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Working Draft — LGIT framework unpublished. Shared for feedback only. Please do not cite or distribute without permission.
Extending the HILDA × LGIT evidence layer for deeper analysis and broader impact
The current evidence layer demonstrates what's possible with publicly available HILDA data. The extensions below would significantly expand analytical capabilities and impact.
Apply for HILDA microdata access to enable individual-level regression, panel analysis, and causal inference studies.
Extend the evidence layer backward using earlier HILDA Statistical Reports to establish pre-GFC baseline and long-run trends.
Link HILDA evidence with Scanlon Mapping Social Cohesion data to connect individual wellbeing with social trust indicators.
Build automated ingestion pipeline for new HILDA releases and supplementary surveys to enable near-real-time tracking.
Benchmark Australian trajectories against comparable OECD panel surveys (SOEP, BHPS/UKHLS, PSID).
Translate LGIT findings into actionable policy briefs for government departments, NGOs, and research partners.
The LGIT evidence layer is designed to be extended. We welcome collaborations with researchers, policy analysts, and organizations interested in legitimacy measurement.