用NARX重新分析欧盟公共债务危机

Tayfun Tuncay TOSUN
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摘要

本文采用公共债务运动规律方程对欧盟南部国家的公共债务进行了估算,该方程包含了代表一个国家竞争力的变量,如过去的公共债务、GDP、基本平衡、实际汇率、实际利率和通货膨胀。分析是用非线性自回归外生人工神经网络进行的,这是一种动态和稳健的统计方法,适用于后货币联盟时期,包括2005年第一季度至2021Q4之间的季度数据。分析结果表明,南欧国家的公共债务可以用公共债务运动规律方程稳健地解释,置信比超过95%。这一结果表明,欧盟南部国家的公共债务问题与这些国家的竞争力有关。此外,分析超越了将其与经济增长或公共债务估计中的几个变量相关的参数分析,揭示了公共债务运动规律方程中包含的包容性变量和非参数分析对解决问题的意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Re-Analysis of the EU Public Debt Crises with NARX
This paper estimates the public debt of Southern EU countries by adapting the public debt law of motion equation, which includes the variables that represent the competitiveness of a country such as past public debt, GDP, primary balance, real exchange rate, real interest, and inflation, to Southern EU countries. The analysis is performed with the Non-linear Autoregressive Exogenous Artificial Neural Network, which is a dynamic and robust statistical method for the post-monetary union period consisting of quarterly data between 2005Q1 and 2021Q4. The results of the analysis reveal that the public debt in the Southern EU countries is robustly explained by the public debt law of motion equation with a confidence ratio of over 95%. This result implies that the public debt problem in Southern EU countries is associated with the competitiveness of these countries. In addition, the analysis goes beyond parametric analyzes that relate it to economic growth or a few variables in the estimation of public debt and uncovers the significance of inclusive variables and non-parametric analyzes included in the public debt law of motion equation in solving the problem.
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