What is this? Curio-DID runs causal inference on Curio Cards NFT data using the
Difference-in-Differences method. For each event (marketplace listing, viral tweet, whale buy),
we estimate whether it caused a change in prices — not just correlation.
The model: Y = β₀ + β₁·Treatment + β₂·Post + β₃·(Treatment×Post) + ε
where β₃ is the causal treatment effect.
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