Construction of CPIX Data for Forecasting and Modelling in South Africa

J. Aron, J. Muellbauer
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引用次数: 20

Abstract

South Africa adopted inflation targeting in 2000, targeting the consumer price index (CPI) excluding mortgage interest cost (or CPIX), for “metropolitan and urban areas”. Yet there is no clear technical account of the methodology of construction of CPI and CPIX by Statistics South Africa, as published by reputable government statistical agencies in other countries. This paper has two goals. First, we aim to enhance transparency by explaining the CPI methodology (as we understand it), and to encourage publication of an official technical handbook. We also raise various technical issues concerning CPI construction. Second, we produce estimates of CPIX “metropolitan areas”) back to 1970, on a consistent methodology, using monthly price indices, the appropriate weights, and linking correctly when rebasing. While the CPIX (“metropolitan and urban areas”) measure only became relevant to monetary policy setting and wage contracts from 2000, and is published monthly only from 1997, a far longer time series is required for the forecasting and modelling exercises of the South African Reserve Bank (SARB), National Treasury and others. Our measure differs in some years from that published by Statistics South Africa (published monthly only back to 1994).
南非CPIX数据预测与建模的构建
南非在2000年采用了通货膨胀目标制,针对“大都市和城市地区”的消费者价格指数(CPI),不包括抵押贷款利息成本(或CPIX)。然而,南非统计局没有像其他国家知名政府统计机构发布的那样,对CPI和CPIX的构建方法进行明确的技术说明。本文有两个目的。首先,我们的目标是通过解释CPI方法(按照我们的理解)来提高透明度,并鼓励出版官方技术手册。提出了CPI建设中的各种技术问题。其次,我们根据一致的方法,使用月度价格指数,适当的权重,并在调整基准时正确链接,得出1970年以来的CPIX(大都市地区)估计。虽然CPIX(“大都市和城市地区”)指标从2000年起才与货币政策制定和工资合同相关,而且从1997年起才每月发布一次,但南非储备银行(SARB)、国家财政部和其他机构的预测和建模工作需要更长的时间序列。我们的衡量标准在某些年份与南非统计局公布的数据有所不同(1994年以来每月只公布一次)。
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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