Modeling Consumer Price Index in Zambia: A Comparative Study between Multicointegration and Arima Approach

作     者：Stanley Jere Alick Banda Rodgers Chilyabanyama Edwin Moyo 

作者机构：Department of Mathematics and Statistics Mulungushi University Kabwe Zambia Department of Mathematics and Statistics Northrise University Ndola Zambia 

出 版 物：《Open Journal of Statistics》 (统计学期刊（英文）)

年 卷 期：2019年第9卷第2期

页      面：245-257页

学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学] 

主　　题：Consumer Price Index Multicointegration ARIMA ECM Forecast 

摘      要：Consumer Price Index (CPI) is an important indicator used to determine inflation. The main objective of this research was to compare the forecasting ability of two time-series models using Zambia Monthly Consumer Price Index. We used monthly CPI data which were collected from January 2003 to December 2017. The models that were compared are the Autoregressive Integrated Moving average (ARIMA) model and Multicointegration (ECM) model. Results show that the ECM was the best fit model of CPI in Zambia since it showed smallest errors measures. Lastly, a forecast was done using the ECM and results show an average growth rate for food CPI at 6.63% and an average growth rate for nonfood CPI at 7.41%. Forecasting CPI is an important factor for any economy because it is essential in economic planning for the future. Hence, identifying a more accurate forecasting model is a major contribution to the development of Zambia.