Comparar métodos

	Desenho de Regressão por Descontinuidade com Dados em Painel	Modelo de Efeitos Fixos para Dados em Painel
Área	Inferência causal	Econometria
Família	Regression model	Regression model
Ano de origem	1960 (original RDD); panel extension codified 2000s–2010s	2014
Autor original	Thistlethwaite & Campbell (1960); panel extension developed through Lee & Lemieux (2010) and related applied work	Hsiao (textbook treatment); within transformation of panel data
Tipo	Causal inference / quasi-experimental	Panel data regression
Fonte seminal	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.
Outros nomes	Panel RD, Panel RDD, Longitudinal Regression Discontinuity, Fixed-Effects RDD	fixed effects model, within estimator, panel fixed-effects regression, Panel Veri — Sabit Etkiler Modeli
Relacionados	5	5
Resumo	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).