Policy Impact Analysis - 117/S/3847

Bill Overview

Title: Prohibiting Anticompetitive Mergers Act of 2022

Description: This bill prohibits certain business mergers, modifies the procedures for reviewing mergers, and establishes procedures for reversing certain mergers. Specifically, the bill prohibits mergers that (1) are valued at more than $5 billion in total assets, (2) result in the acquiring entity having a market share of greater than 33% (or a share of a labor market as an employer of greater than 25%), or (3) result in market concentration levels that exceed specified thresholds. The bill also expands the authority of the Federal Trade Commission (FTC) and the Antitrust Division of the Department of Justice (DOJ) to review pending mergers, including whether a merger is likely to harm the competitive process and the effect of a merger on relevant labor markets. Finally, the bill authorizes the FTC and the Antitrust Division of the DOJ to retroactively unwind mergers that are prohibited under the bill or that meet certain other anticompetitive criteria such as a merger that results in a greater than 50% share of a relevant market.

Sponsors: Sen. Warren, Elizabeth [D-MA]

Target Audience

Population: Individuals impacted by corporate mergers and antitrust activities

Estimated Size: 250000000

Reasoning

Simulated Interviews

Software Engineer (San Francisco, CA)

Age: 45 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 10.0 years

Commonness: 5/20

Statement of Opinion:

  • I've seen how these big tech mergers can stifle competition and innovation.
  • This policy might give smaller companies a better chance to grow, which is good for the industry.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 7 7
Year 2 8 6
Year 3 8 5
Year 5 9 5
Year 10 7 4
Year 20 7 3

Media Analyst (New York, NY)

Age: 40 | Gender: male

Wellbeing Before Policy: 6

Duration of Impact: 20.0 years

Commonness: 7/20

Statement of Opinion:

  • This policy could significantly impact major media mergers, affecting market dynamics.
  • Unwinding large mergers might lead to more diverse media content and benefits to consumers.

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 9 5
Year 20 9 4

Healthcare Professional (Boston, MA)

Age: 32 | Gender: female

Wellbeing Before Policy: 5

Duration of Impact: 15.0 years

Commonness: 6/20

Statement of Opinion:

  • Pharmaceutical mergers are a big issue as they can reduce drug innovation and increase prices.
  • This policy could lead to more drug options and better pricing.

Wellbeing Over Time (With vs Without Policy)

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

Small Business Owner (Cleveland, OH)

Age: 55 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 10.0 years

Commonness: 17/20

Statement of Opinion:

  • Big mergers have hurt local businesses by creating overwhelming competition.
  • Stronger controls could level the playing field for small businesses like mine.

Wellbeing Over Time (With vs Without Policy)

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

Freelancer (Houston, TX)

Age: 29 | Gender: other

Wellbeing Before Policy: 6

Duration of Impact: 5.0 years

Commonness: 15/20

Statement of Opinion:

  • Tech and platform companies dominate freelancer opportunities, reducing negotiating power.
  • This policy might increase competition and opportunities for freelancers.

Wellbeing Over Time (With vs Without Policy)

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

Union Representative (Chicago, IL)

Age: 50 | Gender: male

Wellbeing Before Policy: 5

Duration of Impact: 20.0 years

Commonness: 10/20

Statement of Opinion:

  • Job security is at risk when companies merge, especially in terms of reducing workforce.
  • This policy could protect jobs by keeping companies in check.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 6 5
Year 2 7 4
Year 3 8 4
Year 5 8 3
Year 10 9 3
Year 20 8 2

Student (Los Angeles, CA)

Age: 23 | Gender: female

Wellbeing Before Policy: 7

Duration of Impact: 5.0 years

Commonness: 12/20

Statement of Opinion:

  • Anticompetitive mergers harm consumers and economy.
  • This bill supports fair competition and benefits economic growth.

Wellbeing Over Time (With vs Without Policy)

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

Retired (Seattle, WA)

Age: 60 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 16/20

Statement of Opinion:

  • Corporate mergers reduce consumer choices and rights.
  • This policy could restore fairness in consumer markets.

Wellbeing Over Time (With vs Without Policy)

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

Telecom Manager (Dallas, TX)

Age: 38 | Gender: male

Wellbeing Before Policy: 7

Duration of Impact: 20.0 years

Commonness: 11/20

Statement of Opinion:

  • Telecom mergers often restrict competition and lead to high consumer prices.
  • Restricting such mergers can benefit the market and consumer options.

Wellbeing Over Time (With vs Without Policy)

Year With Policy Without Policy
Year 1 8 7
Year 2 8 6
Year 3 9 6
Year 5 9 5
Year 10 9 4
Year 20 8 4

Financial Analyst (Miami, FL)

Age: 47 | Gender: female

Wellbeing Before Policy: 6

Duration of Impact: 10.0 years

Commonness: 14/20

Statement of Opinion:

  • This policy could lead to more careful and justified mergers.
  • Reduces risks of poor market health and overly large conglomerates.

Wellbeing Over Time (With vs Without Policy)

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

Cost Estimates

Year 1: $1000000000 (Low: $800000000, High: $1200000000)

Year 2: $1050000000 (Low: $850000000, High: $1250000000)

Year 3: $1100000000 (Low: $900000000, High: $1300000000)

Year 5: $1200000000 (Low: $1000000000, High: $1400000000)

Year 10: $1500000000 (Low: $1200000000, High: $1800000000)

Year 100: $4000000000 (Low: $3200000000, High: $4800000000)

Key Considerations