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Testing for cointegration using partially linear models

机译:使用部分线性模型测试协整

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A partially linear model of cointegration is developed where stationary covariates enter non-parametrically. We propose tests for cointegration using singular values of the estimated autore-gressive matrix. The tests are based on eigenvalues of standardized matrices and are relatively simple to compute. Asymptotic theory of the proposed test is developed. It is shown that the limiting distribution of the proposed test is similar to that of several tests in the recent literature. A Gamma approximationof the distribution is discussed to facilitate inference. Finite sample properties of the proposed procedure are illustrated in some limited Monte Carlo experiments. An empirical application to US macroeconomic time series is conducted to highlight theapproach.
机译:建立了协整的部分线性模型,其中平稳协变量非参数输入。我们建议使用估计的自回归矩阵的奇异值进行协整测试。这些测试基于标准化矩阵的特征值,并且计算相对简单。提出了该测试的渐近理论。结果表明,提出的测试的极限分布与最近文献中的几种测试的极限分布相似。讨论了分布的Gamma近似,以便于推理。在一些有限的蒙特卡洛实验中说明了所提出程序的有限样本性质。对美国宏观经济时间序列进行了实证研究,以突出该方法。

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