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	Panel Data Regression Discontinuity Design	Metoda różnic w różnicach (Diff-in-Diff)
Dziedzina	Wnioskowanie przyczynowe	Ekonometria
Rodzina	Regression model	Regression model
Rok powstania	1960 (original RDD); panel extension codified 2000s–2010s	1994
Twórca	Thistlethwaite & Campbell (1960); panel extension developed through Lee & Lemieux (2010) and related applied work	Card & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
Typ	Causal inference / quasi-experimental	Causal inference / panel regression
Źródło pierwotne	Lee, D. S., & Lemieux, T. (2010). Regression Discontinuity Designs in Economics. Journal of Economic Literature, 48(2), 281-355.	Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
Inne nazwy	Panel RD, Panel RDD, Longitudinal Regression Discontinuity, Fixed-Effects RDD	diff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Pokrewne	5	5
Podsumowanie	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.	Difference-in-Differences is a causal-inference method that estimates the effect of an intervention by comparing how a treatment group and a control group change over time. Made famous by Card and Krueger's 1994 minimum-wage study and developed in Angrist and Pischke's Mostly Harmless Econometrics, it isolates the treatment effect as the difference between the two groups' before-after changes.