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Empirical · Model class
Pooled data across countries or regions to learn from variation that a single time series cannot show on its own.
What this class is for
Use this class when one country is not enough -- when the question needs cross-country variation, fixed effects, or panel dynamics to be answerable.
Models in this class
Each model below has its own reference page with overview, graph, proof, and comparison material.
Pooled cross-country or cross-region regression with country and time fixed effects to net out unit-level and aggregate variation.
Best for: Cross-country macro questions where unobserved country-level differences would otherwise contaminate the estimate.
Vector autoregression estimated across a panel of countries or regions to study common dynamics and shock propagation.
Best for: Joint dynamics across many countries when a single-country VAR would be too small and a global VAR is too heavy.