FACTORS AFFECTING CURRENT ACCOUNT IN THE REPUBLIC OF MACEDONIA
Bibliographic record
Abstract
Large and persistent current account deficit in most of the transition countries have attracted considerable attention, especially with the beginning of the world economic crisis. Even though common trends in the transition countries are included in the analysis, the main focus of this paper is to provide theoretical and empirical study of the main determinants of the current account in Macedonia. Multiple regression model with ordinary least squares estimator (OLS) was used for the analyzed period January 2003 – September 2012. According to the results, the variables: budget deficit, foreign direct investments, ratio of export and import, new approved credits are statistically significant determinants of the current account in Macedonia. In general, these are structural factors that affect the external imbalance. Still, part of the deepening of current account deficit (especially during third quarter of 2007 and first quarter of 2009) appears to be related to external shocks: global increase of the prices and world economic crisis. These cyclical factors reversed alongside the economic recovery during 2009, and the current account deficit was back to its average levels. This indicates the urgent need for structural changes in the Macedonian economy in order to decrease its external vulnerability in the future.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".