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: Program Evaluation/ Performance Measurement - Data Sciences
Policy Area: Employment - Employment Supports and Services - Employment Programs
Population: Low-income Populations - Low-skilled Workers - Social Assistance Recipients - EI Recipients