Swift and Colossal Monetary Interventions Bring Recovery in Industrial Countries
Notice bibliographique
Résumé
I. GLOBAL ASSESSMENT AND OUTLOOK In the third quarter of 2008, the worldwide banking crisis spread to non-bank financial institutions bringing financial markets to a standstill and the global economy into recession. The latest evidence from quarterly national accounts show that in the third quarter of 2008, the combined output of the member countries of the Organization for Economic Cooperation and Development (OECD) - the 30 richest economies in the world - was estimated to have declined at an annual rate of 0.4 percent from the second quarter. In the United States, real output edged down 0.5 percent following a 2.8 percent increase in the second quarter. Monthly GDP clearly point to an output decline in the last quarters of 2008, thus the U.S. economy has entered a technical recession - two consecutive quarters of declining real GDP - in the third quarter of 2008. The Euro Area entered a technical recession in the second quarter of 2008 as real GDP declined by an annual rate 0.8 percent in both the second and third quarters of the year. In the third quarter of 2008, the two major European economies of Germany and Italy posted steep declines in output growth of 2 percent, respectively. Similarly, the United Kingdom entered its technical recession in the second quarter of 2008 as output declined in the third quarter by 2 percent, following a zero growth mark in the second quarter. The Japanese economy is also in a technical recession as real GDP declined by an annual rate of 0.4 percent in the third quarter, following a fall of 3.6 percent in the second quarter. Recent economic activity indicators from emerging economies in Asia, an important driver of the global economy, also showed signs of slowdowns, particularly from the fast growing populous countries of China and India. In the third quarter of 2008, real GDP expanded by 9.9 percent in China and 7.6 percent in India, in comparison to the same quarter a year ago. These latest growth rates compare with annual growth rates of 11.9 percent in China and 9.3 percent in India during 2007. Swift, colossal, and coordinated worldwide monetary policy has begun to restore confidence in the credit and money markets. Moreover, worldwide expansionary fiscal stimuli - including spending on public works, investment tax credits and income tax cuts are already implemented or designed without delay to bring economic activity as early as possible into the recovery phase of the global business cycle. In addition, falling oil prices operate as tax cuts for consumers increasing real disposable incomes, which boosts spending on non-energy goods and services. Our short-term forecast calls for a V-shaped recession with an early recovery. Growth in economic activity in the industrial countries is forecast to bottom out in the first quarter of 2009. II. SHORT-TERM INDICATORS AND FORECASTS The baseline forecast incorporates major findings of the World Economic Survey conducted by the German Ifo Institute and the Paris-based International Chamber of Commerce in the fourth quarter of 2008. About 1,000 executives from 91 countries have indicated that the world's economic climate deteriorated in the fourth quarter of 2008 to its lowest level on record. The recent overall reading of the worldwide survey is consistent with a global economic weakness. Worldwide, executives evaluated the current situation, fourth quarter of 2008, unfavorably with overall economic conditions substantially below satisfactory levels. They found economic activity in their countries in the fourth quarter of 2008 to be worse than in the fourth quarter of 2007. Regarding the future, executives expect economic conditions in the first two quarters of 2009 to be slightly below current economic conditions prevailing in the fourth quarter of 2008. Using the soft data findings of the World Economic Survey, a 91 -country composite global business activity index is constructed by e-forecasting to evaluate and forecast the short-term worldwide business cycle. …
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,003 | 0,006 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,002 | 0,002 |
| Communication savante | 0,006 | 0,002 |
| Science ouverte | 0,001 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,013 | 0,002 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».