我们拒绝限制识别财政冲击吗?基于非高斯创新的识别

Madina Karamysheva, A. Skrobotov
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引用次数: 3

摘要

本文研究了基于误差非高斯假设的财政冲击识别问题,该方法易于检验。我们在ab模型的GMM估计中使用附加的共峰度条件来估计财政冲击的动态影响,并找到美国经济中的财政乘数。相对于Blanchard and Perotti(2002)和Leeper, Walker, and Yang(2013),我们的方法得出了更高的平均税收乘数。在Blanchard和Perotti 2002模型中,我们对这些限制进行了测试,并不能拒绝它们。一旦我们控制了财政预见性,我们就可以拒绝单独或共同的限制。最后,将税收收入对产出的弹性与文献中发现的弹性进行比较,拒绝其中的大多数,我们无法拒绝Caldara和Kamps 2017的弹性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Do We Reject Restrictions Identifying Fiscal Shocks? Identification Based on non-Gaussian Innovations
This paper is devoted to fiscal shock identification based on the assumption of nonGaussianity of the errors, which can be easily tested. We use additional co-kurtosis conditions in GMM estimation of the AB-model to estimate the dynamic effects of fiscal shocks and find fiscal multipliers in the U.S. economy. Our approach results in higher tax multipliers on average relative to Blanchard and Perotti 2002 and Leeper, Walker, and Yang 2013. Testing the restrictions, we are not able to reject them in Blanchard and Perotti 2002 model. Once we control for fiscal foresight, we can reject restrictions both individually and all together. Finally, comparing elasticities of tax revenue to output to elasticities found in the literature, rejecting most of them, we are not able to reject the one of Caldara and Kamps 2017.
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