Policy Impact Analysis - 117/HR/9630

Bill Overview

Title: High-skilled Immigration Reform for Employment Act

Description: This bill increases the annual cap on H-1B visas (nonimmigrant visas for workers in specialty occupations) and authorizes grants for education. Specifically, the bill (1) increases the cap on such visas for each fiscal year to from 65.000 to 130,000, and (2) exempts from this cap all visas for individuals with a postgraduate degree from a U.S. institution of higher education (currently, only up to 20,000 such visas are exempted each fiscal year). The bill also modifies the criteria for determining whether an employer is an H-1B-dependent employer. (Such employers are subject to additional requirements.) The Department of Education may make grants to states to support science, technology, engineering, and mathematics (commonly referred to as STEM) education.

Sponsors: Rep. Krishnamoorthi, Raja [D-IL-8]

Target Audience

Population: People interested in or affected by U.S. high-skilled immigration and employment

Estimated Size: 400000

Reasoning

Simulated Interviews

Software Engineer (San Francisco, CA)

Age: 34 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 20.0 years

Commonness: 5/20

Statement of Opinion:

  • I am hopeful about the increased H-1B cap as it means more of my friends can join me in the U.S.
  • The grant for STEM education might improve how technical subjects are taught, which is beneficial overall.

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 9 7
Year 10 8 7
Year 20 8 6

Graduate Student (New York, NY)

Age: 29 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • Exemption from the H-1B cap is great because it eases my job search after graduation.
  • This policy could make the U.S. more appealing for someone with my academic background.

Wellbeing Over Time (With vs Without Policy)

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

HR Manager (Houston, TX)

Age: 45 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 6/20

Statement of Opinion:

  • I'm slightly concerned about how changes in dependency criteria affect our hiring procedures.
  • It's positive that more skilled workers will be available to fill difficult roles.

Wellbeing Over Time (With vs Without Policy)

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

Education Policy Analyst (Washington, D.C.)

Age: 50 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 3/20

Statement of Opinion:

  • The grants for STEM can significantly impact educational quality and innovation in the U.S.
  • It's about time we made similar reforms to help homegrown talent thrive.

Wellbeing Over Time (With vs Without Policy)

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

Start-up Founder (Seattle, WA)

Age: 38 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 3/20

Statement of Opinion:

  • Increasing the H-1B cap might help me find the talent needed for my growing enterprise.
  • I worry about large companies snapping up all the available workers.

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 8 5
Year 10 8 4
Year 20 8 4

PhD Student (Boston, MA)

Age: 26 | Gender: female

Wellbeing Before Policy: 9

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • Grants for STEM are excellent but don’t directly influence my immediate situation.
  • I hope to see more opportunities to collaborate with international experts.

Wellbeing Over Time (With vs Without Policy)

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

Software Company CEO (Dallas, TX)

Age: 40 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • Changes to H-1B could increase compliance costs, but we need the talent.
  • More visas will likely ease some of our labor shortages.

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 6
Year 10 9 6
Year 20 8 6

High School Principal (Tucson, AZ)

Age: 60 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 15.0 years

Commonness: 5/20

Statement of Opinion:

  • I am optimistic about the impact of STEM grants on educational quality over time.
  • This won't change our immediate resource needs but positions us better in the future.

Wellbeing Over Time (With vs Without Policy)

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

Unemployed Developer (Raleigh, NC)

Age: 32 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 4/20

Statement of Opinion:

  • The increase in foreign workers is worrisome as it might reduce my job prospects.
  • The focus should be more on developing local talent.

Wellbeing Over Time (With vs Without Policy)

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

Engineering Professor (Detroit, MI)

Age: 47 | Gender: female

Wellbeing Before Policy: 9

Duration of Impact: 5.0 years

Commonness: 4/20

Statement of Opinion:

  • More visas for high-skilled individuals can foster international collaboration.
  • The policy aligns with our need to sustain and grow engineering talent in the U.S.

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 8
Year 10 9 8
Year 20 9 8

Cost Estimates

Year 1: $500000000 (Low: $450000000, High: $550000000)

Year 2: $500000000 (Low: $450000000, High: $550000000)

Year 3: $550000000 (Low: $500000000, High: $600000000)

Year 5: $550000000 (Low: $500000000, High: $600000000)

Year 10: $600000000 (Low: $550000000, High: $650000000)

Year 100: $700000000 (Low: $650000000, High: $750000000)

Key Considerations