E-Learning on Actuarial Modeling for Social Protection Analysts

Social protection systems are designed to sustain income security and prevent poverty, and in most countries redistribute funds which are a significant portion of the national GDP. Efficient governance supported by sound quantitative studies can make a lasting difference to the long-term sustainability of these systems. Given the uncertainty of future events and the complex interrelated nature of pension systems, projection methods and models are crucial for empowering policy-makers in design and monitoring. The aim of this course was to enhance the capacity of participants to use projection methods, develop actuarial models and build their own country-specific model based on the generic model of the ILO. OBJECTIVES Through this training, participants should have acquired the knowledge to: • Increase your technical knowledge and expertise on social protection financing methods and actuarial modelling needed for the effective design, management and monitoring of social protection system; • Learn how modelling can be used to project future social protection expenditure and revenues; • Utilize knowledge on actuarial methodologies and models; • Understand better and participate more actively in the actuarial and financial planning of social protection systems. CONTENT • Social protection framework: the context of the actuarial work in social protection at the national and international level; • National projection: Demographic projection, labour force and employment projection and economic projection; • Scheme-specific projection: Social security data analysis, scheme-specific past experience review and assumptions, and modeling scheme-specific projections; • Validating and interpreting projection: Projection consistency and validation, interpretation of scheme-specific results and long-term sustainability and financing strategies. ACHIEVEMENT The course consisted of a number of online modules offered through the eCampus over a period of seven weeks for an estimated total of 100 learning hours. The assessment structure included the following elements: • Technical Forum (20%) • Assignments (30%) • Collaborative activities (10%) • Final presentation (20%) • Technical memo (20%)