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Der Einfluss des Erdölpreises auf die Energiesteuerprognose

Listed author(s):
  • Boysen-Hogrefe, Jens

Die vorliegende Studie untersucht die Zusammenhänge zwischen Erdölpreisen, Kraftstoffpreisen, verbrauchten Mengen und dem Energiesteueraufkommen. Wesentliche Ergebnisse sind, dass die verbrauchten Kraftstoffmengen mit der gesamtwirtschaftlichen Produktion und den Erdölpreisen schwanken. Vor diesem Hintergrund ist die Frage durchaus von Bedeutung, welche Erdölpreisannahme in den Projektionen gemacht wird, die die Grundlage der Steuerschätzung bilden. Ökonomisch relevante Effekte lassen sich allerdings nur dann feststellen, wenn Elastizitäten betragsmäßig im oberen Bereich der vorliegenden Schätzungen verortet werden.

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File URL: https://www.econstor.eu/bitstream/10419/76723/1/751154423.pdf
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Paper provided by Kiel Institute for the World Economy (IfW) in its series Kiel Working Papers with number 1849.

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Date of creation: 2013
Handle: RePEc:zbw:ifwkwp:1849
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  1. 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.
  2. repec:bla:restud:v:57:y:1990:i:1:p:99-125 is not listed on IDEAS
  3. Belke, Ansgar & Dobnik, Frauke & Dreger, Christian, 2011. "Energy consumption and economic growth: New insights into the cointegration relationship," Energy Economics, Elsevier, vol. 33(5), pages 782-789, September.
  4. Hansen, Bruce E., 1992. "Efficient estimation and testing of cointegrating vectors in the presence of deterministic trends," Journal of Econometrics, Elsevier, vol. 53(1-3), pages 87-121.
  5. Frondel, Manuel & Ritter, Nolan & Vance, Colin, 2012. "Heterogeneity in the rebound effect: Further evidence for Germany," Energy Economics, Elsevier, vol. 34(2), pages 461-467.
  6. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501.
  7. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
  8. 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.
  9. Manuel Frondel & Jorg Peters & Colin Vance, 2008. "Identifying the Rebound: Evidence from a German Household Panel," The Energy Journal, International Association for Energy Economics, vol. 0(Number 4), pages 145-164.
  10. Blum, U.C.H. & Foos, G. & Gaudry, M.J.I., 1986. "Aggregate Time Series Gasoline Demand Models. Review of the Literature and New Evidence for West Germany," Cahiers de recherche 8617, Universite de Montreal, Departement de sciences economiques.
  11. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
  12. Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-193, January.
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