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Hatemi-J asymmetriske kausalitetstest

Hatemi-J asymmetriske kausalitetstest, introduceret af Abdulnasser Hatemi-J i 2012, udvider Granger-kausalitetsrammen til at tillade, at kausale relationer mellem positive og negative komponenter af integrerede tidsserier kan afvige. Ved at dekomponere hver serie i kumulative positive og negative delsummer og indlejre Toda-Yamamoto-tilgangen i en VAR, gør testen det muligt for forskere at skelne, om positive chok, negative chok eller begge driver kausalitet mellem økonomiske variabler.

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  1. Hatemi-J, A. (2012). Asymmetric causality tests with an application. Empirical Economics, 43(1), 447–456. DOI: 10.1007/s00181-011-0484-x

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ScholarGate. (2026, June 2). Hatemi-J Asymmetric Causality Test. ScholarGate. https://scholargate.app/da/econometrics/hatemi-j-asymmetric-causality

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ScholarGateHatemi-J Asymmetric Causality (Hatemi-J Asymmetric Causality Test). Hentet 2026-06-15 fra https://scholargate.app/da/econometrics/hatemi-j-asymmetric-causality · Datasæt: https://doi.org/10.5281/zenodo.20539026