This dissertation aims to study the determinants of youth unemployment in the Arabic world. The study starts with exploring the effect of (labour market, economic, and educational, economic freedom, financial crisis) variables on youth unemployment, total unemployment, and adult unemployment. Next, the study investigates the impact of Labour Market Regulations (LMR) and its variables on youth unemployment total unemployment and adult unemployment. Moreover, the study explores the impact of minimum wage on youth, total and adult unemployment. On the case of male youth unemployment, the results show GDP growth, government revenues, percentage of GDP, manufacturing value added (% of GDP), employment in service, and economic freedom are the determinants of male youth unemployment. In the case of female youth unemployment, the results show Imports of goods and services (% of GDP), government revenues, percentage of GDP, trade percentage of GDP, manufacturing value added (% of GDP), employment in service, education index, economic freedom are the determinants of female youth unemployment. The dissertation is located in six chapters which include topics and objectives, literature review, material and methods, research findings and their evaluations, conclusions, and recommendations and main conclusions and novel findings of the dissertation. In addition to that, the study results show that imports of goods and services (% of GDP), government revenues, percentage of GDP, and economic freedom are associated significantly with total unemployment. Therefore the determinants of total unemployment are Imports of goods and services (% of GDP), government revenues, percentage of GDP, and economic freedom. The results show that imports of goods and services (% of GDP), government revenues, percentage of GDP, education index, and economic freedom are associated significantly with male total unemployment. Therefore the determinants of male total unemployment are imports of goods and services (% of GDP), government revenues, percentage of GDP, education index, and economic freedom. The results show that imports of goods and services (% of GDP), government revenues, percentage of GDP, trade percentage of GDP, employment in service, education index, and economic freedom are associated significantly with female total unemployment. Therefore the determinants of female total unemployment are Imports of goods and services (% of GDP), government revenues, percentage of GDP, trade percentage of GDP, employment in service, education index, and economic freedom. Moreover, the results show that GDP growth, imports of goods and services (% of GDP), government revenues, percentage of GDP, and economic freedom are associated significantly with total adult unemployment. Therefore the determinants of total adult unemployment are GDP growth, imports of goods and services (% of GDP), government revenues, percentage of GDP, and economic freedom. The results of the study show that imports of goods and services (% of GDP), education index, and economic freedom are associated significantly with male adult unemployment. Therefore the determinants of male adult unemployment are Imports of goods and services (% of GDP), education index, and economic freedom. The results of the study show that GDP growth, imports of goods and services (% of GDP), government revenues, percentage of GDP, trade percentage of GDP, education index, economic freedom are associated significantly with female adult unemployment. Therefore the determinants of female adult unemployment are GDP growth, imports of goods and services (% of GDP), government revenues, percentage of GDP, trade percentage of GDP, education index, and economic freedom. The results of the study show that GDP growth, imports of goods and services (% of GDP), government revenues, percentage of GDP, trade percentage of GDP, education index, economic freedom are associated significantly with female adult unemployment. Therefore the determinants of female adult unemployment are GDP growth, imports of goods and services (% of GDP), government revenues, percentage of GDP, trade percentage of GDP, education index, and economic freedom. The results showed that there is a significant negative relationship between LMR and male youth unemployment. In addition to that, the variables of LMR “hiring regulations and minimum wage, hiring and firing regulations, centralized collective bargaining, hours regulations, mandated cost of worker dismissal, and conscription” have a positive and significant impact on male youth unemployment. The results showed that there is a negative but not significant relationship between LMR and female youth unemployment. The variables of LMR “hiring regulations and minimum wage and centralized collective bargaining” have a positive and significant impact on female youth unemployment. The results showed that there is a significant negative relationship between LMR and total unemployment. More specifically, the variables of LMR “Hiring regulations and minimum wage, hour’s regulations, mandated cost of worker dismissal, and conscription” have a positive and significant impact on total unemployment. The results showed that there is a negative but not significant relationship between LMR and male total unemployment.