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Enregistrement W7113594611

Competition Policy at the Intersection of Equity and Efficiency: The Developed and Developing Worlds

2019· article· W7113594611 sur OpenAlexaboutno aff

Notice bibliographique

RevueeYLS (Yale Law School) · 2019
Typearticle
Langue
DomaineBusiness, Management and Accounting
ThématiqueCorporate Insolvency and Governance
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésEquity (law)GospelQuarter (Canadian coin)Social equalityCompetition (biology)Government (linguistics)DemocracyEmpirical evidence
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In the last quarter of the last century in matters of economic law, it was common cause that we could pursue either efficiency or equity but not both; the twain would not meet. I never believed it. The gospel of efficiency was ushered into US antitrust by the Chicago School, whose beautiful proofs, dating at least from the 1960s, were resisted by US law and policymakers until the early 1980s. They gained traction with the presidential election of Ronald Reagan (1980), validating national sentiment that government had wormed its way too deeply into the business of business; that business was essentially efficient, and that if we simply let business free to do the work of business we would all be better off. Pursuit of equity was regarded as wrong-headed. If we pursued equity, we would undermine efficiency. The pie would shrink and we would all be worse off. Arthur Okun’s book, Equality and Efficiency: The Big Tradeoff, laid a foundation for this thesis. In the book, which itself was a gospel until the early twenty-first century, Okun concluded from theory that as we equalize the distribution of income we decrease the efficiency of the economy and that therefor society should forgo greater equality for a healthier economy. Empirical research indicated the contrary, e.g. Lane Kenworthy, Equality and Efficiency: The Illusory Tradeoff, but seems to have attracted little attention in the United States. At least in the US antitrust community, since the third quarter of the twentieth century, there has been a widely shared belief that efficiency is the holy grail, and moreover, that US antitrust precedents in the 1960s to the mid 1970s (which constructed an antitrust of the underdog and equated antitrust with economic democracy) was erroneous if not also contemptible. There was in any event a missing link. The literature on equality and efficiency normally referred to income equality, which is equality of outcome, and the equality (or equity) embedded in 1960s US antitrust was equality of opportunity and inclusiveness. This seemed an unimportant distinction to the Chicagoans of the 1970s–1980s, who adopted a line taken out of context from the Brown Shoe opinion of the Supreme Court in 1962 enjoining what today we would call a trivial merger: “It is competition, not competitors, which the Act protects.” The epithet was and is commonly used as an iteration of the equity–efficiency trade-off: do not give weight to the position of (smaller) competitors or you will harm efficiency. Equity, equality, opportunity, fairness—don’t go there. The science of antitrust economics is about efficiency. Equity undermines efficiency. The break did not come until the turn of the twentieth century, both through experience and research. The experience was a harsh one; it was the brutal recession of 2007–8. Alan Greenspan, who was chairman of the Federal Reserve Board and thus the leader of monetary policy for the United States, had to admit that there was “a flaw [in my] model.” Some blame was laid at the feet of the economists, who were so sure that the market would work that they opposed regulation of new financial instruments derived from mortgages sold to low-income home buyers who could afford the mortgage only so long as house prices continued to rise. Theory had outrun reality. One might have thought that US antitrust jurisprudence (which by then was extremely laissez-faire with respect to the monopoly violation) would take on board the lesson of too much trust in the market. But it did not.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,004
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,083

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0040,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0030,029
Communication savante0,0110,012
Science ouverte0,0010,005
Intégrité de la recherche0,0030,006
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,021
Tête enseignante GPT0,251
Écart entre enseignants0,230 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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