Abstract
This article is timely to evaluate Active Labor Market Policies (ALMPs) in Tunisia in 7 regions throughout the period from 2005 to 2014 with reference to OECD countries. Massive unemployment in Tunisia resisted during this period (15,3% in 2014), followed by major changes after the transition period. In order to study the efficiency levels achieved by the Tunisian Active Labor Market Policies, we propose a parametric method, namely the Stochastic Frontier Approach ‘SFA’. Our results show that the total ALMPs significantly affects the unemployment rate. Thus, the average efficiency score of ALMP in Tunisia (0,94) is lower than that of the OECD countries (0,97). The divergence is due to structural and cyclical differences, which highlights the imperative to adopt a model adequate to the specificity of Tunisia. Tunisian public employment service policies have been shown to be insignificant compared to those of OECD countries. Start-up incentives seem to be the most effective policy to reduce the unemployment rate in the OECD countries’ and Tunisia because of its low cost.
Disclosure statement
No potential conflict of interest was reported by the authors.
Notes
1 The National Employment Agency and Self Employment is a non-administrative public institution with a civil personality and an administrative and financial autonomy.
Additional information
Notes on contributors
Marwa Sahnoun
Marwa Sahnoun holds PhD in Economics at the Faculty of Economics and Management of Sfax, Tunisia, and is currently a contractual assistant in Economics at the Department of Economics of the Faculty of Economics and Management of Sfax. Her research interests include labor markets and policy evaluation in developed and developing countries, labor market analysis, human capital, economic development and quality of governance.
Chokri Abdennadher
Chokri Abdennadher is Professor in Economics at the Faculty of Economics and Management of Sfax, Tunisia. His research interests include human capital, labor market analysis, higher education and professional integration, adjustment education employment, labor market segmentation and wage differentials.