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• W2023286198 abstract "This paper provides an approach to testing a variety of causal characteristics expressed in terms of the measures of one-way effect for cointegrated vector time series. For this purpose, we propose Wald tests and their computational algorithm by means of the measures of one-way effect, incorporating Johansen's algorithm for the maximum likelihood estimates and the likelihood ratio tests. Using the Wald test statistics, the paper also provides a method of confidence-set construction for the causal measures. The approach proposed in the paper includes testing Granger's non-causality as an instance of its multiple applications. As an illustration, the paper presents a characterization of the causal structure of the recent Japanese macroeconomy on the basis of the proposed method and the derived evidence." @default.
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• W2023286198 date "2000-10-01" @default.
• W2023286198 modified "2023-10-16" @default.
• W2023286198 title "Inference on one-way effect and evidence in Japanese macroeconomic data" @default.
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• W2023286198 doi "https://doi.org/10.1016/s0304-4076(99)00084-6" @default.
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