Compensating Differentials and the Value of Job Security: Evidence from the Egyptian Public Sector
Bibliographic record
Abstract
This paper considers the determinants of male and female pay in the public and private sectors by estimating a joint model of sector allocation and wage determination using cross-sectional data from the Egyptian 1987 and 1997 labour force surveys. A model of compensating wage differentials is defined and estimated, in order to quantify the value of arguably the three most important non-pecuniary aspects of public sector employment: job security, fringe benefits (especially comprehensive retirement pensions) and lower effort and shorter hours which allow workers to supplement income through obtaining a second job. Estimates of the public-private differentials, correcting for differences in characteristics and selectivity, indicate a public sector disadvantage for males and a small advantage for females in 1987. Relative public sector wages improved for both males and females in 1997, and when adjustments for non-wage benefits are included, public sector premia are observed in all segments of the public sector for both males and females. The results highlight the importance of job security as the major factor determining the persistence of queues for public sector jobs in Egypt.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".