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


  • Sukati, Mphumuzi


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.

Suggested Citation

  • Sukati, Mphumuzi, 2013. "Cointegration Analysis of Oil Prices and Consumer Price Index in South Africa using STATA Software," MPRA Paper 49797, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:49797

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    References listed on IDEAS

    1. 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.
    2. Browne, Frank & Cronin, David, 2010. "Commodity prices, money and inflation," Journal of Economics and Business, Elsevier, vol. 62(4), pages 331-345, July.
    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. Cologni, Alessandro & Manera, Matteo, 2008. "Oil prices, inflation and interest rates in a structural cointegrated VAR model for the G-7 countries," Energy Economics, Elsevier, vol. 30(3), pages 856-888, May.
    5. François Lescaroux & Valérie Mignon, 2008. "On the influence of oil prices on economic activity and other macroeconomic and financial variables ," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 32(4), pages 343-380, December.
    6. Granger, Clive W. J. & Swanson, Norman R., 1997. "An introduction to stochastic unit-root processes," Journal of Econometrics, Elsevier, vol. 80(1), pages 35-62, September.
    7. David F. Hendry & Katarina Juselius, 2001. "Explaining Cointegration Analysis: Part II," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 75-120.
    8. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    9. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
    10. 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.
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    More about this item


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

    JEL classification:

    • E51 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Money Supply; Credit; Money Multipliers
    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • E64 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Incomes Policy; Price Policy
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes

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