 35 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • I appreciate the importance of privacy, but I'm also concerned about less transparency in loan data which might affect my ability to compare loan options.
  • It's essential that any data modification doesn't hide important trends that could impact my business.

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 6
Year 20 5 6

Privacy Advocate (Seattle, WA)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • This policy is a step in the right direction for ensuring business data privacy.
  • I'm hopeful that these changes will lead to less unnecessary data exposure, and I'm supportive of the bureau's role in this.

Wellbeing Over Time (With vs Without Policy)

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

Bank Executive (New York, NY)

Age: 52 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • Ensuring privacy is crucial, but we need transparent access to modify plans for lending risks.
  • If data deletion compromises our analysis ability, it could hinder decision-making capabilities.

Wellbeing Over Time (With vs Without Policy)

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

Tech Startup Founder (Austin, TX)

Age: 29 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 3.0 years

Commonness: 4/20

Statement of Opinion:

  • I'm worried how restricted access to loan data might affect our product’s data insights feature.
  • Privacy is important, but so is complete and reliable data access for developers.

Wellbeing Over Time (With vs Without Policy)

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

Financial Analyst (Los Angeles, CA)

Age: 60 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 6.0 years

Commonness: 7/20

Statement of Opinion:

  • If crucial data is hidden, it could make market trend analysis less accurate.
  • While privacy needs to be a top priority, transparency is equally important for economic assessments.

Wellbeing Over Time (With vs Without Policy)

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

Economic Researcher (Denver, CO)

Age: 39 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • Changes in data availability could reduce our confidence in economic impact outputs.
  • Protection of privacy is necessary, but accessibility must not be compromised.

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 6 7
Year 10 7 7
Year 20 7 7

Small Business Lender (Boston, MA)

Age: 30 | Gender: other

Wellbeing Before Policy: 8

Duration of Impact: 4.0 years

Commonness: 6/20

Statement of Opinion:

  • Data clarity is necessary to ensure we provide the best rates.
  • While protecting privacy, we need clear guidelines to operate fairly.

Wellbeing Over Time (With vs Without Policy)

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

Regulatory Affairs Specialist (Houston, TX)

Age: 50 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 5/20

Statement of Opinion:

  • Incorporating privacy measures is part of our compliance efforts.
  • Clear rules on data changes will help us maintain regulatory compliance without excessive risk.

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 8
Year 10 8 8
Year 20 8 8

Retired Teacher (Miami, FL)

Age: 63 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • I'm new to business loans and need to learn the ropes. Data unclarity might make it more difficult.
  • I support privacy efforts, but finding the right loan is hard enough as it is.

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 5 6
Year 10 5 6
Year 20 5 6

Community Organizer (Nashville, TN)

Age: 41 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • Transparency is key to understanding community economic dynamics.
  • The policy looks good for privacy, but we must ensure impact doesn't reduce transparency essential for local development.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $10000000 (Low: $8000000, High: $12000000)

Year 2: $8000000 (Low: $6000000, High: $10000000)

Year 3: $8000000 (Low: $6000000, High: $10000000)

Year 5: $5000000 (Low: $4000000, High: $6000000)

Year 10: $1000000 (Low: $800000, High: $2000000)

Year 100: $100000 (Low: $50000, High: $200000)

Key Considerations