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Multi-period Regression Discontinuity Design/Evidence
Method evidence record

Multi-period Regression Discontinuity Design

Multi-period Regression Discontinuity Design extends the classic RDD to settings where a cutoff-based treatment is applied in multiple waves, across repeated time periods, or with varying thresholds. By pooling or comparing period-specific discontinuity estimates, researchers gain statistical precision and can examine how causal effects evolve or persist over time.

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

Multi-period Regression Discontinuity Design
Taxonomic method record · regression-model / causal-inference
  • Cattaneo, M. D., Idrobo, N., & Titiunik, R. (2020). A Practical Introduction to Regression Discontinuity Designs: Foundations. Cambridge University Press. · DOI 10.1017/9781108684606
  • Calonico, S., Cattaneo, M. D., & Titiunik, R. (2019). Regression Discontinuity Designs Using Covariates. Review of Economics and Statistics, 101(3), 442-451. · DOI 10.1162/rest_a_00760
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Related methods

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

Same method familyDifference-in-Differencesmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketFuzzy Regression Discontinuitymachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Data Regression Discontinuity Designmachine-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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