Impact of employment support programs on the quality of youth employment: Evidence from Senegal's internship program
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract Youth unemployment is major policy concern in Senegal. The country has in recent years, implemented several programs to combat unemployment and the precariousness of youth employment in the labor market. However, the results of these programs are to date hardly perceptible. The objective of this work is to assess the impact of employment support programs on the quality of youth employment. We provide empirical evidence of the effect of the apprenticeship program implemented by the National State‐Employer Convention in facilitating youth access to quality employment. Job quality is determined using an index that captures multiple wage and non‐wage dimensions of job quality. Using survey data on the improvement of employment policies from 2746 individuals, we use the endogenous switching regression method and the propensity score matching method to assess and compare the impact of the apprenticeship program on the quality of jobs held by young men and women. The results show that the apprenticeship program has a positive and significant impact on job quality. Indeed, we find that the quality of employment is better for young men and women who benefited from the internship program than for those who did not. We find, however, that there is a difference in job quality between males and females who received the program. The differences in job quality are explained more by differences in job characteristics but are not directly related to gender or age.
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.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it