参数与非参数方法的干预时间序列建模:多哥公司税的比较研究

Dodema Biteniwe, K. Gneyou
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摘要

时间序列经常受到外部事件(如罢工、新的财政措施或政策变化)引起的结构变化的影响。在本文中,我们对干预时间序列建模的参数和非参数方法进行了比较研究,以模拟2012年12月多哥重要的税制改革(成立多哥税务局)对公司税的影响。两种模型的比较使我们得出结论,非参数方法在预测质量和改革效果的测量方面都更优越。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intervention time series modeling with parametric and nonparametric approach: comparative study on Corporation tax in Togo
Time series are often subject to structural changes caused by external events such as strikes, new fiscal measures, or policy changes. In the current paper, we conduct a comparative study of a parametric and nonparametric approach to intervention time series modeling to model the impact, on corporate tax, of the important tax reform in December 2012 in Togo (the establishment of a Togolese Revenue Office).The comparison of the two models has led us to conclude that the non-parametric approach is superior in terms of predictive quality as well as the measurement of the effect of the reform.
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