Arbeitspapier
Consumer Surplus as the Appropriate Standard for Antitrust Enforcement
In antitrust enforcement as in cost-benefit analysis, neoclassical economics may be interpreted as arguing for the use of a "total welfare" standard whose implementation treats transfers as welfare-neutral. Several recent papers call for antitrust agencies to move in the direction of this version of a total welfare standard for enforcement. However, as Williamson (1968) noted, horizontal mergers typically result in transfers that may greatly exceed in magnitude any deadweight loss or efficiency gain, so that a decision to ignore transfers may be quite important. I argue that such transfers are likely overall to be quite regressive, and thus that a consumer surplus standard rather than a total welfare standard may be appropriate for antitrust. Two common arguments against this standard – that most mergers are in markets for intermediate goods, and that a consumer welfare standard implies a tolerance for monopsony – are examined and found wanting. I argue in addition that, even if a total welfare standard is used, both the finance literature on merger outcomes and the structure of the U.S. enforcement agencies suggest that the use of a consumer surplus standard by the agencies is more likely to achieve that goal.
- Sprache
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Englisch
- Erschienen in
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Series: EAG Discussion Paper ; No. EAG 07-9
- Klassifikation
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Wirtschaft
Institutions: Design, Formation, Operations, and Impact
Personal Income, Wealth, and Their Distributions
Mergers; Acquisitions; Restructuring; Voting; Proxy Contests; Corporate Governance
Antitrust Law
Antitrust Issues and Policies: General
- Ereignis
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Geistige Schöpfung
- (wer)
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Pittman, Russell
- Ereignis
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Veröffentlichung
- (wer)
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U.S. Department of Justice, Antitrust Division, Economic Analysis Group (EAG)
- (wo)
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Washington, DC
- (wann)
-
2007
- Handle
- Letzte Aktualisierung
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10.03.2025, 11:42 MEZ
Datenpartner
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Objekttyp
- Arbeitspapier
Beteiligte
- Pittman, Russell
- U.S. Department of Justice, Antitrust Division, Economic Analysis Group (EAG)
Entstanden
- 2007