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Differens-i-differens (DiD)×Granger kausalitetstest×
ÄmnesområdeEkonometriEkonometri
FamiljRegression modelRegression model
Ursprungsår19941969
UpphovspersonCard & Krueger (canonical 1994 application); Angrist & Pischke (textbook treatment)Clive W. J. Granger
TypCausal inference / panel regressionTime-series predictive causality test
UrsprungskällaAngrist, J. D., & Pischke, J.-S. (2009). Mostly Harmless Econometrics: An Empiricist's Companion. Princeton University Press. ISBN: 978-0691120355Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424-438. DOI ↗
Aliasdiff-in-diff, DiD, Farkların Farkı (Diff-in-Diff)Granger causality test, Granger non-causality test, predictive causality test, Granger Nedensellik Testi
Närliggande55
SammanfattningDifference-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.The Granger causality test, introduced by Clive W. J. Granger in 1969, assesses whether the past values of one time series help predict another beyond what the latter's own past already explains. It defines causality in a strictly predictive sense rather than as a structural or physical cause.
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ScholarGateJämför metoder: Difference-in-Differences · Granger Causality. Hämtad 2026-06-15 från https://scholargate.app/sv/compare