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Record W1524160672

Unfavourable investment data – risks to economic growth?

2007· article· en· W1524160672 on OpenAlexaboutno aff
Péter Gál

Bibliographic record

VenueMNB Bulletin (discontinued) · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicHungarian Social, Economic and Educational Studies
Canadian institutionsnot available
Fundersnot available
KeywordsInvestment (military)EconomicsCapital (architecture)Potential outputReturn on investmentReturn of capitalMonetary economicsAggregate demandEconomic recoveryQuarter (Canadian coin)Market economyMacroeconomicsInvestment performanceMonetary policyProduction (economics)
DOInot available

Abstract

fetched live from OpenAlex

Future potential economic growth is a factor of key importance in judging the expected output gap and the inflationary pressure it entails. One important element of potential growth is the level and growth of real capital, which is materialized via investment. The tendency of investments thus provides an indication on the future potential growth. On the other hand, investments in the economy are part of aggregate demand, and thus in addition to its impact in the future, it also affects the present output gap and inflationary pressure. Finally, investments also offer insight into the expectations of economic actors regarding future prospects. The decline in the volume of investment registered in 2006, unprecedented in the last ten years, thus has particular significance from the central banks' perspective. This decline was experienced in a wide range of breakdowns: among the types of investment assets (construction, machinery purchases) as well as in corporate and household sector private investment. The drop in the household and non-tradable corporate sectors is in line with weak domestic demand resulting from the fiscal adjustment. But the fall of investment in the tradable sector is surprising in light of the favourable current state of and outlook for European economic activity. Although there was a modest correction in this trend in the first quarter of 2007, a lasting weakness in capital expansion may indicate the long-term presence of a disadvantageous investment climate in Hungary.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.691
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.005

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 head0.114
GPT teacher head0.382
Teacher spread0.268 · 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; both teacher heads agree on what is shown here.

Study designNot applicable
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
Published2007
Admission routes1
Has abstractyes

Explore more

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