Comparer des méthodes

	Regression Discontinuity Design pour Données de Panel	Modèle à effets fixes pour données de panel
Domaine	Inférence causale	Économétrie
Famille	Regression model	Regression model
Année d'origine	1960 (original RDD); panel extension codified 2000s–2010s	2014
Auteur d'origine	Thistlethwaite & Campbell (1960); panel extension developed through Lee & Lemieux (2010) and related applied work	Hsiao (textbook treatment); within transformation of panel data
Type	Causal inference / quasi-experimental	Panel data regression
Source fondatrice	Lee, D. S., & Lemieux, T. (2010). Regression Discontinuity Designs in Economics. Journal of Economic Literature, 48(2), 281-355.	Hsiao, C. (2014). Analysis of Panel Data (3rd ed.). Cambridge University Press.
Alias	Panel RD, Panel RDD, Longitudinal Regression Discontinuity, Fixed-Effects RDD	fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Apparentées	5	5
Résumé	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.	The Panel Data Fixed Effects model estimates relationships from panel data (the same units observed over several time periods) while controlling for unit- and/or time-specific effects, supporting causal inference. It is developed as the within estimator in standard treatments such as Hsiao's Analysis of Panel Data (2014).