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A robust test of exogeneity based on quantile regressions

机译:基于分位数回归的可靠的外生性检验

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摘要

In this paper, we propose a robust test of exogeneity. The test statistics is constructed from quantile regression estimators, which are robust to heavy tails of errors. We derive the asymptotic distribution of the test statistic under the null hypothesis of exogeneity at a given quantile. The finite sample properties of the test are investigated through Monte Carlo simulations that exhibit not only good size and power properties, but also good robustness to outliers.
机译:在本文中,我们提出了可靠的外生性检验。检验统计量是根据分位数回归估计量构造的,这些估计量对于错误的严重尾部具有鲁棒性。在给定的分位数下,我们在外生性的零假设下得出检验统计量的渐近分布。通过蒙特卡洛模拟研究了测试的有限样本属性,这些属性不仅表现出良好的尺寸和功效,而且对异常值具有良好的鲁棒性。

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