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Causality links between consumer and producer price inflation in South Africa

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  • Zerihun Gudeta Alemu

Abstract

This study investigates causal relationships between consumer and producer inflation. In so doing, it makes the following contributions to the literature. First, the methodology allows causality testing within a bivariate system, with other important variables included in the system. Second, the analysis is based on a model chosen out of three other competing models. The models consider the possibility of both symmetric and asymmetric responses to demand and supply shock inflationary situations. This approach differs from the traditional Engle--Granger (EG) approach, which implicitly assumes symmetric adjustment towards equilibrium (Enders and Siklos, 2001). Third, causality testing is conducted within an error correction framework to handle possible inferential biases resulting from invalid asymptotic critical values. The chosen model was used to conduct short- and long-run causality tests within a framework that takes into account differentiated responses to changes in inflation regimes. The following are major findings of this study: There exists dynamic relationship between producer and consumer prices, characterized by unidirectional causality running from producer to consumer inflation. On the issue of asymmetric responses, it is found that consumer inflation reacts differently to positive and negative trends in producer inflation. In other words, consumer price rises faster than it falls.

Suggested Citation

  • Zerihun Gudeta Alemu, 2012. "Causality links between consumer and producer price inflation in South Africa," Applied Economics Letters, Taylor & Francis Journals, vol. 19(1), pages 13-18, January.
  • Handle: RePEc:taf:apeclt:v:19:y:2012:i:1:p:13-18
    DOI: 10.1080/13504851.2011.564127
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    References listed on IDEAS

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    6. Guglielmo Maria Caporale & Margarita Katsimi & Nikitas Pittis, 2002. "Causality Links between Consumer and Producer Prices: Some Empirical Evidence," Southern Economic Journal, John Wiley & Sons, vol. 68(3), pages 703-711, January.
    7. Willie Belton & Usha Nair-Reichert, 2007. "Inflation regimes, core inflation measures and the relationship between producer and consumer price inflation," Applied Economics, Taylor & Francis Journals, vol. 39(10), pages 1295-1305.
    8. Hall, Stephen G & Milne, Alistair, 1994. "The Relevance of P-Star Analysis to UK Monetary Policy," Economic Journal, Royal Economic Society, vol. 104(424), pages 597-604, May.
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    Cited by:

    1. Kai-Yin Woo & Shu-Kam Lee & Cho-Yiu Joe Ng, 2018. "An Investigation Into The Dynamic Relationship Between Cpi And Ppi: Evidence From The Uk, France And Germany," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 64(05), pages 1081-1100, July.
    2. Mohd, Rafede & Masih, Mansur, 2018. "Testing the asymmetric and lead-lag relationship between CPI and PPI: an application of the ARDL and NARDL approaches," MPRA Paper 112500, University Library of Munich, Germany.
    3. Jing Sun & Jinhui Xu & Xin Cheng & Jichao Miao & Hairong Mu, 2023. "Dynamic causality between PPI and CPI in China: A rolling window bootstrap approach," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1279-1289, April.
    4. Athanassios Petralias & Pródromos Prodromídis, 2015. "Price discovery under crisis: uncovering the determinant factors of prices using efficient Bayesian model selection methods," Empirical Economics, Springer, vol. 49(3), pages 859-879, November.
    5. Ogundeji, A. & Mare, F.A., 2018. "Price Transmission in the Beef Value Chain – The Case of Bloemfontein, South Africa," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275930, International Association of Agricultural Economists.

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