The project aims to assess the predictive validity of Manitoba’s new Employment and Training Assessment tool. As well, it assesses the extent to which adding additional information improves the overall accuracy of the model in predicting long-term unemployment and the extent to which a “scoring” method could be designed that identifies “tiers” or segmentation points, that categorize jobseekers into “categories of risk” or “levels of need” using what has been referred to as a “distance to the labour market approach.” Given the results of the analyses, the project will recommend an optimal approach to needs assessment and jobseeker classification in the Manitoba context.
Published: November 2013
Capability: Data Sciences - Program Evaluation/ Performance Measurement
Policy Area: Employment - Employment Supports and Services - Employment Programs
Population: Low-income Populations - Low-skilled Workers - Social Assistance Recipients - EI Recipients
This initiative is testing the effectiveness of a Pay-for-Performance (PFP) funding model in encouraging small and medium-sized enterprises (SMEs) to increase their investment in…
Read MoreSince 2020, the Future Skills Centre (FSC) has supported the development, refinement, or expansion of approaches to developing skills for workers from a variety…
Read MoreSkillPlan, BC Construction Industry Skills Improvement Council, in partnership with Canada’s Building Trades Unions (CBTU), Provincial Building Trades Councils (PBTC), U7 SOLUTIONS, British Columbia…
Read More