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The dynamics of fuel demand and illegal fuel activity in Turkey

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  • Yalta, A. Talha
  • Yalta, A. Yasemin

Abstract

We expose the dynamics of road fuel demand by employing maximum entropy resampling based interval estimates in a fixed width rolling window framework. Our approach facilitates using a uniform specification in a sequential procedure while also providing robust and efficient estimates that can evolve over time. Ours is also the first study to develop a method for estimating illegal fuel activity. To demonstrate our methodology, we use monthly data between 2003–2012 and focus on the demand for diesel and gasoline in Turkey. The results show estimated monthly illegal activity ranging between 5–23 million liters over the last six years.

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  • Yalta, A. Talha & Yalta, A. Yasemin, 2016. "The dynamics of fuel demand and illegal fuel activity in Turkey," Energy Economics, Elsevier, vol. 54(C), pages 144-158.
  • Handle: RePEc:eee:eneeco:v:54:y:2016:i:c:p:144-158
    DOI: 10.1016/j.eneco.2015.11.026
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    1. Adeyemi, Olutomi I. & Hunt, Lester C., 2007. "Modelling OECD industrial energy demand: Asymmetric price responses and energy-saving technical change," Energy Economics, Elsevier, vol. 29(4), pages 693-709, July.
    2. Adeyemi, Olutomi I. & Broadstock, David C. & Chitnis, Mona & Hunt, Lester C. & Judge, Guy, 2010. "Asymmetric price responses and the underlying energy demand trend: Are they substitutes or complements? Evidence from modelling OECD aggregate energy demand," Energy Economics, Elsevier, vol. 32(5), pages 1157-1164, September.
    3. Kenneth A. Small & Kurt Van Dender, 2007. "Fuel Efficiency and Motor Vehicle Travel: The Declining Rebound Effect," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 25-52.
    4. Kim, Jae H. & Fraser, Iain & Hyndman, Rob J., 2011. "Improved interval estimation of long run response from a dynamic linear model: A highest density region approach," Computational Statistics & Data Analysis, Elsevier, vol. 55(8), pages 2477-2489, August.
    5. Lin, C.-Y. Cynthia & Prince, Lea, 2013. "Gasoline price volatility and the elasticity of demand for gasoline," Energy Economics, Elsevier, vol. 38(C), pages 111-117.
    6. JAMES G. MacKINNON, 2006. "Bootstrap Methods in Econometrics," The Economic Record, The Economic Society of Australia, vol. 82(s1), pages 2-18, September.
    7. Birol, F. & Guerer, N., 1993. "Modelling the transport sector fuel demand for developng economies," Energy Policy, Elsevier, vol. 21(12), pages 1163-1172, December.
    8. Broadstock, David C. & Hunt, Lester C., 2010. "Quantifying the impact of exogenous non-economic factors on UK transport oil demand," Energy Policy, Elsevier, vol. 38(3), pages 1559-1565, March.
    9. Vinod, Hrishikesh D. & Lopez-de-Lacalle, Javier, 2009. "Maximum Entropy Bootstrap for Time Series: The meboot R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i05).
    10. James M. Griffin & Craig T. Schulman, 2005. "Price Asymmetry in Energy Demand Models: A Proxy for Energy-Saving Technical Change?," The Energy Journal, International Association for Energy Economics, vol. 0(Number 2), pages 1-22.
    11. Dermot Gately & Hiliard G. Huntington, 2002. "The Asymmetric Effects of Changes in Price and Income on Energy and Oil Demand," The Energy Journal, International Association for Energy Economics, vol. 0(Number 1), pages 19-55.
    12. Erdogdu, Erkan, 2014. "Motor fuel prices in Turkey," Energy Policy, Elsevier, vol. 69(C), pages 143-153.
    13. Mimmi, Luisa M. & Ecer, Sencer, 2010. "An econometric study of illegal electricity connections in the urban favelas of Belo Horizonte, Brazil," Energy Policy, Elsevier, vol. 38(9), pages 5081-5097, September.
    14. Shanjun Li & Christopher Timmins & Roger H. von Haefen, 2009. "How Do Gasoline Prices Affect Fleet Fuel Economy?," American Economic Journal: Economic Policy, American Economic Association, vol. 1(2), pages 113-137, August.
    15. Vinod, H. D., 2004. "Ranking mutual funds using unconventional utility theory and stochastic dominance," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 353-377, June.
    16. Jonathan E. Hughes & Christopher R. Knittel & Daniel Sperling, 2008. "Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand," The Energy Journal, International Association for Energy Economics, vol. 29(1), pages 113-134.
    17. Baltagi, Badi H. & Griffin, James M., 1997. "Pooled estimators vs. their heterogeneous counterparts in the context of dynamic demand for gasoline," Journal of Econometrics, Elsevier, vol. 77(2), pages 303-327, April.
    18. Hasanov, Mübariz, 2015. "The demand for transport fuels in Turkey," Energy Economics, Elsevier, vol. 51(C), pages 125-134.
    19. Dahl, Carol A., 2012. "Measuring global gasoline and diesel price and income elasticities," Energy Policy, Elsevier, vol. 41(C), pages 2-13.
    20. Baltagi, Badi H. & Griffin, James M., 1983. "Gasoline demand in the OECD : An application of pooling and testing procedures," European Economic Review, Elsevier, vol. 22(2), pages 117-137, July.
    21. Vinod, Hrishikesh D., 2006. "Maximum entropy ensembles for time series inference in economics," Journal of Asian Economics, Elsevier, vol. 17(6), pages 955-978, December.
    22. Thomas Klier & Joshua Linn, 2010. "The Price of Gasoline and New Vehicle Fuel Economy: Evidence from Monthly Sales Data," American Economic Journal: Economic Policy, American Economic Association, vol. 2(3), pages 134-153, August.
    23. Mark R. Jacobsen, 2013. "Fuel Economy and Safety: The Influences of Vehicle Class and Driver Behavior," American Economic Journal: Applied Economics, American Economic Association, vol. 5(3), pages 1-26, July.
    24. A. Talha Yalta, 2013. "Small Sample Bootstrap Inference of Level Relationships in the Presence of Autocorrelated Errors: A Large Scale Simulation Study and an Application in Energy Demand," Working Papers 1301, TOBB University of Economics and Technology, Department of Economics.
    25. Tasdoven, Hidayet & Fiedler, Beth Ann & Garayev, Vener, 2012. "Improving electricity efficiency in Turkey by addressing illegal electricity consumption: A governance approach," Energy Policy, Elsevier, vol. 43(C), pages 226-234.
    26. Smith, Thomas B., 2004. "Electricity theft: a comparative analysis," Energy Policy, Elsevier, vol. 32(18), pages 2067-2076, December.
    27. Park, Sung Y. & Zhao, Guochang, 2010. "An estimation of U.S. gasoline demand: A smooth time-varying cointegration approach," Energy Economics, Elsevier, vol. 32(1), pages 110-120, January.
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    More about this item

    Keywords

    Energy demand; Gasoline; Diesel; Maximum entropy; Bootstrap; Turkey;
    All these keywords.

    JEL classification:

    • Q41 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Demand and Supply; Prices
    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General

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