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	बहु-अवधि प्रतिगमन विच्छिन्नता डिज़ाइन	पैनल डेटा रिग्रेशन डिसकंटीन्यूइटी डिज़ाइन
क्षेत्र	कारणात्मक अनुमान	कारणात्मक अनुमान
परिवार	Regression model	Regression model
उद्भव वर्ष	2010s–2020s	1960 (original RDD); panel extension codified 2000s–2010s
प्रवर्तक	Cattaneo, Idrobo & Titiunik (foundations); extended by multiple authors for repeated-period settings	Thistlethwaite & Campbell (1960); panel extension developed through Lee & Lemieux (2010) and related applied work
प्रकार	Quasi-experimental causal inference	Causal inference / quasi-experimental
मौलिक स्रोत	Cattaneo, M. D., Idrobo, N., & Titiunik, R. (2020). A Practical Introduction to Regression Discontinuity Designs: Foundations. Cambridge University Press.	Lee, D. S., & Lemieux, T. (2010). Regression Discontinuity Designs in Economics. Journal of Economic Literature, 48(2), 281-355.
उपनाम	multi-wave RD, repeated RDD, dynamic RD, multi-cutoff RDD	Panel RD, Panel RDD, Longitudinal Regression Discontinuity, Fixed-Effects RDD
संबंधित	3	5
सारांश	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.	Panel data regression discontinuity design (Panel RDD) combines the sharp local identification of a regression discontinuity with the within-unit variation available in repeated-observation panel data. Units are observed across multiple periods, and treatment is assigned based on whether a running variable crosses a known threshold. By leveraging both the discontinuity and panel structure, researchers can control for unobserved unit-level heterogeneity while estimating a causal treatment effect near the threshold.