Construction of CPIX Data for Forecasting and Modelling in South Africa
Janine Aron () and
John Muellbauer
Development and Comp Systems from University Library of Munich, Germany
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).
JEL-codes: E31 E4 (search for similar items in EconPapers)
Pages: 28 pages
Date: 2004-09-28
New Economics Papers: this item is included in nep-afr
Note: Type of Document - pdf; pages: 28
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Citations: View citations in EconPapers (14)
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https://econwpa.ub.uni-muenchen.de/econ-wp/dev/papers/0409/0409056.pdf (application/pdf)
Related works:
Journal Article: CONSTRUCTION OF CPIX DATA FOR FORECASTING AND MODELLING IN SOUTH AFRICA* (2004) 
Working Paper: Construction of CPIX Data for Forecasting and Modelling in South Africa (2004) 
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Persistent link: https://EconPapers.repec.org/RePEc:wpa:wuwpdc:0409056
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