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Strukturel Brud Toda-Yamamoto Kausalitetstest

Den strukturelle brud Toda-Yamamoto kausalitetstest udvider den standard Toda-Yamamoto modificerede Wald (MWALD) procedure til at imødekomme et eller flere strukturelle brud i tidsserien. Ved først at identificere brudsdatoer og derefter inkludere dummy-variable i den augmenterede VAR, bevarer testen sin gyldige asymptotiske chi-i-anden fordeling uafhængigt af variablenes integrations- eller kointegrationsorden, selv i nærvær af regimeskift.

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Kilder

  1. Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. DOI: 10.1016/0304-4076(94)01616-8
  2. Zivot, E., & Andrews, D. W. K. (1992). Further evidence on the great crash, the oil-price shock, and the unit-root hypothesis. Journal of Business and Economic Statistics, 10(3), 251-270. DOI: 10.1080/07350015.1992.10509904

Sådan citerer du denne side

ScholarGate. (2026, June 3). Toda-Yamamoto Causality Test with Structural Breaks. ScholarGate. https://scholargate.app/da/econometrics/structural-break-toda-yamamoto-causality

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ScholarGateStructural Break Toda-Yamamoto Causality (Toda-Yamamoto Causality Test with Structural Breaks). Hentet 2026-06-15 fra https://scholargate.app/da/econometrics/structural-break-toda-yamamoto-causality · Datasæt: https://doi.org/10.5281/zenodo.20539026