Policy Impact Analysis - 117/HR/9332

Bill Overview

Title: To conform Federal tax law with the Texas Constitution to allow for the continued benefit to the fullest extent possible from the financial leverage of the Permanent University Fund to the State of Texas.

Description: This bill updates the effective date of the arbitrage rules for the Permanent University Fund of the state of Texas.

Sponsors: Rep. Doggett, Lloyd [D-TX-35]

Target Audience

Population: People in Texas involved with the University of Texas and Texas A&M Systems

Estimated Size: 5000000

Reasoning

Simulated Interviews

Student (Austin, Texas)

Age: 21 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 15/20

Statement of Opinion:

  • If the policy leads to more university funding, I might benefit from enhanced resources or scholarships.
  • I hope there is some relief in tuition rates without negative cutbacks on educational quality.

Wellbeing Over Time (With vs Without Policy)

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

Professor (College Station, Texas)

Age: 45 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • Changes in funding rules could mean more grant opportunities, which are crucial for research.
  • I am cautious about how administrative changes translate to practical benefits.

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 9 6
Year 10 9 6
Year 20 9 6

Alumni Relations Officer (Dallas, Texas)

Age: 35 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • The policy could increase the university's appeal to potential donors by showing financial improvement.
  • I hope this leads to more programs that support alumni career services and networking.

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 7 6

Research Assistant (Houston, Texas)

Age: 29 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 0.0 years

Commonness: 10/20

Statement of Opinion:

  • Changes to the PUF rules won't directly affect my line of work.
  • I am more concerned about funding changes at Rice University.

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

Administrative Staff (Austin, Texas)

Age: 52 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • This policy is significant as it will directly influence our budgetary planning processes.
  • With improved fund leveraging, there might be less pressure on cutting costs.

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

Public School Teacher (El Paso, Texas)

Age: 38 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 18/20

Statement of Opinion:

  • I suppose the policy has some broader educational impacts, but they won't affect my job directly.
  • My main concerns are state funding pertaining directly to K-12 education.

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 6 6

PhD Student (San Antonio, Texas)

Age: 34 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 14/20

Statement of Opinion:

  • Improved research funding through efficient fund leveraging could greatly benefit my work.
  • I am interested in how these rules might improve conditions for all students.

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

Retired (Lubbock, Texas)

Age: 60 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 5.0 years

Commonness: 10/20

Statement of Opinion:

  • I keep a lookout for policies that affect education and funding structures.
  • Though retired, I am interested to see how changes support current faculty.

Wellbeing Over Time (With vs Without Policy)

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

Technician (Austin, Texas)

Age: 25 | Gender: other

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 13/20

Statement of Opinion:

  • Overall improved funding might enhance tech services infrastructure.
  • I am cautiously optimistic about long-term implications.

Wellbeing Over Time (With vs Without Policy)

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

Hospital Administrator (Houston, Texas)

Age: 50 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 0.0 years

Commonness: 17/20

Statement of Opinion:

  • The policy might have larger societal benefits I am not seeing immediately.
  • I remain focused on healthcare funding and policy changes there.

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 6 6

Cost Estimates

Year 1: $2500000 (Low: $2000000, High: $3000000)

Year 2: $1500000 (Low: $1200000, High: $1800000)

Year 3: $1500000 (Low: $1200000, High: $1800000)

Year 5: $1500000 (Low: $1200000, High: $1800000)

Year 10: $1500000 (Low: $1200000, High: $1800000)

Year 100: $1500000 (Low: $1200000, High: $1800000)

Key Considerations