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Kipimo cha Utafiti wa Kiasababishi cha Toda-Yamamoto

Kipimo cha utafiti wa Kiasababishi cha Toda-Yamamoto (TY) ni utaratibu uliorekebishwa wa Wald kwa ajili ya kupima uhusiano wa Kiasababishi cha Granger katika uamuzi wa nyuma wa data (VARs) uliokadiriwa katika viwango, hata pale ambapo vigezo havina utulivu au vimeunganishwa. Kwa kizembe kuongeza VAR na viwango vya ziada sawa na mpangilio wa juu zaidi wa ujumuishi, kinarejesha usambazaji wa kawaida wa chi-squared wa takwimu za Wald bila kuhitaji upimaji wa awali wa mizizi ya umoja au muunganisho.

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Vyanzo

  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. Dolado, J. J., & Lütkepohl, H. (1996). Making Wald tests work for cointegrated VAR systems. Econometric Reviews, 15(4), 369-386. DOI: 10.1080/07474939608800362

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Toda-Yamamoto Modified Wald Causality Test. ScholarGate. https://scholargate.app/sw/econometrics/toda-yamamoto-causality-test

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Imerejelewa na

ScholarGateToda-Yamamoto causality test (Toda-Yamamoto Modified Wald Causality Test). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/toda-yamamoto-causality-test · Seti ya data: https://doi.org/10.5281/zenodo.20539026