Forecasting South African food inflation
Griessel, Günther Diederich
MetadataShow full item record
Since the sharp increase in food prices, both domestically and internationally, in 2008/2009 the need to forecast food inflation has become more and more prominent, especially in developing countries. This is because a higher percentage of household income is spent on food in these countries. Food inflation therefore, plays an important role in overall inflation in South Africa and ultimately affects monetary policy decisions. The primary objective of this study was to fit a multivariate model for the food component of the South African Consumer Price Index (CPI), so as to forecast food inflation in South Africa. Various models were identified but the Vector Autoregressive model was deemed suitable as per literature. A food inflation forecasting model was developed with CPI without the food component, nominal effective exchange rate, money supply, domestic food supply balance sheet, oil prices, producer price index, SARB repurchase rate and international food prices included as independent variables, as prescribed by literature reviewed. These data were entered at monthly intervals. Forecasting of data involves understanding the short run linkages between variables. This was captured by means of impulse response functions and forecast error variance decomposition. In the short run it was found that shocks in nominal effective exchange rate, gross domestic product and CPI without the food component explained the majority of variance in food inflation. To determine long run cointegrating relationships between the variables, Johansen cointegration testing was carried out. With the presence of cointegrating variables, a Vector Error Correction Model was constructed for forecasting purposes. Sample forecasts were then made and compared with actual data in order to determine current accuracy of the model in terms of deviation from currently available data at the time of writing. The model was then simply solved for two years ahead to produce a two year-ahead forecast of South African food inflation. The resulting forecasts yielded an expected food inflation index to reach 117.75 index points in a years’ time (May 2014 to May 2015) and 125.58 index points in two years’ time (May 2014 to May 2016). The need for construction of a more representative CPI for South Africa was identified, but is beyond the scope of this study.
Showing items related by title, author, creator and subject.
Community profile analysis of the Free State and the identification of the information infrastructure: a higher education community engagement project Ackerman, Doraliza Reinetta (University of the Free State, 2007-05)The overarching purpose of the study is: to compile a comprehensive database of the information infrastructures in the Free State province and investigate/determine how information from the database can be utilised by ...
Kruger, Hester Beatrix (University of the Free State, 2010-11)The transatlantic slave trade has been outlawed for more than 200 years. However, could it be that slavery still exists, but in a modern form, namely that of human trafficking for various exploitative purposes? Investigating ...
Koatla, Thabiso Andries Benedict (University of the Free State, 2012-04)English: Small-scale farming has always been heavily debated within the agricultural sector all over the world, and Qwaqwa farmers are no exceptions, because they are constantly faced by numerous challenges. Prior to the ...