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Event Study Design/Evidence
Method evidence record

Event Study Design

The event study design is a generalised difference-in-differences model that estimates a separate treatment-effect coefficient for each period before and after an intervention, tracing the dynamics of the effect over event time. Its modern, heterogeneity-robust form was developed by Sun & Abraham (2021) and Callaway & Sant'Anna (2021).

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Event Study Design (Causal Event Study)
Taxonomic method record · regression-model / causal-inference
  • Sun, L. & Abraham, S. (2021). Estimating Dynamic Treatment Effects in Event Studies with Heterogeneous Treatment Effects. Journal of Econometrics, 225(2), 175–199. · DOI 10.1016/j.jeconom.2020.09.006
  • Callaway, B. & Sant'Anna, P. H. C. (2021). Difference-in-Differences with Multiple Time Periods. Journal of Econometrics, 225(2), 200–230. · DOI 10.1016/j.jeconom.2020.12.001
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Curated claims

Claims persisted in the evidence ledger, each with its own assessment.

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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Same method familyInterrupted Time Seriesmachine-suggested · Relational suggestion, not evidence.Same method familyPanel Fixed Effectsmachine-suggested · Relational suggestion, not evidence.Same method familyRegression Discontinuitymachine-suggested · Relational suggestion, not evidence.Same method familyShift-Share IVmachine-suggested · Relational suggestion, not evidence.Same method familyStaggered Difference-in-Differencesmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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