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Multi-period Fuzzy Regression Discontinuity/Evidence
Method evidence record

Multi-period Fuzzy Regression Discontinuity

Multi-period fuzzy regression discontinuity design estimates a local average treatment effect when a cutoff rule only partially determines treatment — that is, crossing the threshold raises the probability of treatment but does not guarantee it — and when this assignment process is observed across two or more time periods or cohorts, enabling pooled or period-specific causal estimates under repeated near-threshold comparisons.

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Multi-period Fuzzy Regression Discontinuity Design
Taxonomic method record · regression-model / causal-inference
  • Hahn, J., Todd, P., & Van der Klaauw, W. (2001). Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design. Review of Economic Studies, 68(1), 201-209. · DOI 10.1111/1468-0262.00183
  • Cattaneo, M. D., Idrobo, N., & Titiunik, R. (2021). A Practical Introduction to Regression Discontinuity Designs: Extensions. Cambridge Elements in Quantitative and Computational Methods for the Social Sciences. Cambridge University Press. · URL
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Related methods

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Taxonomic bucketFuzzy Regression Discontinuitymachine-suggested · Relational suggestion, not evidence.See alsoInstrumental Variables in Health Researchmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-period Difference-in-differencesmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketPanel Data Regression Discontinuity Designmachine-suggested · Relational suggestion, not evidence.

Evidence status

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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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