Krahasoni metodat

	Testi i kauzalitetit Toda-Yamamoto	Testi i kauzalitetit të Granger
Fusha	Ekonometri	Ekonometri
Familja	Regression model	Regression model
Viti i origjinës	1995	1969
Krijuesi	Toda, H. Y. and Yamamoto, T.	Clive W. J. Granger
Lloji	Causality test	Causality test (F-test on VAR)
Burimi themelues	Toda, H. Y., & Yamamoto, T. (1995). Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics, 66(1-2), 225-250.	Granger, C. W. J. (1969). Investigating Causal Relations by Econometric Models and Cross-spectral Methods. Econometrica, 37(3), 424–438.
Emërtime të tjera	Toda-Yamamoto test, TY causality test, modified Wald test for Granger causality, TY-MWALD	Granger test, GC test, predictive causality test, Granger non-causality test
Të lidhura	5	5
Përmbledhja	The Toda-Yamamoto (TY) causality test is a modified Wald procedure for testing Granger causality in vector autoregressions (VARs) estimated in levels, even when variables are nonstationary or cointegrated. By intentionally over-fitting the VAR with extra lags equal to the maximum integration order, it restores the standard chi-squared asymptotic distribution of the Wald statistic without requiring prior unit-root or cointegration pretesting.	The Granger causality test is a statistical hypothesis test that determines whether past values of one time series help predict future values of another, beyond what that series' own past already explains. Introduced by Clive Granger in 1969, it is the standard approach for assessing predictive causality in VAR-based time-series analysis.