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Forecasting inflation in a small open developing economy

Author

Listed:
  • Ashwin Madhou
  • Tayushma Sewak
  • Imad Moosa
  • Vikash Ramiah

Abstract

The transition to a model-based forecasting environment is encountered by hurdles in a small open developing economy. An attempt is made to validate the benefits of model-based inflation forecasting for central banks in small open developing economies. Despite data limitations, two distinct VARs are designed to project near-term inflation. Batteries of tests (such as sequential forecasts, out-of-sample forecasting errors, equal-weight forecasting errors and decomposition) are performed on the two models to assess their predictive ability. The main finding is that model-based forecasts are reliable for use by central banks in small open developing economies, as substantiated by the relatively low forecasting errors.

Suggested Citation

  • Ashwin Madhou & Tayushma Sewak & Imad Moosa & Vikash Ramiah, 2020. "Forecasting inflation in a small open developing economy," Applied Economics, Taylor & Francis Journals, vol. 52(20), pages 2123-2134, April.
  • Handle: RePEc:taf:applec:v:52:y:2020:i:20:p:2123-2134
    DOI: 10.1080/00036846.2019.1683145
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