Policy Impact Analysis - 117/HR/8480

Bill Overview

Title: Turn OFF THE TAP Act

Description: This bill prohibits federal contracts with or provision of federal funds to designated entities. Designated entities include those subject to specified U.S. sanctions, entities that have a relationship with China's military-industrial complex, and entities that produce communications equipment or services that pose unacceptable risks to U.S. national security.

Sponsors: Rep. Tenney, Claudia [R-NY-22]

Target Audience

Population: Individuals working for or related to entities affected by U.S. sanctions or designated under Turn OFF THE TAP Act

Estimated Size: 500000

Reasoning

Simulated Interviews

Software Engineer (California)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 3.0 years

Commonness: 5/20

Statement of Opinion:

  • Concerned about job security due to the potential loss of federal contracts.
  • Apprehensive about possible restructuring or layoffs if the company loses a significant portion of its revenue.

Wellbeing Over Time (With vs Without Policy)

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

Sales Manager (Texas)

Age: 30 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • Worries about market volatility and potential job cuts if their product lines are restricted.
  • Hopeful that diversifying clients can mitigate negative impacts.

Wellbeing Over Time (With vs Without Policy)

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

Senior Analyst (New York)

Age: 52 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • Believes the policy may limit investment opportunities and affect market predictions.
  • Sees potential negative impact on portfolio returns from restricted companies.

Wellbeing Over Time (With vs Without Policy)

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

Marketing Specialist (Florida)

Age: 27 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 2.0 years

Commonness: 3/20

Statement of Opinion:

  • Worried that the policy might discourage investors or clients linked to affected sectors.
  • Optimistic about pivoting focus to unaffected areas.

Wellbeing Over Time (With vs Without Policy)

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

Network Administrator (Ohio)

Age: 38 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 10/20

Statement of Opinion:

  • Fearful of supply chain disruptions impacting company operations.
  • Supportive of the policy for national security reasons but worried about short-term job security.

Wellbeing Over Time (With vs Without Policy)

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

Policy Consultant (District of Columbia)

Age: 60 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 4/20

Statement of Opinion:

  • Anticipates increased demand for advisory services due to policy complexity.
  • Expects some clients to face challenges.

Wellbeing Over Time (With vs Without Policy)

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

Communications Technician (Illinois)

Age: 34 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • Worried about the future of his job owing to potential U.S. sanctions.
  • Seeks opportunities to move to sectors less likely to be directly affected.

Wellbeing Over Time (With vs Without Policy)

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

HR Manager (Washington)

Age: 40 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • Concerns about workforce layoffs if contracts are terminated.
  • Plans for potential staff training to adjust to a changing workplace landscape.

Wellbeing Over Time (With vs Without Policy)

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

Defense Contractor (Virginia)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 6/20

Statement of Opinion:

  • Believes the policy can ensure better security and compliant operations.
  • However, worries about reshuffling contracts and learning curve for adjustments.

Wellbeing Over Time (With vs Without Policy)

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

International Business Consultant (Georgia)

Age: 29 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 5/20

Statement of Opinion:

  • Expects increased consultations from companies about navigating new policies.
  • Thrives on dynamic changes creating an opportunities market.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $20000000 (Low: $15000000, High: $30000000)

Year 2: $20000000 (Low: $15000000, High: $30000000)

Year 3: $20000000 (Low: $15000000, High: $30000000)

Year 5: $20000000 (Low: $15000000, High: $30000000)

Year 10: $20000000 (Low: $15000000, High: $30000000)

Year 100: $20000000 (Low: $15000000, High: $30000000)

Key Considerations