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Disaggregated Short-Term Inflation Forecast (STIF) for Monetary Policy Decision in Sierra Leone

Author

Listed:
  • Jackson, Emerson Abraham
  • Tamuke, Edmund
  • Jabbie, Mohamed

Abstract

In this paper, the researchers have developed a short term inflation forecasting (STIF) model using Box-Jenkins time series approach (ARIMA) for analysing inflation and associated risks in Sierra Leone. The model is aided with fan charts for all thirteen components, including the Headline CPI as communication tools to inform the general public about uncertainties that surround price dynamics in Sierra Leone – this then make it possible for policy makers to utilise expert judgments in a bid to stabilize the economy. The uniqueness of this paper is its interpretation of risks to each of the disaggregated components, while also improving credibility of decisions taken by policy makers at the Bank of Sierra Leone [BSL]. Empirically, Food and Non-Alcoholic Beverages, Housing and Health components indicate that shock arising from within or outside of Sierra Leone can significantly impact headline CPI, with immediate pass-through effect of high prices on consumers’ spending, at least in the short-run. The outcome of this empirical research shows uniqueness of the disaggregated model in tailoring policy makers’ attention towards targeting sector-specific policy interventions. Fan Charts produced have also highlighted degree of risks, which is based on confidence bands, which shows deviation from the baseline forecast. The ultimate goal is to improve sectoral productive capacity, while at the same time, monitoring price volatility spill-over through empirical disaggregation of the CPI basket – in association with this, outcome from the study also shows that the use of multivariate models like VAR would be welcome to monitor events on price dynamics in the national economy.

Suggested Citation

  • Jackson, Emerson Abraham & Tamuke, Edmund & Jabbie, Mohamed, 2019. "Disaggregated Short-Term Inflation Forecast (STIF) for Monetary Policy Decision in Sierra Leone," MPRA Paper 96735, University Library of Munich, Germany, revised 26 Nov 2019.
    • Handle: RePEc:pra:mprapa:96735
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    References listed on IDEAS

    as
    1. Jackson, Emerson Abraham & Jabbie, Mohamed, 2019. "Understanding Market Failure in the Developing Country Context," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, pages 1-10.
    2. Emerson Abraham Jackson & Edmond Tamuke & Abdulai Sillah, 2018. "Modelling Monthly Headline Consumer Price Index (HCPI) through Seasonal Box-Jenkins Methodology," International Journal of Sciences, Office ijSciences, vol. 7(01), pages 51-56, January.
    3. Thomas J. Sargent & Neil Wallace, 1984. "Some Unpleasant Monetarist Arithmetic," Palgrave Macmillan Books, in: Brian Griffiths & Geoffrey E. Wood (ed.), Monetarism in the United Kingdom, pages 15-41, Palgrave Macmillan.
    4. Emerson JACKSON & Edmund TAMUKE, 2019. "Predicting Disaggregated Tourist Arrivals In Sierra Leone Using Arima Model," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 10(2), pages 132-142.
    5. A. Espasa & E. Senra & R. Albacete, 2002. "Forecasting inflation in the European Monetary Union: A disaggregated approach by countries and by sectors," The European Journal of Finance, Taylor & Francis Journals, vol. 8(4), pages 402-421.
    6. Jackson, Emerson Abraham & Tamuke, Edmund, 2019. "Predicting disaggregated tourist arrivals in Sierra Leone using ARIMA model," MPRA Paper 96845, University Library of Munich, Germany, revised 23 Dec 2019.
    7. Hubrich, Kirstin, 2005. "Forecasting euro area inflation: Does aggregating forecasts by HICP component improve forecast accuracy?," International Journal of Forecasting, Elsevier, vol. 21(1), pages 119-136.
    8. EMERSON Abraham Jackson, 2018. "Comparison Between Static And Dynamic Forecast In Autoregressive Integrated Moving Average For Seasonally Adjusted Headline Consumer Price Index," Revista Economica, Lucian Blaga University of Sibiu, Faculty of Economic Sciences, vol. 70(1), pages 53-65, August.
    9. Ms. Laura Papi & Ms. G. C. Lim, 1997. "An Econometric Analysis of the Determinants of Inflation in Turkey," IMF Working Papers 1997/170, International Monetary Fund.
    10. Andrea Pescatori & Saeed Zaman, 2011. "Macroeconomic models, forecasting, and policymaking," Economic Commentary, Federal Reserve Bank of Cleveland, issue Oct.
    11. Jackson, Emerson Abraham, 2019. "Systemic health care failure as a symptom of Market Failure in Sierra Leone," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, issue Forthcomi.
    12. Emerson JACKSON & Edmund TAMUKE, 2018. "Probability Forecast Using Fan Chart Analysis A Case of the Sierra Leone Economy," Journal of Advanced Studies in Finance, ASERS Publishing, vol. 9(1), pages 34-44.
    13. Jackson, Emerson Abraham & Tamuke, Edmund, 2018. "Probability Forecast Using Fan Chart Analysis: A case of the Sierra Leone Economy," MPRA Paper 88853, University Library of Munich, Germany, revised 04 Sep 2018.
    14. Sims, Christopher A, 1980. "Comparison of Interwar and Postwar Business Cycles: Monetarism Reconsidered," American Economic Review, American Economic Association, vol. 70(2), pages 250-257, May.
    15. Edmund TAMUKE & Emerson JACKSON & Abdulai SILLAH, 2018. "Forecasting Inflation In Sierra Leone Using Arima And Arimax: A Comparative Evaluation. Model Building And Analysis Team," Theoretical and Practical Research in the Economic Fields, ASERS Publishing, vol. 9(1), pages 63-74.
    16. William Oliver Coleman, 2007. "The Causes, Costs and Compensations of Inflation," Books, Edward Elgar Publishing, number 3906.
    17. repec:srs:journl:jasf:v:9:y:2018:i:1:p:34-44 is not listed on IDEAS
    18. Roma, Moreno & Skudelny, Frauke & Benalal, Nicholai & Diaz del Hoyo, Juan Luis & Landau, Bettina, 2004. "To aggregate or not to aggregate? Euro area inflation forecasting," Working Paper Series 374, European Central Bank.
    19. Gordon, Robert J, 1977. "The Theory of Domestic Inflation," American Economic Review, American Economic Association, vol. 67(1), pages 128-134, February.
    20. Emerson JACKSON & Mohamed JABBIE, 2020. "Twin Deficits Hypothesis as an Indication of Government Failure in Sierra Leone: An Empirical Investigation (1980-2018)," Journal of Economic Policy Researches, Istanbul University, Faculty of Economics, vol. 7(1), pages 42-68, January.
    21. Peter J. Montiel, 1989. "Empirical Analysis of High-Inflation Episodes in Argentina, Brazil, and Israel," IMF Staff Papers, Palgrave Macmillan, vol. 36(3), pages 527-549, September.
    Full references (including those not matched with items on IDEAS)

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    Cited by:

    1. Jackson, Emerson Abraham, 2020. "Understanding SLL / US$ exchange rate dynamics in Sierra Leone using Box-Jenkins ARIMA approach," MPRA Paper 97965, University Library of Munich, Germany, revised 03 Jan 2020.
    2. Jabbie, Mohamed & Jackson, Emerson Abraham, 2020. "On the Validity of Purchasing Power Parity (PPP): The Case of Sierra Leone," MPRA Paper 110659, University Library of Munich, Germany, revised 05 Jun 2020.
    3. Jackson, Emerson Abraham & Tamuke, Edmund, 2021. "The Science and Art of Communicating Fan Chart Uncertainty: The case of Inflation Outcome in Sierra Leone," MPRA Paper 105892, University Library of Munich, Germany, revised 05 Jan 2021.

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    More about this item

    Keywords

    STIF; ARIMA; Disaggregated CPI; Fan Charts; Sierra Leone;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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