Policy Impact Analysis - 117/HR/9171

Bill Overview

Title: To reimburse the State of Texas for Operation Lone Star, and for other purposes.

Description: This bill requires the Department of Homeland Security to reimburse the state of Texas for the costs incurred in FY2021 and FY2022 for Operation Lone Star. (Operation Lone Star is a border security operation initiated and carried out by the state of Texas.)

Sponsors: Rep. Pfluger, August [R-TX-11]

Target Audience

Population: People living in Texas

Estimated Size: 28300000

Reasoning

Simulated Interviews

Border Patrol Agent (El Paso, Texas)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 3/20

Statement of Opinion:

  • I see firsthand the impacts of Operation Lone Star, and reimbursement should help solidify our resources.
  • Financial stability from federal reimbursements could improve more efficient operations and morale.

Wellbeing Over Time (With vs Without Policy)

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

State Government Employee (Austin, Texas)

Age: 34 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • I believe our state budget will benefit from reimbursement, potentially allowing us to reallocate funds to other critical areas.
  • This can relieve some fiscal pressure off Texas.

Wellbeing Over Time (With vs Without Policy)

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

Teacher (San Antonio, Texas)

Age: 28 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 3.0 years

Commonness: 10/20

Statement of Opinion:

  • It’s hard to say how the reimbursement will trickle down to education, but if it eases state budget constraints, we might see positive outcomes.
  • Any relief in state budget might mean less pressure on education funding.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Houston, Texas)

Age: 60 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • I doubt I'll notice much difference in my daily life or services from this reimbursement.
  • My main concerns are healthcare and state tax – hopefully, there are indirect benefits.

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 6 6
Year 10 6 6
Year 20 5 5

Local Business Owner (McAllen, Texas)

Age: 52 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • Security measures can impact local business traffic, but with reimbursements, I hope to see more stable economic times.
  • Ultimately, it may stabilize consumer behavior and spending.

Wellbeing Over Time (With vs Without Policy)

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

Asylum Lawyer (Dallas, Texas)

Age: 26 | Gender: female

Wellbeing Before Policy: 4

Duration of Impact: 1.0 years

Commonness: 5/20

Statement of Opinion:

  • Reimbursements perpetuate these operations, which can challenge our humanitarian efforts.
  • I am concerned about the well-being and rights of my clients.

Wellbeing Over Time (With vs Without Policy)

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

Undocumented Migrant (Brownsville, Texas)

Age: 40 | Gender: male

Wellbeing Before Policy: 3

Duration of Impact: 10.0 years

Commonness: 1/20

Statement of Opinion:

  • Increased funding seems to strengthen enforcement, making it more difficult for people like me.
  • Any reimbursement means more focus on border security, which doesn’t make life any easier.

Wellbeing Over Time (With vs Without Policy)

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

State Tax Analyst (Corpus Christi, Texas)

Age: 49 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 8.0 years

Commonness: 8/20

Statement of Opinion:

  • Reimbursements will positively shift state budget allocations, potentially easing future tax burdens.
  • Better balance in appropriations might come with reduced fiscal stress in long term.

Wellbeing Over Time (With vs Without Policy)

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

College Student (Laredo, Texas)

Age: 23 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 9/20

Statement of Opinion:

  • If state funds become more focused on education and infrastructure, I could benefit.
  • Financial aid and school resources might improve if the state budget expands.

Wellbeing Over Time (With vs Without Policy)

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

Retired Farmer (Waco, Texas)

Age: 75 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 0.0 years

Commonness: 12/20

Statement of Opinion:

  • I don't expect it’ll change much for folks like me, far from the border.
  • Hope it doesn't mean higher taxes down the line.

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 6 6

Cost Estimates

Year 1: $1750000000 (Low: $1500000000, High: $2000000000)

Year 2: $1750000000 (Low: $1500000000, High: $2000000000)

Year 3: $0 (Low: $0, High: $0)

Year 5: $0 (Low: $0, High: $0)

Year 10: $0 (Low: $0, High: $0)

Year 100: $0 (Low: $0, High: $0)

Key Considerations