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Time-varying asymmetric error correction mechanism: An application to the relationship between the oil price and economic activity

机译:时变非对称误差校正机制:在油价与经济活动关系中的应用

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This study introduces a cointegration test based on an asymmetric exponential smooth transition autoregressive (AESTAR) error correction model (ECM). The proposed model based on the unit root test by Sollis (2009) employs a wild bootstrap to test for cointegration. The test has time-varying and asymmetric adjustments and is robust to heteroskedastic variances such as stochastic volatility. A Monte Carlo simulation provides evidence that the proposed test has appropriate sizes and sufficient power under stochastic volatility. The model is applied to the relationship between the oil price and economic activity, demonstrating that the proposed test supports the presence of the error correction term. This contrasts with conventional tests, which do not support this term. The empirical results indicate the usefulness of the proposed test.
机译:本研究介绍了一种基于非对称指数平滑过渡自回归(AESTAR)纠错模型(ECM)的协整检验。所提出的模型基于Sollis(2009)的单位根检验,采用了野生自举来测试协整。该测试具有时变和不对称调整,并且对异方差方差(例如随机波动率)具有鲁棒性。蒙特卡洛模拟提供了证据,证明所提出的测试在随机波动下具有适当的大小和足够的功效。该模型应用于油价与经济活动之间的关系,表明所提出的测试支持误差校正项的存在。这与不支持该术语的常规测试形成对比。实验结果表明了所提出的测试的有效性。

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