Law and Economics Scholarship and Supreme Court Antitrust Jurisprudence, 1950–2010
Bibliographic record
Abstract
Although law and economics has influenced nearly every area of American law, few have been as deeply and as thoroughly "economized" as antitrust. Beginning in the 1970s, antitrust law—traditionally informed by populist hostility to economic concentration—was dramatically transformed by a new and overriding focus on economic efficiency. This transformation was associated with a provocative new wave of antitrust scholarship, which claimed that economic efficiency (or "consumer welfare") was the sole legitimate aim of antitrust policy. The U.S. Supreme Court seemingly agreed, issuing decision after decision rejecting traditional antitrust values and adopting the efficiency norm of the law and economics movement. By century's end, the populist origins of antitrust had faded into memory, and the professional discourse of the antitrust community (scholars, practitioners, and judges) had become dominated by economic analysis. Although this transformation in antitrust law has been the subject of considerable academic commentary, its causes remain poorly understood. Many scholars assume, sometimes tacitly, that the economic analysis of law and economics scholarship had a direct, educative influence on the Supreme Court. Other scholars argue that changes in the Court’s antitrust jurisprudence were merely a reflection of changes in its composition, specifically the conservative appointments of the Nixon administration. What these opposing interpretations share in common is their limited evidentiary basis—both are derived from impressionistic reviews of a select number of Supreme Court decisions, rather than systematic analysis of larger historical trends. This article moves beyond previous scholarship by presenting a comprehensive, quantitative study of every Supreme Court antitrust case from 1950 to 2010, a period including the decades before, during, and after the economic turn in antitrust. This comprehensive approach allows for more generalized conclusions regarding the real-world influence of law and economics scholarship. Based on both quantitative and qualitative evidence, this article concludes that the Nixon appointments of the late 1960s and early 1970s were the primary cause of changes in antitrust jurisprudence, but that academic developments have infused these changes with an intellectual legitimacy they might otherwise have lacked, broadening their appeal and effectively insulating them from future changes in the composition of the Court.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.010 | 0.027 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".