Regression modelQuasi-experimental / causal inference

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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Sources

  1. Cattaneo, M. D., Idrobo, N., & Titiunik, R. (2020). A Practical Introduction to Regression Discontinuity Designs: Foundations. Cambridge University Press. DOI: 10.1017/9781108684606
  2. 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

Related methods

ScholarGateMulti-period Regression Discontinuity Design (Multi-period Regression Discontinuity Design). Retrieved 2026-06-04 from https://scholargate.app/en/causal-inference/multi-period-regression-discontinuity-design