A framework for forecasting the components of the consumer price index: application to South Africa

Bibliographic Details
Main Authors: Aron, J, Muellbauer, J, Pretorius, C
Format: Working paper
Published: University of Oxford 2004
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author Aron, J
Muellbauer, J
Pretorius, C
author_facet Aron, J
Muellbauer, J
Pretorius, C
author_sort Aron, J
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spelling oxford-uuid:7936fc1a-1056-4027-ab30-0ab8aa9091952022-03-26T20:35:56ZA framework for forecasting the components of the consumer price index: application to South AfricaWorking paperhttp://purl.org/coar/resource_type/c_8042uuid:7936fc1a-1056-4027-ab30-0ab8aa909195Bulk import via SwordSymplectic ElementsUniversity of Oxford2004Aron, JMuellbauer, JPretorius, C
spellingShingle Aron, J
Muellbauer, J
Pretorius, C
A framework for forecasting the components of the consumer price index: application to South Africa
title A framework for forecasting the components of the consumer price index: application to South Africa
title_full A framework for forecasting the components of the consumer price index: application to South Africa
title_fullStr A framework for forecasting the components of the consumer price index: application to South Africa
title_full_unstemmed A framework for forecasting the components of the consumer price index: application to South Africa
title_short A framework for forecasting the components of the consumer price index: application to South Africa
title_sort framework for forecasting the components of the consumer price index application to south africa
work_keys_str_mv AT aronj aframeworkforforecastingthecomponentsoftheconsumerpriceindexapplicationtosouthafrica
AT muellbauerj aframeworkforforecastingthecomponentsoftheconsumerpriceindexapplicationtosouthafrica
AT pretoriusc aframeworkforforecastingthecomponentsoftheconsumerpriceindexapplicationtosouthafrica
AT aronj frameworkforforecastingthecomponentsoftheconsumerpriceindexapplicationtosouthafrica
AT muellbauerj frameworkforforecastingthecomponentsoftheconsumerpriceindexapplicationtosouthafrica
AT pretoriusc frameworkforforecastingthecomponentsoftheconsumerpriceindexapplicationtosouthafrica