Gender discrimination in the Tunisian labor market : the youth crisis

Abstract EN

This paper combines micro-level and macro-level approaches into a unified empirical design to understand the gender gap in Tunisian labor market participation.

We use a multilevel propensity score matching analysis in order to reduce selection bias by accounting for the random effects across areas in a hierarchical data structure.

Our empirical evidence suggests that despite the admirable progresses in women’s rights and human capital in Tunisia, labor force participation rates are still higher for men than for women.

This discrepancy between men and women in their labor market force participation generates a per capita income loss of 20 per cent.