Microsimulation & Distributional Analysis
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Microsimulation & Distributional Analysis
Aggregate policy outcomes hide more than they reveal. This research programme applies tax and transfer policy rules to representative individual-level data — using Statistics Canada's SPSD/M, the T1 Family File, the Longitudinal Administrative Databank, and the Canadian Tax and Credit Simulator — to reveal who gains, who loses, and by how much when policy changes. The approach generates granular distributional pictures of policy impact across income groups, family types, and regions before reforms are implemented, directly informing evidence-based policy design.
This work covers much of the same analytical ground as the Parliamentary Budget Office — costing tax and transfer reforms, modelling benefit interactions, and evaluating fiscal impacts of policy proposals — but with distributional analysis built in by default, not treated as optional. Where the PBO typically leads with aggregate fiscal cost, this research leads with who bears that cost and who receives those benefits, disaggregated by income, family type, region, and other axes of difference. The result is policy analysis that is both fiscally rigorous and equity-centred.
Selected outputs
Journal
Who Benefits?: A Critical Analysis of Canada's Federal Basic Personal Amount and Personal Tax Credits
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Journal
A Basic Income for Nunavut: Addressing Poverty in Canada's North
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Working Paper
Systematic Barriers to Justice: Financial Eligibility for Legal Aid — A Gendered Analysis
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