Exploring The Forecasting Inflation in Kota Palu: An Application of the ARIMA Model

Muhammad Syahrul Mubarak
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引用次数: 0

Abstract

Inflation is an economic phenomenon that significantly impacts financial stability and the welfare of society. The movement of inflation in Kota Palu is challenging to explain using economic theories, as there are factors that are difficult to incorporate into models, such as the COVID-19 pandemic throughout 2020 to 2022, which impacted transportation, housing, and other services components. However, accurately predicting inflation rates remains a complex challenge. The objective of this study is to forecast the inflation movement for the year 2023. The data used in this analysis is the Consumer Price Index (CPI) of Kota Palu from January 2017 to March 2023, with 74 observations. ARIMA model with an Autoregressive (AR) model with lags six and nine was employed. The results of this study show that for the forecasted CPI or inflation from April 2023 to December 2023, the predicted CPI and inflation values closely approximate the actual CPI and inflation values. Therefore, the analysis can be considered accurate in predicting inflation movements.
探讨哥打帕卢的通货膨胀预测:ARIMA模型的应用
通货膨胀是一种严重影响金融稳定和社会福利的经济现象。哥打帕卢的通货膨胀走势很难用经济理论来解释,因为有一些因素很难纳入模型,比如2020年至2022年的COVID-19大流行,它影响了交通、住房和其他服务组成部分。然而,准确预测通胀率仍然是一项复杂的挑战。本研究的目的是预测2023年的通胀走势。本分析中使用的数据是2017年1月至2023年3月哥打帕卢的消费者价格指数(CPI),共有74个观察值。采用ARIMA模型和滞后6和滞后9的自回归(AR)模型。研究结果表明,对于2023年4月至2023年12月的预测CPI或通货膨胀,预测的CPI和通货膨胀值与实际CPI和通货膨胀值非常接近。因此,该分析在预测通胀走势方面可以被认为是准确的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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