Job Satisfaction in Post-Arab Spring Egypt and Tunisia: Between Hope and Hardship
Notice bibliographique
Résumé
This study examines job satisfaction in Egypt and Tunisia following the 2011 Arab Spring, with a focus on how labor market conditions and workplace characteristics shaped worker well-being during this critical period of political and economic transition. Using nationally representative labor market panel surveys from both countries, the analysis applies ordered probit models to explore the determinants of both overall and domain-specific job satisfaction. The findings highlight that access to employment benefits—such as social and medical insurance, paid sick leave, formal contracts, union membership, and supervisory roles—are consistently linked to higher satisfaction levels. In contrast, workers in large establishments, temporary contracts, private-sector jobs, or night shifts tend to report lower satisfaction. The analysis also uncovers important cross-country differences. While higher education is positively associated with job satisfaction in Tunisia, this relationship is not evident in Egypt, suggesting different returns to education in each context. Moreover, gender and residential location are found to influence job satisfaction, pointing to deeper structural inequalities in labor market experiences. To ensure the robustness of these findings, two additional checks were conducted. First, a subsample analysis focused on youth revealed lower levels of job satisfaction among younger workers, particularly in relation to wages and job stability. This suggests that labor market insecurity is especially acute for new entrants to the workforce. Second, interaction models between gender and key job characteristics revealed that women’s job satisfaction is more sensitive to working conditions, contract security, and sector of employment. These extensions confirm that job satisfaction outcomes are not only shaped by individual and workplace factors but also differ meaningfully by age and gender. By leveraging data from the immediate post-Arab Spring period, this study provides a valuable benchmark for understanding the long-term consequences of political upheaval on labor market experiences. The results offer actionable insights for policymakers addressing persistent challenges such as informality, job insecurity, and youth disillusionment in transitional economies. JEL classification: J28, J30, J41, J81
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».