Our project focuses on developing a structured, data-driven framework to measure financial resilience in Canadian households. Motivated by rising economic uncertainty and cost-of-living pressures, we operationalized “financial resilience” into measurable components such as liquidity, debt burden, income stability, and savings capacity. After cleaning and standardizing the data, we derived meaningful financial ratios and constructed a composite Financial Resilience Index to segment households into resilience tiers ranging from vulnerable to highly resilient. Throughout the process, we balanced statistical rigor with interpretability, addressing challenges such as multicollinearity and quantifying resilience in a way that remains policy-relevant. The final model not only identifies key predictors of financial vulnerability but also provides a scalable, transparent framework that can inform financial institutions, policymakers, and social organizations in designing targeted interventions.
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