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Record W242392248

Global Monetary Easing Brings a Rebound in Growth

2001· article· en· W242392248 on OpenAlexaboutno aff
Evangelos Otto Simos

Bibliographic record

VenueThe Journal of Business Forecasting Methods & Systems · 2001
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsnot available
Fundersnot available
KeywordsRecessionBusiness cycleEconomicsEconomic recoveryPaceEconomic indicatorProductivityRestructuringGlobal recessionEconomic policyMacroeconomicsFinanceGeography
DOInot available

Abstract

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I. Global Assessment and Outlook After a remarkable performance during the expansionary phase of the global business cycle, the major industrial countries led by the United States appear to experienced uneven declines from their cyclical peaks that reached in the first half of 2000. The disparities in the current economic weakening among industrial countries have increased uncertainty and, consequently, instability in the financial markets. In the United States, the business and policy environment supporting investments in information technology at a rapid pace reached its cyclical high in 2000. With a year lag, the rest of the world, in particular the industrial countries, underwent the US-led technology transformation with restructuring and adjustments at a slower than the United States pace resulting in divergent productivity gains and economic growth developments. The extent and the timing of the current global slowdown have not yet been well identified because of the lag in the availability of overall economic data such as GDP. The current assessment of the situation by businesses and policy makers relies on monthly data. In the United States, several indicators such as the National Association of Purchasing Managers (NAPM) index, the Conference Board's leading indicator and consumer confidence are falling to cyclical lows and point to a substantial economic slowdown or even a recession. It is widely accepted that the manufacturing sector of the United States economy has been already in a recessionary phase of the cycle. Similarly, in the Euro Area overall economic growth weakened in the second half of 2000. Monthly industrial production indicators declined and leading confidence indicators for consumers and businesses have been falling pointing to a deterioration of the European economic conditions. The current slowdown has its roots in structural, cyclical and policy elements of the business cycle. The uneven and desynchronized technology stimulus has generated the structural forces that partially have shaped the current path of the global economic slowdown. The cyclical factors of the lead/lag relationship of investment, profits, consumer expenditures and inventories have substantially contributed to the recent phase of the cycle. An investment-led growth has been the characteristic of the last United States economic boom. Another important factor that identifies each country's strength and position in the global cycle is economic policy, particularly monetary policy, and its relation to domestic and external imbalances. There were two important factors under consideration in building the baseline forecast for the global economy: Will investment growth stagnate? The recent economic boom has been driven by a remarkable growth in investment, especially in the technology area. Declines in investment, caused by a profits slowdown and/or unrealistic and unsustainable high investment levels in the recent past, will have serious consequences on the overall economic activity and may lead to recessions in several countries. What will be the monetary policy? Central banks have the ability to quickly react to economic conditions. The effects of monetary policy appear on the economy with a lag of about one-year. It is, therefore, apparent that an assessment of current economic conditions and an evaluation of the anticipated design of monetary policy will be of enormous importance for the short-term forecast of the global economy. About 700 business executives from around the world have provided an input to answer these two questions. Looking at Table 4, the business experts from all geographic areas except in the United States and Canada have evaluated investment capital expenditures - to have increased in the first quarter of 2001 compared to the same quarter in 2000. When the business executives were asked to anticipate capital expenditures in the next two quarters, they projected declines from current levels, with the exception of the developing countries in Africa and the countries-in-transition Eastern Europe and the former states of the Soviet Union, the Confederation of Independent States (CIS). …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score0.685

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.094
GPT teacher head0.295
Teacher spread0.201 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2001
Admission routes1
Has abstractyes

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