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A deep learning approach to estimation of the Phillips curve in South Africa

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  • Gideon du Rand
  • Hylton Hollander
  • Dawie van Lill

Abstract

In this study, we provide a comprehensive estimation of the contemporary Phillips curve relationship in the South African economy using a novel deep learning technique. Our approach incorporates multiple measures of economic slack/tightness and inflation expectations, contributing to the debate on the relevance of the Phillips curve in South Africa, where previous findings have been inconclusive. Our analysis reveals that long-run inflation expectations are the primary driver of inflation, with these expectations anchored around 5% historically but declining since the financial crisis.

Suggested Citation

  • Gideon du Rand & Hylton Hollander & Dawie van Lill, 2023. "A deep learning approach to estimation of the Phillips curve in South Africa," WIDER Working Paper Series wp-2023-79, World Institute for Development Economic Research (UNU-WIDER).
  • Handle: RePEc:unu:wpaper:wp-2023-79
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    References listed on IDEAS

    as
    1. Byron Botha & Lauren Kuhn & Daan Steenkamp, 2020. "Is the Phillips curve framework still useful for understanding inflation dynamics in South Africa," Working Papers 10211, South African Reserve Bank.
    2. Monique B. Reid & Pierre L. Siklos, 2022. "How Firms and Experts View The Phillips Curve: Evidence from Individual and Aggregate Data from South Africa," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 58(12), pages 3355-3376, September.
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    Cited by:

    1. Keagile Lesame & Richard Kima, 2025. "Macroeconomic effects of lowering South Africa’s inflation target: An SVAR analysis," ERSA Working Paper Series, Economic Research Southern Africa, vol. 0.

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