了解加拿大消费者价格指数的动态

Thabani Nyoni
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引用次数: 0

摘要

本研究使用1960年至2017年加拿大消费者价格指数(CPI)的年度时间序列数据,使用Box - Jenkins ARIMA技术对CPI进行建模和预测。诊断测试表明C系列是I(1)。本研究提出了ARIMA(1,1,1)模型来预测加拿大的CPI。诊断试验进一步证明了所提出的简约模型是稳定的。研究结果显然表明,加拿大的CPI很可能在未来十年继续急剧上升。该研究鼓励决策者利用紧缩的货币和财政政策措施来控制加拿大的通货膨胀。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
UNDERSTANDING CONSUMER PRICE INDEX DYNAMICS IN CANADA
This research uses annual time series data on Consumer Price Index (CPI) in Canada from 1960 to 2017, to model and forecast CPI using the Box – Jenkins ARIMA technique. Diagnostic tests indicate that the C series is I (1). The study presents the ARIMA (1, 1, 1) model for predicting CPI in Canada. The diagnostic tests further show that the presented parsimonious model is stable. The results of the study apparently show that CPI in Canada is likely to continue on a sharp upwards trajectory in the next decade. The study encourages policy makers to make use of tight monetary and fiscal policy measures in order to control inflation in Canada.
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