Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11851/1114
Title: The dynamics of fuel demand and illegal fuel activity in Turkey
Authors: Yalta, Abdullah Talha
Yalta, Ayşe Talha
Keywords: Turkey
gasoline
diesel
maximum entropy
bootstrap
energy demand
Issue Date: Feb-2016
Publisher: Elsevier Science Bv
Source: Yalta, A. T., & Yalta, A. Y. (2016). The dynamics of fuel demand and illegal fuel activity in Turkey. Energy Economics, 54, 144-158.
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. (C) 2015 Elsevier B.V. All rights reserved.
URI: https://doi.org/10.1016/j.eneco.2015.11.026
https://hdl.handle.net/20.500.11851/1114
ISSN: 0140-9883
Appears in Collections:İktisat Bölümü / Department of Economics
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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