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The Effect of Oil Price Fluctuation on the Economy of Nigeria

Author

Listed:
  • Jelilov Gylych

    (Department of Economics, Nile University of Nigeria, Nigeria.)

  • Abdullahi Ahmad Jbrin

    (Department of Economics, Nile University of Nigeria, Nigeria.)

  • Bilal Celik

    (Department of Economics, Nile University of Nigeria, Nigeria.)

  • Abdurrahman Isik

    (Department of Economics, Nile University of Nigeria, Nigeria.)

Abstract

The aim of the study is to find the empirical analyses of the impact of oil price fluctuation on the monetary instrument in Nigeria, by looking at their relationships. Specifically, we analyzed the role of Exchange rate, Inflation, Interest rate and how they respond to shocks in oil price. We explored the frequently used Toda Yamamoto model (TY), by adopting the TY modified Wald (MWALD) test approach to causality, forecast error variance decomposition (FEVD) and impulse response functions (IRFs). The study covered the period Q1 1995-Q4 2018, and our findings from MWALD test indicated that there is a uni-directional causality at 5% level of significance a response of lnintr due to positive change in lnoilpr and next, and the combination of variables with lnintr as a dependent variable contributed to it changes. This also corroborates with our findings in FEVD, of lnintr, contributing to its future error variation of 97.41%, 60.94% and 54.34% for the 1st, 9th and 10th year, and followed by lnoilpr, contributing 24.86% and 31.12% in the 9th and 10th year, also lnexcr contributes 10.35%, 10.80% and 10.19% in 4th, 5th and 6th year into the future, this indicates also a strong causal relationship into the future. The IRFs also complement our findings, where we observed that the relationship between lnoilpr independent variable and lnintr as the dependent variable is an inverse relationship, while other independent variables are positive.

Suggested Citation

  • Jelilov Gylych & Abdullahi Ahmad Jbrin & Bilal Celik & Abdurrahman Isik, 2020. "The Effect of Oil Price Fluctuation on the Economy of Nigeria," International Journal of Energy Economics and Policy, Econjournals, vol. 10(5), pages 461-468.
    • Handle: RePEc:eco:journ2:2020-05-53
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    References listed on IDEAS

    as
    1. James D. Hamilton, 2009. "Causes and Consequences of the Oil Shock of 2007-08," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 40(1 (Spring), pages 215-283.
    2. Johansen, Soren, 1992. "Determination of Cointegration Rank in the Presence of a Linear Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 383-397, August.
    3. Venus Khim-Sen Liew, 2004. "Which Lag Length Selection Criteria Should We Employ?," Economics Bulletin, AccessEcon, vol. 3(33), pages 1-9.
    4. Saban Nazlioglu & Alper Gormus & Ugur Soytas, 2019. "Oil Prices and Monetary Policy in Emerging Markets: Structural Shifts in Causal Linkages," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 55(1), pages 105-117, January.
    5. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
    6. Ritwik Mazumder & Sanjib Debnath, 2016. "Causality between Monetary Expansion and the Price Level in India since 1950s – A Re-Examination," Journal of Reviews on Global Economics, Lifescience Global, vol. 5, pages 154-164.
    7. Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
    8. Christopher F Baum & Jesús Otero, 2017. "Response surface models for the Elliott, Rothenberg, Stock DF-GLS unit root test," United Kingdom Stata Users' Group Meetings 2017 10, Stata Users Group.
    9. Jarita Duasa, 2007. "Determinants of Malaysian Trade Balance: An ARDL Bound Testing Approach," Global Economic Review, Taylor & Francis Journals, vol. 36(1), pages 89-102.
    10. Asghar, Zahid & Abid, Irum, 2007. "Performance of lag length selection criteria in three different situations," MPRA Paper 40042, University Library of Munich, Germany.
    11. Jesús Otero & Christopher F Baum, 2017. "Response surface models for the Elliott, Rothenberg, and Stock unit-root test," Stata Journal, StataCorp LP, vol. 17(4), pages 985-1002, December.
    12. Zombe Chibvalo & Daka Lincoln & Phiri Christopher & Kaonga Oliver & Seshamani Venkatesh & Chibwe Francis, 2017. "Investigating the Causal Relationship between Inflation and Trade Openness using Toda–Yamamoto Approach: Evidence from Zambia," Mediterranean Journal of Social Sciences, Sciendo, vol. 8(6), pages 171-182, November.
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    More about this item

    Keywords

    Oil Price; Exchange rate; Inflation; Interest rate; Toda Yamamoto.;
    All these keywords.

    JEL classification:

    • Q1 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture
    • Q3 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Nonrenewable Resources and Conservation
    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • Q47 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy Forecasting

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