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Alternative bootstrap procedures for testing cointegration in fractionally integrated processes

机译:在分数集成过程中测试协整的替代自举程序

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This paper considers alternative methods of testing cointegration in fractionally integrated processes, using the bootstrap. The investigation focuses on (a) choice of statistic, (b) use of bias correction techniques, and (c) designing the simulationof the null hypothesis. Three residual-based tests ate considered, two of the null hypothesis of non-cointegration, the third of the null hypothesis that cointegration exists. The tests are compared in Monte Carlo experiments to throw light on the relative roles of issues (a)-(c) in test performance.
机译:本文考虑使用引导程序在分数积分过程中测试协积分的替代方法。该调查的重点是(a)选择统计数据,(b)使用偏差校正技术,以及(c)设计原假设的模拟。我们考虑了三个基于残差的检验,其中两个是非协整的无效假设,第三个是存在协整的无效假设。在蒙特卡洛实验中对测试进行了比较,以阐明问题(a)-(c)在测试性能中的相对作用。

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