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Abstract

If data series are not filtered properly prior to the construction of a test of causality, the resulting test statistics are invalid This article,describes a general approach to data filtering based on the estimation of autoregressive-moving-average models and on specific tests for the Identification of white noise processes For selected examples, traditional approaches to filtering do not perform as well as the general method proposed

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