The impact of active labour policies on economic growth
Bibliographic record
Abstract
This study aims to analyze the mechanisms of active labour market policy in the case of Kosovo and the impact on reducing the unemployment rate and increasing employment. This research is descriptive, analytic, and exploratory. The data used are secondary data in the quarter for the period 2016–2020, which are provided by the Kosovo Agency of Statistics. The study uses the OLS (ordinary least square) econometric model and Pearson correlation in order to assess the impact of unemployment and employment rate on Kosovo’s GDP (gross domestic product). The paper concludes that Kosovo has approved a large number of programs for the activation of the unemployed, mainly young people, but generally young university graduates are in a higher structure and rate in the composition of the unemployment rate. It is generally accepted that university graduates as workforce are the key driver of economic growth and development (Ziberi, Rexha, & Ukshini, 2021). This allows us to come up with further recommendations, such as the active policies in labour market in the case of Kosovo to be designed in the future based on a cost-benefit perspective and in order to measure their effectiveness
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".