Policy Impact Analysis - 117/HR/8159

Bill Overview

Title: Remotely Piloted Aircraft Crews Tax Relief Act

Description: This bill extends the tax exclusion of the combat zone compensation of enlisted personnel and commissioned offices to include individuals operating a remotely piloted aircraft in a combat zone or providing certain intelligence with respect to such aircraft.

Sponsors: Rep. Horsford, Steven [D-NV-4]

Target Audience

Population: Individuals operating remotely piloted aircraft or providing related intelligence

Estimated Size: 15000

Reasoning

Simulated Interviews

Drone Pilot (Texas)

Age: 32 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • The tax relief would be a welcome financial support, given the stresses and demands of operating drones in combat zones.

Wellbeing Over Time (With vs Without Policy)

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

Intelligence Analyst (California)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • Extra financial relief benefits morale and retention, potentially broadening career opportunities.

Wellbeing Over Time (With vs Without Policy)

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

Maintenance Technician (Nevada)

Age: 28 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 0.0 years

Commonness: 12/20

Statement of Opinion:

  • Although the policy is beneficial for my colleagues in direct operations, it doesn't affect me directly.

Wellbeing Over Time (With vs Without Policy)

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

Drone Software Developer (Florida)

Age: 38 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 13/20

Statement of Opinion:

  • This policy is not directly applicable to software roles but indicates a broader awareness of drone-related work contributions.

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

Data Analyst (Virginia)

Age: 30 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 11/20

Statement of Opinion:

  • I would appreciate any financial relief due to the demanding nature of my work, although my role is indirect.

Wellbeing Over Time (With vs Without Policy)

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

Officer in Charge - Drone Squadron (New Mexico)

Age: 40 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 7/20

Statement of Opinion:

  • This tax relief is a tangible acknowledgment of the risks and complexity of drone operations.

Wellbeing Over Time (With vs Without Policy)

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

Drone Operator (Arizona)

Age: 29 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • Any financial improvement helps balance work with personal life, which is complex for part-timers.

Wellbeing Over Time (With vs Without Policy)

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

Drone Control Instructor (Nebraska)

Age: 27 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 2.0 years

Commonness: 10/20

Statement of Opinion:

  • While I'm not flying drones in combat, improved terms for my students underline the importance of our role.

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

Military Drone Pilot Trainee (North Carolina)

Age: 22 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 15.0 years

Commonness: 10/20

Statement of Opinion:

  • This policy makes the future seem more secure financially once I graduate and deploy.

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 8
Year 10 9 8
Year 20 9 8

Policy Analyst (Washington D.C.)

Age: 50 | Gender: male

Wellbeing Before Policy: 9

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • From an analytical perspective, this is a logical financial support for those shouldering technological demands in combat.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $50000000 (Low: $30000000, High: $75000000)

Year 2: $51000000 (Low: $30600000, High: $76500000)

Year 3: $52020000 (Low: $31212000, High: $78030000)

Year 5: $54000800 (Low: $32400480, High: $81001200)

Year 10: $59163041 (Low: $35497824, High: $88744561)

Year 100: $114674017 (Low: $68804410, High: $172011025)

Key Considerations