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An Aggregate View of Macroeconomic Shocks in Sub-Saharan Africa: A Comparative Study Using Innovation Accounting


  • Coleman, Simeon


This paper investigates the impacts and responses of macroeconomic shocks in some domestic economies in Sub-Saharan Africa over the period 1961-99; more specifically, it seeks to answer the question of whether there are any systematic differences in the responses of the CFA franc zones and the non-CFA franc zone countries to macroeconomic shocks. Based on the Blanchard-Quah methodology, we identify shocks to the changes in real exchange rate and output using a structural VAR (SVAR) model for these small open economies. Our finding that the real exchange rate innovations in the CFA franc zones are largely independent of domestic variables suggests that external influence is more important in the CFA zones. There is also some evidence that money demand shocks are more significant in the non-CFA franc zone countries. Finally the analyses suggest that shocks tend to persist in the non-CFA countries and less so in the CFA franc zone. A comparison of both the short-run and long-run responses of each franc zone and the non-CFA countries suggests that being in the monetary union ensures that the CFA franc zone respond differently to macroeconomic shocks, and have more stable macroeconomies.

Suggested Citation

  • Coleman, Simeon, 2004. "An Aggregate View of Macroeconomic Shocks in Sub-Saharan Africa: A Comparative Study Using Innovation Accounting," WIDER Working Paper Series 009, World Institute for Development Economic Research (UNU-WIDER).
  • Handle: RePEc:unu:wpaper:rp2004-09

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    Cited by:

    1. Couharde, Cécile & Coulibaly, Issiaka & Guerreiro, David & Mignon, Valérie, 2013. "Revisiting the theory of optimum currency areas: Is the CFA franc zone sustainable?," Journal of Macroeconomics, Elsevier, vol. 38(PB), pages 428-441.
    2. Coulibaly, Issiaka & Gnimassoun, Blaise, 2013. "Optimality of a monetary union: New evidence from exchange rate misalignments in West Africa," Economic Modelling, Elsevier, vol. 32(C), pages 463-482.


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