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Wild-bootstrapped variance-ratio test for autocorrelation in the presence of heteroskedasticity

机译:在存在异方差的情况下进行自相关的自举方差比检验

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摘要

The Breusch-Godfrey LM test is one of the most popular tests for autocorrelation. However, it has been shown that the LM test may be erroneous when there exist heteroskedastic errors in a regression model. Recently, remedies have been proposed by Godfrey and Tremayne [9] and Shim et al. [21]. This paper suggests three wild-bootstrapped variance-ratio (WB-VR) tests for autocorrelation in the presence of heteroskedasticity. We show through a Monte Carlo simulation that our WB-VR tests have better small sample properties and are robust to the structure of heteroskedasticity.
机译:Breusch-Godfrey LM测试是自相关性最受欢迎的测试之一。但是,已经表明,当回归模型中存在异方差时,LM检验可能是错误的。最近,Godfrey和Tremayne [9]和Shim等人提出了补救措施。 [21]。本文建议在存在异方差的情况下进行自相关的三个自举方差比(WB-VR)测试。我们通过蒙特卡洛模拟显示,我们的WB-VR测试具有更好的小样本属性,并且对异方差结构具有鲁棒性。

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