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Record W7034343707

Sustainability of the Macedonian Current Account

2011· other· en· W7034343707 on OpenAlexaboutno aff

Bibliographic record

VenueEconstor (Econstor) · 2011
Typeother
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsnot available
Fundersnot available
KeywordsCurrent accountMacedonianSustainabilityCurrent (fluid)Order (exchange)Deficit spendingQuarter (Canadian coin)
DOInot available

Abstract

fetched live from OpenAlex

Most of the emerging European countries, including Republic of Macedonia, are faced with greater or smaller current account deficits, which raise the concern about their sustainability in the long run. This working paper examines the sustainability of the Macedonian current account deficit using the structural model of the current account. According to this model, the current account is viewed as the outcome of variations in macroeconomic "structural" determinants that influence the saving-investment balance. The results show that budget deficit, economic growth, FDI and financial intermediation are the variables that had an effect on the Macedonian current account in the period 1998-2009, and that the sustainable level of the current account deficit is in the range of 5.3%-9.1% of GDP. The current account deficit was fluctuating around this sustainable level most of the time, which indicates that external equilibrium was not jeopardized. However, in the period between the last quarter of 2007 and the first quarter of 2009, due to the two external shocks in this period (the global increase of prices and the global recession), the current account deficit was higher than the sustainable level, which suggested a violation of the external equilibrium. Although the equilibrium was restored later in 2009, this historical episode points out the need for structural reforms in the Macedonian economy in order to avoid repeating such episodes in the future.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.100

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0000.002
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.021
GPT teacher head0.233
Teacher spread0.211 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2011
Admission routes1
Has abstractyes

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