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An Out of Sample Test for Granger Causality [PDF]
Granger (1980) summarizes his personal viewpoint on testing for causality, and outlines what he considers to be a useful operational version of his original definition of causality (Granger (1969)), which he notes was partially alluded to in Wiener (1958).
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Asymptotics for out of sample tests of Granger causality
Journal of Econometrics, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Testing Granger Causality in the presence of threshold effects
International Journal of Forecasting, 2006Abstract This paper proposes a Granger Causality test allowing for threshold effects. The proposed test can be conducted on the basis of the threshold autoregressive distributed lag model or the augmented logistic smooth transition autoregressive model. The proposed test is applied to the U.S.
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Testing for Granger causality using a partial coherence statistic
Signal Processing, 2023Louis Scharf, Yuan Wang 0048
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Transfer Function Modeling and Granger Causality Testing
2012In this chapter we fit univariate and bivariate time series models in the tradition of Box and Jenkins (1976) and Granger and Newbold (1977) and apply traditional Granger causality testing following the Ashley et al. (1980) methodology. Second, we estimate Vector Autoregressive Models (VAR) and Chen and Lee (1990) Vector ARMA (VARMA) causality test. We
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A Kernel Test of Nonlinear Granger Causality
2008We present a novel test of nonlinear Granger causality in bivariate time series. The trace norm of conditional covariance operators is used to capture the prediction errors. Based on this measure, a subsampling-based multiple testing procedure tests the prediction improvement of one time series by the other one.
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A Procedure for Testing Granger Causality of Infinite Order
International Journal of Business and Economics, 2011None
Fathali Firoozi, Donald Lien
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Variable-lag Granger Causality and Transfer Entropy for Time Series Analysis
ACM Transactions on Knowledge Discovery From Data, 2021Tanya Y Berger-Wolf +2 more
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