Effect of Unemployment Rate on Growth Rate of Gross Domestic Product of Jordan
Bibliographic record
Abstract
This study explains the effect of unemployment rate on growth rate of GDP of Jordan by depending on yearly data for the period (2009 – 2016) as unemployment rate is independent variable, and growth rate of GDP (Avariable of economic growth) as a dependent variable. This study focuses on explaining the literature both in theoretical and empirical ways of the effect of unemployment rate on growth rate of GDP, and analyzing the effect of unemployment rate on growth rate of GDP of Jordan by depending on yearly data for the period (2009 – 2016) by using the technique of ordinary least squares in version of E-views. This paper found that there are insignificant impacts of unemployment percentage to total labor force, unemployment of males percentage to male labor force, unemployment of females percentage to female labor force on growth rate of GDP of Jordan by relying on yearly data for the period 2009 to 2016 at level of significance 5%. This paper recommends testing the impacts of other obstacles in Jordan on growth rate on GDP, in order to know the variables that effect growth rate of GDP in Jordan.
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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 | 0.001 | 0.004 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".