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Oil price shock and macroeconomic aggregates: Empirical evidence from Nigeria using the structural vector autoregressive (SVAR) approach

Author

Listed:
  • Ahmed Adefemi ADESETE
  • Fatima Abiodun BANKOLE

    (Nigeria)

Abstract

The continual fluctuation in oil price has continued to be a source of concern for economists and policymakers, both in Nigeria and abroad, given its sudden implications on existing and future policy plans as well as on some macroeconomic indicators. The Nigerian economy is an oil-dependent one and has about 90% of its export earnings come from oil and so is highly vulnerable to the sudden changes in oil prices either positive or negative. This paper evaluates the relationship between this unanticipated changes in oil price and some selected macroeconomic aggregates in Nigeria using the structural vector autoregressive (SVAR) methodology while employing its impulse response functions, to further explore the impact of oil price shock on the Nigerian economy over different time period. The SVAR result shows that oil price shock has a negative impact on all of the selected macroeconomic indicators such as economic growth, import, investment, inflation, and the exchange rate except export in the long term. Furthermore, the impulse response functions shows that the response of all selected macroeconomic indicators in this study to oil price shock were mixed but mostly negative over a time period of 12 months. The ADF unit root test confirmed that all series were stationary at I(1) only except inflation rate which was I(0) and I(1). The autocorrelation LM and White heteroscedasticity test confirms the non-rejection of the null hypothesis concluding that the residuals from the SVAR model were not serially correlated and homoscedastic. Based on the findings the study recommended the diversification of the economy to other key sectors such as agriculture and mining to help reduce the over-reliance on crude oil earnings also, measures should be taken to lower the cost of production for crude oil per barrel to minimize the impact of oil price shock on macroeconomic indicators.

Suggested Citation

  • Ahmed Adefemi ADESETE & Fatima Abiodun BANKOLE, 2020. "Oil price shock and macroeconomic aggregates: Empirical evidence from Nigeria using the structural vector autoregressive (SVAR) approach," Journal of Economics Library, EconSciences Journals, vol. 7(2), pages 69-80, June.
  • Handle: RePEc:cvv:journ5:v:7:y:2020:i:2:p:69-80
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    References listed on IDEAS

    as
    1. Chuku, Chuku & Effiong, Ekpeno & Sam, Ndifreke, 2010. "Oil price distortions and their short- and long-run impacts on the Nigerian economy," MPRA Paper 24434, University Library of Munich, Germany.
    2. Feride Ozturk, 2015. "Oil Price Shocks-Macro Economy Relationship in Turkey," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(5), pages 846-857.
    3. Feride Ozturk, 2015. "Oil Price Shocks-Macro Economy Relationship in Turkey," Asian Economic and Financial Review, Asian Economic and Social Society, vol. 5(5), pages 846-857, May.
    4. Aliyu, Shehu Usman Rano, 2009. "Oil Price Shocks and the Macroeconomy of Nigeria: A Non-linear Approach," MPRA Paper 18726, University Library of Munich, Germany, revised 16 Nov 2009.
    5. Oluwatosin Adeniyi & Abimbola Oyinlola & Olusegun Omisakin, 2011. "Oil price shocks and economic growth in Nigeria: are thresholds important?," OPEC Energy Review, Organization of the Petroleum Exporting Countries, vol. 35(4), pages 308-333, December.
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    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • E30 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - General (includes Measurement and Data)
    • F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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