Dynamic Effect of Inflation Shocks in Sierra Leone: An Empirical Analysis

  • Emerson Abraham JACKSON Bank of Sierra Leone , Freetown, Sierra Leone
  • Edmund TAMUKE Bank of Sierra Leone, Freetown, Sierra Leone
  • Mohamed JABBIE Bank of Sierra Leone, Freetown, Sierra Leone

Abstract

In this paper, we have utilized combination of econometric methodologies (Granger Causality and Autoregressive technique) to study the dynamic effects of inflation shocks in Sierra Leone, with 2007M01-2012019M03 as the scoping period. The objectives which include an examination of the existence of cointegration between CPI and other macroeconomic variables, determination of short and long run relationships and the effects of shocks using Impulse Responses and Variance Decomposition were thoroughly addressed as part of the empirical findings. To start with, outcome from Johansen Cointegration test revealed no evidence of cointegration between the variables, while the ultimate use of unrestricted VAR methodology to assess the model’s use for economic policy prescription using impulse response and variance decomposition shows that, with the application of a five-period shock, inflation is likely to show a downward trend. The major outcome from this study shows signs of persistent supply-side inflation pressure, more so with exchange rate (NEXR) and imported petrol prices (Platt_Avg), which are exogenously determined. In order to deal with the issues practically, outcomes from the study have also avail salient recommended points aiding as short-term measures in addressing persistent inflation upturn and its ongoing expectations.

References

[1] Akinboade, A.O., Siebrits, K.F., and Niedermeier, W. E. 2004. The determination of inflation in South Africa: An econometric analysis. AERC Research Paper no 143.
[2] Almounsor, A. 2010. Inflation dynamics in Yemen: An empirical analysis. IMF Working Paper WP/10/144.
[3] Argy, V. 1970. Structural inflation in developing countries. Oxford Economic Papers, 22(1): 73-85. Available at: http://www.jstor.org/stable/2662566
[4] Ayubu, V.S. 2013. Monetary policy and inflation dynamics: An empirical case of Tanzanian economy. Master’s Program in Economics. Available at: http://umu.diva-portal.org/smash/get/diva2:643920/ FULLTEXT01.pdf
[5] Baciu, I. 2015. Determinants of inflation in Romania: Empirical analysis using the vector error correction model. The Macrotheme Review, 4(3): 16-30.
[6] Brooks. C. 2014. Introductory Econometrics for Finance. Cambridge University Press: UK. ISBN: 978-1107661455, 800 pp. DOI: https://doi.org/10.1017/CBO9781139540872
[7] Darbo, S., and Nakumuryango, A.S. 2019. Inflation dynamics in post-secession Sudan. African development group, Working Paper Series, No. 305.
[8] Dossche, M. 2009. Understanding inflation dynamics: Where do we stand? Working Paper Research, No. 165, National Bank of Belgium. Available at: http://aei.pitt.edu/11779/1/wp165En.pdf
[9] Friedman, M. 1963. Inflation causes and consequences. New York: Asia Publishing House. ISBN-10: 0598393897, ISBN-13: 978-0598393890, 51 p.
[10] Gujarati, D.N. 2004. Basic Econometrics (4th Edition). The McGraw-Hill Company: UK and USA. ISBN: 978-0070597938, 1032 p.
[11] Jackson, E.A. 2016. Phronesis and Hermeneutics: The Construct of Social/Economic Phenomenon and their Interpretation for a Sustainable Society. Economic Insights – Trends and Challenges, 8(2): 1-8.
[12] Jackson, E.A. 2017. Economic methodology: Paradox of Ceteris Paribus (CP) law in the context of Sierra Leone. Method(e)s: African Review of Social Sciences Methodology, 2(1-2): 31-40. DOI: https://doi.org/10.1080/23754745.2017.1354553
[13] Jackson, E.A. 2018. Comparison between static and dynamic forecast in autoregressive integrated moving average for seasonally adjusted headline consumer price index. DOI: http://dx.doi.org/10.2139/ssrn.3162606
[14] Jackson, E.A. (Forthcoming). Informal employment. In Walter L. Filho et al. (eds.). Decent work and economic growth: Encyclopedia of sustainable development goal, Springer Nature Publisher. ISBN: 978-3-319-95867-5.
[15] Jackson, E.A., and Jabbie, M. 2019. Understanding market failure in the developing country context (Online First). In, Walter L. Filho (eds), Decent work and economic growth: Encyclopedia of sustainable development goals, Springer Nature Publisher. DOI: https://doi.org/10.1007/978-3-319-71058-7_44-1
[16] Jackson, E.A., and Tamuke, E. 2018. Probability forecast using fan chart analysis: A case of the Sierra Leone economy. Journal of Advanced Studies in Finance, 9(1): 34-44. DOI: https://doi.org/10.14505//jasf.v9.1(17).04
[17] Jackson, E.A., Tamuke, E., and Sillah, A. 2018. Modelling Monthly Headline Consumer Price Index (HCPI) through seasonal Box-Jenkins methodology. International Journal of Sciences, 7(1): 51-56. DOI: 10.18483/ijSci.1507
[18] Kallon, K. 1994. An econometric analysis of inflation in Sierra Leone. Journal of African Economies, 3(2): 199–230.
[19] Lack, C. 2006. Forecasting Swiss inflation using VAR Models. Swiss National Bank Economic Studies, No. 2. Available at: https://www.snb.ch/n/mmr/reference/economic_studies_2006_02/source/economic_studies_20 06_02.n.pdf
[20] Mansara-Pearce, E.A., and Pingfeng, L. 2015. The determinants of inflation in Sierra Leone: A cointegration analysis. Journal of Economics and Sustainable Development, 6(6): 121-131.
[21] Moriyama, K. 2008. Investigating inflation dynamics in Sudan. IMF Working Paper WP/08/189. Washington DC: International Monetary Fund.
[22] Olatunji, T.M., Sunday, A.A., and Omolara, Y.J. 2012. The dynamic causality between money and macroeconomic activity: Empirical evidence from Nigeria (1960-2011). Jurnal Pengurusan, 36: 135-148.
[23] Pindiriri, C. 2012. Monetary reforms and inflation dynamics in Zimbabwe. International Research Journal of Finance and Economics, 90: 208-210. Available at: https://www.researchgate.net/publication/262484405_ Monetary_Reforms_and_Inflation_Dynamics_in_Zimbabwe
[24] Robinson, W. 1998. Forecasting inflation using VAR Analysis. Bank of Jamaica. Available at: http://boj.org.jm/ uploads/pdf/papers_pamphlets/papers_pamphlets_forecasting_inflation_using_var_analysis.pdf
[25] Tamuke, E., Jackson, E.A., and Sillah, A. 2018. Forecasting inflation in Sierra Leone using ARIMIA and ARIMAX: A comparative evaluation. Theoretical and Practical Research in Economic Field, Volume IX, Summer, 1(17): 63-74.
[26] Totonchi, T. 2011. Macroeconomic theories of inflation. 2011 International Conference on Economics and Finance Research. IPEDR, Volume 4, IACSIT Press, Singapore.
[27] Warburton, C.E.S., and Jackson, E.A. (forthcoming). Monetary policy responses to exogenous perturbations: The case of a small open economy (2007 – 2018).
[28] Žiković, I.T. 2016. Modelling the impact of macroeconomic variables on aggregate corporate insolvency: Case of Croatia. Economic Research (Ekonomska Istraživanja), 29(1): 515-528.
*** Statistics Sierra Leone [SSL]. 2018. Report on the 2016 and 2017 Real Gross Domestic Product (RGDP) Figures at 2006 Prices. SSL National Accounts Unit. Available at: https://www.statistics.sl/images/StatisticsSL/ Documents/gdp/2017_gdp_analysis.pdf (accessed on 28th August, 2019)
*** UNDP. 2016. Primary commodity booms and busts.: Emerging lessons from Sub-Saharan African. United Nations Development Program – Regional Bureau for Africa. Available at: https://www.undp.org/content/dam/ sierraleone/docs/annualreports/undp-rba-primary%20commodities%20boom%20bust%20april%202016.pdf (accessed on 30th August, 2019)
Published
2020-02-03
How to Cite
JACKSON, Emerson Abraham; TAMUKE, Edmund; JABBIE, Mohamed. Dynamic Effect of Inflation Shocks in Sierra Leone: An Empirical Analysis. Journal of Advanced Studies in Finance, [S.l.], v. 10, n. 2, p. 73-91, feb. 2020. ISSN 2068-8393. Available at: <https://journals.aserspublishing.eu/jasf/article/view/4311>. Date accessed: 07 dec. 2024. doi: https://doi.org/10.14505//jasf.v10.2(20).01.
Section
Journal of Advanced Studies in Finance