Policy Impact Analysis - 117/HR/6835

Bill Overview

Title: No Most Favored Nation Trading with Russia Act

Description: This bill withdraws normal trade relations treatment from Russia. Additionally, the bill requires the President to encourage U.S. allies and partners to (1) consider taking similar actions; and (2) condemn, at the World Trade Organization (WTO), Russia's aggression in Ukraine. Further, the President must direct the U.S. Permanent Representative to the WTO to seek suspension of Russia's membership in the WTO.

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

Target Audience

Population: People/individuals engaged in or affected by trade with Russia

Estimated Size: 200000000

Reasoning

Simulated Interviews

Import business owner (New York, NY)

Age: 54 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 6/20

Statement of Opinion:

  • The loss of MFN status will increase costs for my business as tariffs on Russian steel go up.
  • I'll either have to pass these costs onto consumers or find new suppliers which could disrupt supply chains.

Wellbeing Over Time (With vs Without Policy)

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

Software Engineer (San Francisco, CA)

Age: 45 | Gender: female

Wellbeing Before Policy: 8

Duration of Impact: 0.0 years

Commonness: 15/20

Statement of Opinion:

  • I don't think this policy affects me directly, but I'm concerned about broader geopolitical tensions.

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 7 7

Energy Analyst (Houston, TX)

Age: 32 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 10/20

Statement of Opinion:

  • This change may have ripple effects on global energy prices, creating job opportunities for me to analyze these shifts.

Wellbeing Over Time (With vs Without Policy)

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

Industrial Manufacturer (Detroit, MI)

Age: 60 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 8/20

Statement of Opinion:

  • This could benefit my business by making my American-made machinery parts more competitive.
  • I'm optimistic about increased market demand.

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 7 4

Economics Professor (Chicago, IL)

Age: 29 | Gender: male

Wellbeing Before Policy: 8

Duration of Impact: 5.0 years

Commonness: 7/20

Statement of Opinion:

  • It's interesting to see how trade relations evolve.
  • This policy could serve as an example in my classes.

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 9 8
Year 20 8 8

Fashion Retailer (Miami, FL)

Age: 37 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 15.0 years

Commonness: 5/20

Statement of Opinion:

  • I'm worried about higher costs and limited access to unique Russian fabrics.
  • I'll have to seek alternatives which might change my brand.

Wellbeing Over Time (With vs Without Policy)

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

Graduate Student (Seattle, WA)

Age: 23 | Gender: other

Wellbeing Before Policy: 9

Duration of Impact: 0.0 years

Commonness: 12/20

Statement of Opinion:

  • This is a fascinating case study for my research on trade policies and international responses.

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 8 8

Luxury Goods Retailer (Los Angeles, CA)

Age: 49 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 7.0 years

Commonness: 4/20

Statement of Opinion:

  • This might affect my sales to Russian clients, but I'm exploring ways to mitigate this through new market strategies.

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 7 7

Automotive Part Supplier (Dallas, TX)

Age: 52 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 12.0 years

Commonness: 9/20

Statement of Opinion:

  • Costs may rise due to tariffs, but demand from US manufacturers could also increase as they switch to domestic parts.

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 6
Year 10 8 5
Year 20 7 5

Policy Analyst (Boston, MA)

Age: 58 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 5/20

Statement of Opinion:

  • Policy shifts like this one are crucial for analysis and understanding the broader economic impacts.
  • It's an opportunity to contribute to meaningful policy recommendations.

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 7 7

Cost Estimates

Year 1: $20000000 (Low: $15000000, High: $25000000)

Year 2: $21000000 (Low: $16000000, High: $26000000)

Year 3: $22000000 (Low: $17000000, High: $27000000)

Year 5: $24000000 (Low: $19000000, High: $29000000)

Year 10: $28000000 (Low: $23000000, High: $33000000)

Year 100: $50000000 (Low: $40000000, High: $60000000)

Key Considerations