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Disseny de Discontinuïtat de Regressió Fuzzy amb Dades de Panell×Diferència en Diferències (Diff-in-Diff)×
CampInferència causalEconometria
FamíliaRegression modelRegression model
Any d'origen2001 (fuzzy RDD); panel extension circa 20111994
Autor originalHahn, Todd & Van der Klaauw; extended to panel settings by Papay, Willett & Murnane and othersCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)
TipusQuasi-experimental causal inferenceCausal inference / panel regression
Font seminalHahn, J., Todd, P., & Van der Klaauw, W. (2001). Identification and Estimation of Treatment Effects with a Regression-Discontinuity Design. Review of Economic Studies, 68(1), 201-209. DOI ↗Angrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355
ÀliesPanel Fuzzy RDD, Panel FRD, Fuzzy RD with Panel Data, Panel Fuzzy RDdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)
Relacionats55
ResumPanel Data Fuzzy Regression Discontinuity Design (Panel FRD) extends the fuzzy RDD framework to settings where multiple observations per unit are available over time. It exploits a probabilistic — rather than deterministic — threshold-crossing rule to identify a local average treatment effect (LATE) while controlling for unit-level and time-level fixed effects, sharpening identification in repeated-measures contexts.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.
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ScholarGateCompara mètodes: Panel Data Fuzzy Regression Discontinuity · Difference-in-Differences. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare