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Inference for impulse response coefficients from multivariaten fractionally integrated processes

机译:多元分数积分过程的脉冲响应系数推断

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This article considers a multivariate system of fractionally integrated time series and investigates the most appropriate way for estimating Impulse Response (IR) coefficients and their associated confidence intervals. The article extends the univariate analysis recently provided by Baillie and Kapetanios (2013), and uses a semiparametric, time domain estimator, based on a vector autoregression (VAR) approximation. Results are also derived for the orthogonalized estimated IRs which are generally
机译:本文考虑了分数积分时间序列的多元系统,并研究了估算脉冲响应(IR)系数及其相关置信区间的最合适方法。本文扩展了Baillie和Kapetanios(2013)最近提供的单变量分析,并基于矢量自回归(VAR)近似使用了半参数时域估计器。还可以得出正交估计IR的结果,通常

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