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Testing for Granger causality between industrial output and CPI in the presence of regime shift Swedish data

机译:在存在瑞典政权转移的情况下测试工业产出与CPI之间的格兰杰因果关系

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In this paper, we focus on the Granger causality test in the presence of regime shift. We apply a vector autoregressive (4) model on Swedish series of industrial output and consumer price index for the period 1980:1-1998:6. To test for causality, three different test methods namely the single equation Likelihood Ratio test, the systemwise Rao's F- test and the Bootstrap test, have been used in this study. We show that when the assumption of parameter constancy is violated, due to the occurrence of the structural changes, Granger causality tests can provide misleading inference about the underlining relationship of causality.
机译:在本文中,我们将重点放在存在政权转移的格兰杰因果关系检验上。我们对瑞典1980:1-1998:6期间的工业产出和消费者价格指数系列应用矢量自回归(4)模型。为了检验因果关系,本研究使用了三种不同的检验方法,即单方程似然比检验,系统性Rao F检验和Bootstrap检验。我们表明,当违反参数恒定性假设时,由于结构变化的发生,Granger因果关系检验可以提供有关因果关系的强调关系的误导性推断。

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