The effect of education on the duration of unemployment in Czech republic
Bibliographic record
Abstract
The overal goal of this thesis is to analyze factors which determine the duration of unemployment in the current labor market in Czech Republic. The specific aim of the work is to analyze the relationship between reached level of education and the duration of unemployment in Czech Republic. According to the Chicago school theory of human capital is among people with higher education proved lower level of unemployment and more efficient search for free job possitions. Based on this theory, the work is aiming to test the hypothesis that the reached level of education actually affects the length of job rediscovery even in Czech Republic. I try to verify the hypothesis about the connection between the duration of unemployment and education level using data provided by the Ministry of Labour and Social Affairs. Specificaly, it is a quarterly data from the second quarter of 2009 to the forth quarter of 2011. In accordance with empirical studies it has been proved that better educated candidates experience shorter duration of an unemployment. The probability of having found a job possition within shorter period is rising with higher educational level. The basic hypothesis of the thesis has been confirmed. Secondly, it has also been found out, that the proportion of higher educated people registered on Labor Bureau decreases with longer period. On the reverse, the proportion of unemployed inhabitants with lower level of education is rising with longer period. As for the variable sex, men show shorter time needed to find a new job possition.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".