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Granger kauzalita so štrukturálnymi zlomami×Vektorová autoregresia (VAR)×
OdborEkonometriaEkonometria
RodinaRegression modelRegression model
Rok vzniku1995-20101980
TvorcaGranger (1969) causality framework extended by Toda & Yamamoto (1995) and Balcilar et al. (2010)Christopher A. Sims
TypHypothesis test / time-series modelMultivariate time-series model
Pôvodný zdrojToda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. DOI ↗Sims, C. A. (1980). Macroeconomics and Reality. Econometrica, 48(1), 1–48. DOI ↗
Ďalšie názvybreak-robust Granger causality, Granger causality under regime change, time-varying Granger causality, structural change Granger testVAR, VAR model, vector autoregressive model, multivariate autoregression
Príbuzné35
ZhrnutieStructural break Granger causality extends the classic Granger causality framework to accommodate regime shifts and parameter instability in time series. By detecting break points and testing causality within sub-samples or via rolling/recursive windows, it reveals whether a predictive relationship between variables switches on, switches off, or changes direction over time.Vector Autoregression is a multivariate time-series model in which each variable is regressed on its own lags and the lags of all other variables in the system. Originally proposed by Sims (1980) as a data-driven alternative to large structural macroeconomic models, VAR has become the standard workhorse for dynamic analysis in empirical economics and finance.
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ScholarGatePorovnať metódy: Structural Break Granger Causality · Vector Autoregression. Získané 2026-06-17 z https://scholargate.app/sk/compare