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Impact of Technological Shock on the Sierra Leone Economy: A Dynamic Stochastic General Equilibrium (DSGE) Approach

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  • Barrie, Mohamed Samba
  • Jackson, Emerson Abraham

Abstract

The neoclassical growth model has emphasised the importance of technology shocks, which supposedly affect macroeconomic variables’ heterogeneously in a small open economy like Sierra Leone. Using a Bayesian DSGE methodology for a non-linear model, we found that investment-specific technological shock partly explains business cycle fluctuations in Sierra Leone. Moreover, the analysis indicates that technology shock on output, capital, and consumption is more persistent than that of interest rate. The key implication is that technological innovation is crucial for long-term steady-state growth in Sierra Leone. The results also partly confirm the neoclassical growth model prediction – that is, in the long run, productivity growth is driven only by technological progress. The model specified for this research is largely inward-looking, with a minimal role for the Bank of Sierra Leone to influence investment in technology-related investment directly. Despite this limitation and more so given the fact that the DSGE modelling concept is quite a new venture at the BSL, thoughts have been given to enhance the model’s future capabilities to incorporate both the monetary bloc and external blocs to fully assess the impact of technological shock’s transmission in the entire economy in future research.

Suggested Citation

  • Barrie, Mohamed Samba & Jackson, Emerson Abraham, 2022. "Impact of Technological Shock on the Sierra Leone Economy: A Dynamic Stochastic General Equilibrium (DSGE) Approach," MPRA Paper 113636, University Library of Munich, Germany, revised 10 Jun 2022.
  • Handle: RePEc:pra:mprapa:113636
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    References listed on IDEAS

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    1. Pakko Michael R., 2005. "Changing Technology Trends, Transition Dynamics, and Growth Accounting," The B.E. Journal of Macroeconomics, De Gruyter, vol. 5(1), pages 1-42, December.
    2. Christopher E.S. Warburton & Emerson Abraham Jackson, 2020. "Monetary Policy Responses to Exogenous Perturbations: The Case of a Small Open Economy (2007-2018)," PSL Quarterly Review, Economia civile, vol. 73(293), pages 181-201.
    3. José Luis Torres Chacon, 2015. "Introduction to Dynamic Macroeconomic General Equilibrium Models," Vernon Press Titles in Economics, Vernon Art and Science Inc, edition 2, number 54, July.
    4. Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 2005. "Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy," Journal of Political Economy, University of Chicago Press, vol. 113(1), pages 1-45, February.
    5. Schmitt-Grohe, Stephanie & Uribe, Martin, 2004. "Solving dynamic general equilibrium models using a second-order approximation to the policy function," Journal of Economic Dynamics and Control, Elsevier, vol. 28(4), pages 755-775, January.
    6. Calvo, Guillermo A., 1983. "Staggered prices in a utility-maximizing framework," Journal of Monetary Economics, Elsevier, vol. 12(3), pages 383-398, September.
    7. Kawther Alimi & Mohamed Chakroun, 2022. "Wage Rigidity Impacts on Unemployment and Inflation Persistence in Tunisia: Evidence from an Estimated DSGE Model," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 13(1), pages 474-500, March.
    8. Frank Smets & Rafael Wouters, 2007. "Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach," American Economic Review, American Economic Association, vol. 97(3), pages 586-606, June.
    9. Barrie, Mohamed Samba, 2020. "An empirical analysis of the Determinants of Real GDP Growth in Sierra Leone from 1980-2018," EconStor Research Reports 216885, ZBW - Leibniz Information Centre for Economics.
    10. Jesús Fernández-Villaverde & Pablo A. Guerrón-Quintana, 2021. "Estimating DSGE Models: Recent Advances and Future Challenges," Annual Review of Economics, Annual Reviews, vol. 13(1), pages 229-252, August.
    11. Jason G. Cummins & Giovanni L. Violante, 2002. "Investment-Specific Technical Change in the US (1947-2000): Measurement and Macroeconomic Consequences," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 5(2), pages 243-284, April.
    12. Gordon, Robert J, 1990. "What Is New-Keynesian Economics?," Journal of Economic Literature, American Economic Association, vol. 28(3), pages 1115-1171, September.
    13. Kydland, Finn E & Prescott, Edward C, 1982. "Time to Build and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 50(6), pages 1345-1370, November.
    14. Francis X. Diebold, 1998. "The Past, Present, and Future of Macroeconomic Forecasting," Journal of Economic Perspectives, American Economic Association, vol. 12(2), pages 175-192, Spring.
    15. José Luis Torres Chacon, 2015. "Introduction to Dynamic Macroeconomic General Equilibrium Models [Second Edition, Paperback]," Vernon Press Titles in Economics, Vernon Art and Science Inc, edition 2, number 44.
    16. Lucas, Robert Jr, 1976. "Econometric policy evaluation: A critique," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 1(1), pages 19-46, January.
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    More about this item

    Keywords

    Neoclassical growth model; Bayesian DSGE; Technological Shock; Impulse Response; Sierra Leone;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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