Regression modelQuasi-experimental / causal inference

Panel Data Fuzzy Regression Discontinuity Design

Panel Data Fuzzy Regression Discontinuity Design (Panel FRD) extends the fuzzy RDD framework to settings where multiple observations per unit are available over time. It exploits a probabilistic — rather than deterministic — threshold-crossing rule to identify a local average treatment effect (LATE) while controlling for unit-level and time-level fixed effects, sharpening identification in repeated-measures contexts.

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Sources

  1. 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: 10.1111/1467-937X.00141
  2. Lee, D. S., & Lemieux, T. (2010). Regression Discontinuity Designs in Economics. Journal of Economic Literature, 48(2), 281-355. DOI: 10.1257/jel.48.2.281

Related methods

ScholarGatePanel Data Fuzzy Regression Discontinuity (Panel Data Fuzzy Regression Discontinuity Design). Retrieved 2026-06-04 from https://scholargate.app/en/causal-inference/panel-data-fuzzy-regression-discontinuity