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Mtihani wa Kausi wa Granger Wenye Nguvu

Kausi wa Granger wenye nguvu unapanua mfumo wa kawaida wa kausi wa Granger kwa kutumia maadili muhimu yanayotokana na bootstrap au yanayostahimili uharibifu wa heteroscedasticity badala ya jedwali la chi-squared la asymptotic. Hii hufanya mtihani kuwa wa kuaminika katika sampuli ndogo na wakati data inaonyesha kutokuwa kwa kawaida, uharibifu wa heteroscedasticity, au karibu-kuunganishwa, mazingira ambayo mtihani wa kawaida wa F- au Wald-msingi unajulikana kukataa kupita kiasi.

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Vyanzo

  1. Hacker, R. S., & Hatemi-J, A. (2006). Tests for causality between integrated variables using asymptotic and bootstrap distributions: Theory and application. Applied Economics, 38(13), 1489–1500. DOI: 10.1080/00036840500405763
  2. Granger, C. W. J. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica, 37(3), 424–438. DOI: 10.2307/1912791

Jinsi ya kunukuu ukurasa huu

ScholarGate. (2026, June 3). Robust Granger Causality Test. ScholarGate. https://scholargate.app/sw/econometrics/robust-granger-causality

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ScholarGateRobust Granger Causality (Robust Granger Causality Test). Imepatikana 2026-06-15 kutoka https://scholargate.app/sw/econometrics/robust-granger-causality · Seti ya data: https://doi.org/10.5281/zenodo.20539026