64th ISI World Statistics Congress - Ottawa, Canada

64th ISI World Statistics Congress - Ottawa, Canada

Long-term unemployment in Morocco: Profils and determinants


Oussama RIDA



64th ISI World Statistics Congress - Ottawa, Canada

Format: CPS Paper

Keywords: labour, logit, regression


There is a concern among governments about reducing unemployment because this is a sign of a dysfunctional labor market. Thus, it adversely impacts the individual and social welfare of the population by reducing their purchasing power. In general, the longer an unemployment period lasts, the more severe its consequences will be. Therefore, giving priority to long-term unemployment is imperative, since it weakens individuals physically and psychologically and reduces their chances of finding a job. Long-term unemployment refers to unemployment for one year or more. It represents about 70% of the total unemployment in Morocco.
This article aims to identify, for Morocco, the profiles of individuals who are most likely to become long-term unemployed. This analysis, based on the Labor Force Survey, uses micro-data about the unemployed in Morocco in 2019. Logistic regression was used to determine the likelihood of long-term unemployment (vs. short-term unemployment). Main empirical findings indicate that urban unemployed, women and older people have a higher risk of long-term unemployment. Having a higher education also increases the risk, whereas being married decreases its incidence.