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Modeling Gasoline Demand with Structural Breaks:New Evidence from Nigeria

  • Olusegun A. Omisakin

    (Department of Economics and Business Studies, Redeemer’s University, Nigeria)

  • Abimbola M. Oyinlola

    (Department of Economics, University of Ibadan, Nigeria)

  • Oluwatosin A. Adeniyi

    (Department of Economics and Business Studies, Redeemer’s University, Nigeria)

This paper extends previous studies in modeling and estimating demand for gasoline for Nigeria from 1977 to 2008. The ingenious attempt of this study, contrast to earlier studies on Nigeria and other developing countries, lies in its assumption of structural breaks in the long run relationship among the variables employed. The study tests for the possibility of structural breaks/regime shifts and parameter instability in the gasoline demand function in Nigeria using more recent and robust techniques. While the conventional residual-based cointegration tests employed fail to identify any meaningful long-run relationship in the gasoline function, the Gregory-Hansen structural break cointegration approach confirms the cointegration relationships despite the breakpoints. The elasticity estimates also follow the a priori expectations being inelastic both in the long- and short-run for both price and income. Having identified plausible breaks in the systems, the test does suggest that a structural break in the cointegration vector is important and needs to be taken care of in the specification of gasoline demand functions in Nigeria. It is envisaged, therefore, that substantial policy lessons would be drawn from the findings of this study especially in the current phase of energy industry deregulation in Nigeria.

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Article provided by Econjournals in its journal International Journal of Energy Economics and Policy.

Volume (Year): 2 (2012)
Issue (Month): 1 ()
Pages: 1-9

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Handle: RePEc:eco:journ2:2012-01-1
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  1. James G. MacKinnon & Alfred A. Haug & Leo Michelis, 1996. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Working Papers 1996_07, York University, Department of Economics.
  2. Stephen Leybourne & Paul Newbold, 2003. "Spurious rejections by cointegration tests induced by structural breaks," Applied Economics, Taylor & Francis Journals, vol. 35(9), pages 1117-1121.
  3. Glauco De Vita & Klaus Endresen & Lester C Hunt, 2005. "An Empirical Analysis of Energy Demand in Namibia," Surrey Energy Economics Centre (SEEC), School of Economics Discussion Papers (SEEDS) 110, Surrey Energy Economics Centre (SEEC), School of Economics, University of Surrey.
  4. Polemis, Michael L., 2006. "Empirical assessment of the determinants of road energy demand in Greece," Energy Economics, Elsevier, vol. 28(3), pages 385-403, May.
  5. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
  6. Iwayemi, Akin & Adenikinju, Adeola & Babatunde, M. Adetunji, 2010. "Estimating petroleum products demand elasticities in Nigeria: A multivariate cointegration approach," Energy Economics, Elsevier, vol. 32(1), pages 73-85, January.
  7. Bentzen, Jan & Engsted, Tom, 2001. "A revival of the autoregressive distributed lag model in estimating energy demand relationships," Energy, Elsevier, vol. 26(1), pages 45-55.
  8. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
  9. Vogelsang, T.I. & Perron, P., 1991. "Nonstationary and Level Shifts With An Application To Purchasing Power Parity," Papers 359, Princeton, Department of Economics - Econometric Research Program.
  10. Allan w. Gregory & Bruce E. Hansen, 1992. "residual-Based Tests for Cointegration in Models with Regime Shifts," Working Papers 862, Queen's University, Department of Economics.
  11. Donald W.K. Andrews & Werner Ploberger, 1992. "Optimal Tests When a Nuisance Parameter Is Present Only Under the Alternative," Cowles Foundation Discussion Papers 1015, Cowles Foundation for Research in Economics, Yale University.
  12. Peter C.B. Phillips, 1985. "Understanding Spurious Regressions in Econometrics," Cowles Foundation Discussion Papers 757, Cowles Foundation for Research in Economics, Yale University.
  13. Donald W.K. Andrews, 1990. "Tests for Parameter Instability and Structural Change with Unknown Change Point," Cowles Foundation Discussion Papers 943, Cowles Foundation for Research in Economics, Yale University.
  14. Lee, Chien-Chiang & Chang, Chun-Ping, 2005. "Structural breaks, energy consumption, and economic growth revisited: Evidence from Taiwan," Energy Economics, Elsevier, vol. 27(6), pages 857-872, November.
  15. Peter C.B. Phillips & Sam Ouliaris, 1987. "Asymptotic Properties of Residual Based Tests for Cointegration," Cowles Foundation Discussion Papers 847R, Cowles Foundation for Research in Economics, Yale University, revised Jul 1988.
  16. Hansen, Bruce E, 2002. "Tests for Parameter Instability in Regressions with I(1) Processes," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 45-59, January.
  17. Alves, Denisard C. O. & De Losso da Silveira Bueno, Rodrigo, 2003. "Short-run, long-run and cross elasticities of gasoline demand in Brazil," Energy Economics, Elsevier, vol. 25(2), pages 191-199, March.
  18. Allan W. Gregory & James M. Nason, 1991. "Testing for Structural Breaks," Working Papers 827, Queen's University, Department of Economics.
  19. Akinboade, Oludele A. & Ziramba, Emmanuel & Kumo, Wolassa L., 2008. "The demand for gasoline in South Africa: An empirical analysis using co-integration techniques," Energy Economics, Elsevier, vol. 30(6), pages 3222-3229, November.
  20. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
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