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Cointegration Analysis of Oil Prices and Consumer Price Index in South Africa using STATA Software

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  • Sukati, Mphumuzi

Abstract

This paper investigates the concept of vector autoregression (VAR) and cointegration using a bivariate model of global oil prices and headline Consumer Price Index (CPI) in South Africa. The study aims to determine how much of inflation is driven by oil prices. Particular attention is paid to the theoretical underpinnings of cointergration analysis and the application of STATA software to undertake such analysis and perform test statistics. Contrary to the popular myth that a rise in global oil prices fuels inflation, this study has observed that global oil prices are not the drivers of inflation in South Africa. In this way, other macroeconomic indicators and policy developments need to be integrated in analyzing the determinants of South African inflation.

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Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 49797.

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Date of creation: 13 Sep 2013
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Handle: RePEc:pra:mprapa:49797

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Keywords: Consumer Price Index; Oil Prices; Vector Autoregression; Cointegration; STATA Software; South Africa;

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  1. Browne, Frank & Cronin, David, 2010. "Commodity prices, money and inflation," Journal of Economics and Business, Elsevier, vol. 62(4), pages 331-345, July.
  2. Granger, E.J. & Swanson, N.R., 1996. "An introduction to stochastic Unit Root Processes," Papers 4-96-3, Pennsylvania State - Department of Economics.
  3. LeBlanc, Michael & Chinn, Menzie David, 2004. "Do High Oil Prices Presage Inflation? The Evidence from G-5 Countries," Santa Cruz Department of Economics, Working Paper Series qt4wt4m7hg, Department of Economics, UC Santa Cruz.
  4. Matteo Manera & Alessandro Cologni, 2005. "Oil Prices, Inflation and Interest Rates in a Structural Cointegrated VAR Model for the G-7 Countries," Working Papers 2005.101, Fondazione Eni Enrico Mattei.
  5. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  6. Cunado, J. & Perez de Gracia, F., 2005. "Oil prices, economic activity and inflation: evidence for some Asian countries," The Quarterly Review of Economics and Finance, Elsevier, vol. 45(1), pages 65-83, February.
  7. Johansen, Søren & Juselius, Katarina, 1992. "Testing structural hypotheses in a multivariate cointegration analysis of the PPP and the UIP for UK," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 211-244.
  8. David F. Hendry & Katarina Juselius, 2000. "Explaining Cointegration Analysis: Part 1," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 1-42.
  9. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, Econometric Society, vol. 59(6), pages 1551-80, November.
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