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Kipimo cha Uhalisia wa Kimahesabu cha Toda-Yamamoto kisicho na Mstari

Kipimo cha uhalisia wa kimahesabu cha Toda-Yamamoto kisicho na mstari kinapanua utaratibu uliorekebishwa wa Wald wa Toda-Yamamoto (1995) ili kugundua uhusiano wa kisababishi ambao umefichwa katika wastani wa mfululizo lakini unajitokeza kupitia mienendo isiyo na mstari kama vile kutokuwa sawa, athari za kizingiti, au usambazaji wa tete. Kinarekebisha VAR iliyoongezwa kwenye mfululizo uliowekwa cheo au vinginevyo uliowekwa ramani kwa njia isiyo na mstari na kinatumia kipimo cha Wald cha chi-mraba kwenye mgawo wa ziada wa mchepeo.

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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. Sims, C. A., Stock, J. H., & Watson, M. W. (1990). Inference in linear time series models with some unit roots. Econometrica, 58(1), 113-144. DOI: 10.2307/2938337

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Nonlinear Toda-Yamamoto Granger Causality Test. ScholarGate. https://scholargate.app/sw/econometrics/nonlinear-toda-yamamoto-causality

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