The determinants of labor market integration of migrants and refugees in Morocco: Case of the AMUDDU project

Abstract

The aim of this paper is to reveal the determinants involved in the professional integration of migrants and refugees in Morocco. To achieve this, we used a database collected by ENABEL and AMAPPE, from a questionnaire administered in 2019 and 2022. This survey identified 697 hosted and informed migrants and refugees. Its objective was to ask migrants and refugees who are beneficiaries of the AMUDDU project about their employment status.

We use a logistic regression model to identify the probability that a migrant is inserted. The dependent variable in our analysis is the job insertion which takes two variables (1 if inserted and 0 otherwise). The independent (predictive) variables are: Age, length of stay, gender, language level, degree, work experience, scholarship and number of children.

Our logistic regression results show that the probability of entering the labor market is determined by the length of stay in Morocco, the level of proficiency in Arabic and French, professional experience and degree. However, age, gender, scholarship, and number of children do not seem to have a significant influence on labor market integration. 

Despite the relevance of the results obtained. This is a first step in the analysis of the explanatory determinants of the problem of professional integration in Morocco. Thus, an impact study based on the counterfactual situation can represent a logical continuation of our wok.

JEL Classification: O15, J61

Paper type: Empirical research