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BUILDING BETTER INSTITUTIONS

2006· article· en· W346314430 sur OpenAlexaboutno aff
Rodrigo Rato

Notice bibliographique

RevueCato Journal · 2006
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueGlobal Financial Crisis and Policies
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésLanguage changeCompetition (biology)State (computer science)Political sciencePrivate sectorSchedulePublic institutionLaw and economicsEconomicsBusinessPublic administrationLawManagement
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

It is a pleasure to be here today at the Cato Institute. I know that Cato believes in competition. Perhaps it is this spirit of competition that led you to schedule today's conference to coincide with the International Monetary Fund's research conference and steal the IMF's managing director and its current and past directors of research as participants. But while you have missed out on our research conference you will not miss out on our research: my talk today is based to a large extent on the findings of our latest World Economic Outlook, which conveniently has the theme Building [IMF 2005a]. My remarks address three questions. First, what have we learned about the importance of institutions in promoting economic development? Second, how we can accelerate the transition to better institutions? And, third, what reforms of international organizations, the IMF in particular, are needed to help this transition? The Importance of Institutions Let me begin with what we have learned about the importance of good institutions. By good institutions, I mean the adoption of policy frameworks in which there is acceptance of several broad principles: * First, the private sector is recognized as the main actor on the economic stage, with the state stepping in to provide appropriate regulation of markets. * Second, there is a commitment to protecting property rights and creating an environment where innovation can thrive. * Third, the rule of law prevails, and corruption is not tolerated in either the public or private arenas. * And, fourth, there is a stable macroeconomic environment, reflected in low inflation and a sustainable fiscal position. All this sounds to us today like common sense. But it is the evidence that has accumulated over the last few decades that has led to universal acceptance of these propositions. Forty years ago, with the Soviet Union still standing, many countries were tempted to give the state control over the commanding heights of the economy. That is not the case today. It took a resurgence of interest among economists in the 1960s and 1970s to improve our understanding of how vested interests block economic growth. One of those economists was my colleague Anne Krueger who coined the term rent in a famous paper published in 1974. Attitudes toward corruption were also different then. In many countries, corruption was not just tolerated but almost welcomed as necessary to grease the wheels of commerce. Today, these same countries are engaged in a difficult but necessary battle to eliminate corruption. Finally, the idea of seeking salvation through inflation has also been abandoned in recent decades. In the 1960s inflation was tolerated in the belief that it helped lower unemployment. Inflating one's way out of trouble was politically tempting for governments around the world and was regarded as imposing relatively few long-term economic costs. Indeed, as late as the early 1990s, annual inflation averaged more than 40 percent in Africa and more than 200 percent in Latin America, compared with the single-digit rates in both regions today. Clearly, attitudes and institutional frameworks have changed, as reflected in the sharp decline in inflation rates all over the globe and the independence of central banks. It is not easy to quantify these changes in attitudes but it can be done. By combining information of the prevalence of the rule of law, the extent of regulatory burdens, the degree of corruption, the independence of central banks, and so on, one can create indexes of the quality of institutions. The work by IMF staff on the role of institutions relies quite heavily on these indexes, particularly the index of economic freedom published by the Fraser Institute in Canada in conjunction with the Cato Institute and other think tanks worldwide (see Gwartney and Lawson 2005). …

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)0,022
score de la tête « metaresearch » (Gemma)0,029
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: Commentaire · Signal consensuel: aucune
Score de désaccord entre enseignants0,051
Score d'incertitude au seuil0,170

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0220,029
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0020,002
Études des sciences et des technologies0,0100,023
Communication savante0,0170,031
Science ouverte0,0030,022
Intégrité de la recherche0,0080,011
Charge utile insuffisante (le modèle a refusé de juger)0,0510,016

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 Opus0,034
Tête enseignante GPT0,249
Écart entre enseignants0,215 · 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
GenreCommentaire

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

En bref

Citations3
Publié2006
Routes d'admission1
Résumé présentoui

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