Policy Impact Analysis - 117/HR/8253

Bill Overview

Title: Fostering Innovation and Research to Strengthen Tomorrow Act

Description: This bill doubles the rate of the tax credit for increasing research expenses and the alternative simplified research tax credit. It also increases the credit rate for taxpayers with no research expenses during a specified three-year period and the amount of the credit that certain small businesses may apply against payroll tax liabilities.

Sponsors: Rep. Walorski, Jackie [R-IN-2]

Target Audience

Population: People involved in Research and Development activities globally

Estimated Size: 6000000

Reasoning

Simulated Interviews

Research Scientist (San Francisco, CA)

Age: 45 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 8/20

Statement of Opinion:

  • The additional tax credits will allow my company to invest more in cutting-edge research projects.
  • I'm optimistic about the future of innovation in the U.S. with this policy in place.

Wellbeing Over Time (With vs Without Policy)

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

Startup Entrepreneur (Austin, TX)

Age: 32 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • The enhanced tax credits could be a game changer for our startup, helping us scale our R&D efforts.
  • It encourages new market entrants, which is great for competition and innovation.

Wellbeing Over Time (With vs Without Policy)

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

University Professor (Boston, MA)

Age: 39 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 6/20

Statement of Opinion:

  • The policy seems beneficial, but its impact on my personal research is indirect as it mostly affects funding potential for new projects.
  • It might enhance collaboration between academia and industry.

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 6
Year 10 6 6
Year 20 6 6

Software Developer (New York, NY)

Age: 28 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • The tax credits may drive more research projects at work, but the direct impact on my role is limited.
  • It's a positive step for long-term industry growth.

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 7 6
Year 20 6 6

R&D Manager (Seattle, WA)

Age: 50 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 10.0 years

Commonness: 9/20

Statement of Opinion:

  • Enhancing research tax credits strengthens our position in developing novel medicines.
  • My team will have more resources for exploratory projects.

Wellbeing Over Time (With vs Without Policy)

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

CEO of Manufacturing Company (Dallas, TX)

Age: 55 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 7/20

Statement of Opinion:

  • The policy offers a strategic opportunity for us to expand our R&D department and innovate in automation.
  • I expect an immediate improvement in our ability to compete internationally.

Wellbeing Over Time (With vs Without Policy)

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

PhD Student (Chicago, IL)

Age: 40 | Gender: other

Wellbeing Before Policy: 5

Duration of Impact: 7.0 years

Commonness: 4/20

Statement of Opinion:

  • Increased tax credits provide a favorable entrepreneurial environment post-graduation.
  • I'm considering applying this knowledge towards a startup now.

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 8 5
Year 20 6 5

Retiree (Detroit, MI)

Age: 60 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • While I'm not directly involved, policy changes like these can boost tech stock performance, indirectly affecting my retirement funds.

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

Freelance Researcher (Houston, TX)

Age: 48 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 3/20

Statement of Opinion:

  • I hope the policy broadens funding avenues for independent researchers like myself.
  • It might inspire collaboration with established firms.

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 6 5
Year 20 6 5

Government Policy Analyst (Raleigh, NC)

Age: 35 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 8/20

Statement of Opinion:

  • The policy is a strategic step towards enhancing national competitiveness in global R&D.
  • Professionally, I'm interested in its long-term economic impacts.

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

Cost Estimates

Year 1: $4000000000 (Low: $3500000000, High: $4500000000)

Year 2: $4200000000 (Low: $3700000000, High: $4700000000)

Year 3: $4400000000 (Low: $3900000000, High: $4900000000)

Year 5: $4800000000 (Low: $4300000000, High: $5300000000)

Year 10: $5500000000 (Low: $5000000000, High: $6000000000)

Year 100: $6000000000 (Low: $5500000000, High: $6500000000)

Key Considerations