COMPARISON BETWEEN STATIC AND DYNAMIC FORECAST IN AUTOREGRESSIVE INTEGRATED MOVING AVERAGE FOR SEASONALLY ADJUSTED HEADLINE CONSUMER PRICE INDEX

Emerson Jackson

Revista Economica, 2018, vol. 70, issue 1, 53-65

Abstract: This empirical study has provided interpretive outcome from a univariate forecast using Box-Jenkins ARIMA methodology. The HCPI_SA seasonally adjusted data for Sierra Leone shows a robust model outcome with three months ahead prediction based on the STATIC method result. Test results like Autocorrelation and also comparative values for MAPE and the Inverted Root values have indicated that the model is a good fit. Despite better choice of outcome from the STATIC result in comparison to DYNAMIC forecast, the conclusion a cautious means of advice when using results for policy outcomes and with comparative forecasts highly recommended a way forward in guiding policy makers' decision.

Keywords: ARIMA; Forecast; Headline Consumer Price Index [HCPI]; Sierra Leone (search for similar items in EconPapers)
JEL-codes: E1 E17 (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (7)

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Related works:
Working Paper: Comparison between Static and Dynamic Forecast in Autoregressive Integrated Moving Average for Seasonally Adjusted Headline Consumer Price Index (2018)
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Persistent link: https://EconPapers.repec.org/RePEc:blg:reveco:v:70:y:2018:i:1:p:53-65

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