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Panelowy test przyczynowości Toda-Yamamoto×Test kointegracji Panel Johansen×
DziedzinaEkonometriaEkonometria
RodzinaRegression modelRegression model
Rok powstania1995 (panel extension from 2006)2001
TwórcaToda & Yamamoto (1995); extended to panel settings by Konya (2006) and othersLarsson, Lyhagen & Lothgren (building on Johansen 1988/1991)
TypCausality test (non-causality hypothesis)Panel cointegration test
Źródło pierwotneToda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250. DOI ↗Larsson, R., Lyhagen, J., & Lothgren, M. (2001). Likelihood-based cointegration tests in heterogeneous panels. Econometrics Journal, 4(1), 109–142. DOI ↗
Inne nazwyPanel TY causality test, Toda-Yamamoto panel causality, panel modified Wald causality test, panel MWALD causalitypanel Johansen test, Larsson-Lyhagen-Lothgren test, LLL panel cointegration, panel trace test
Pokrewne55
PodsumowanieThe Panel Toda-Yamamoto (PTY) causality test extends the Toda-Yamamoto modified Wald approach to panel data, allowing researchers to test Granger non-causality across multiple cross-sectional units without requiring pre-testing for cointegration or imposing a common causality direction on all units.The Panel Johansen cointegration test extends Johansen's maximum-likelihood framework to panel data, allowing researchers to test whether multiple non-stationary variables share long-run equilibrium relationships across cross-sectional units. It pools the likelihood-ratio statistics from individual Johansen tests and compares the standardised average against a standard normal distribution, yielding greater power than single-country approaches.
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ScholarGatePorównaj metody: Panel Toda-Yamamoto Causality · Panel Johansen Cointegration. Pobrano 2026-06-19 z https://scholargate.app/pl/compare